Mini-Symposia
Advanced Analysis of Steel and Steel-Concrete Composite Structures
Coordinators: José Guilherme Santos da Silva e Ricardo Azoubel da Mota Silveira
Advanced Analysis of Steel and Steel-Concrete Composite Structures
The aim of this mini-symposium is to summarize the progress in theoretical, computational and experimental research in the field of structural analysis of steel and steel-concrete composite structures. Special emphasis is always given to new concepts and procedures concerning the computational modelling, structural analysis and design of steel and steel-concrete composite structures. Topics of interest include static and dynamic analysis, fatigue analysis, seismic analysis, vibration control, stability design, structural connections, cold-formed members, bridges and footbridges, fire engineering, trusses, tower and masts, linear and nonlinear structural dynamics and soil-structure interaction. Papers of all research areas related to theoretical, numerical and experimental aspects concerning the computational modelling, analysis and design of steel and steel-concrete composite structures are very welcome.
Advanced Discretization Techniques for the Simulation of Fluid Flow in Porous Media
Coordinators: Paulo Roberto Maciel Lyra, Darlan K. E. Carvalho, Maicon R. Correa
Advanced Discretization Techniques for the Simulation of Fluid Flow in Porous Media
The mini-symposium is dedicated to the discussion of recent developments and applications in the field of Numerical Simulation of multiphase flow in porous media, encompassing petroleum reservoirs, aquifer, nuclear disposal, transport of contaminants, poroelasticity and related disciplines, including new gridding, mesh adaptation, advanced numerical formulations, multiscale and multilevel methods. The goal is to bring together researchers, students and professionals in the field of petroleum reservoir simulation and all areas involving porous media flows. The scope of the mini-symposium ranges from the mathematical and computational methods to the modeling and simulation of challenging applications in multiphase flow in porous media.
Advances In Lattice-Boltzmann And Particle-Based Methods
Coordinators: Paulo Philippi, Admilson Teixeira Franco, Luiz A. Hegele Junior, Luben Cabezas Gomes, Rodrigo Carlos Viana Coelho
Advances In Lattice-Boltzmann And Particle-Based Methods
This event aims to promote in-depth discussions and showcase recent advancements related to lattice Boltzmann methods, molecular dynamics, smoothed particle hydrodynamics (SPH), and other particle-based approaches, highlighting their applications and potential across various engineering and applied science fields. Topics of interest include but are not limited to: Recent advances in lattice Boltzmann methods, Applications in fluid mechanics and heat transfer, Rheology and non-Newtonian fluid mechanics, Development of hybrid methods, Simulation of complex phenomena, Multiphase flows, Turbulence, Fluid-structure interactions, Computational implementations and parallel algorithms, Applications in reservoir engineering, oil and gas, biomechanics, and industrial processes. The mini-symposium will provide a unique platform for idea exchange, networking, and establishing future collaborations among academics and industry professionals interested in developing and applying these innovative methods.
Advances in Computational Geomechanics Modeling
Coordinators: Sergio A. B. da Fontoura, Nelson Inoue, Daniel Duque Melo, Eugênio da Silva
Advances in Computational Geomechanics Modeling
Geomaterials such as soils and rocks are complex porous granular materials exhibiting nonlinear, time-dependent, and often anisotropic mechanical behaviors. These materials are central to geomechanical, structural, and environmental engineering applications, where accurate prediction of their response under various loading and environmental conditions is essential. Computational modeling has become an indispensable tool in understanding and predicting the behavior of geomaterials across multiple scales and physics.
This mini-symposium aims to provide a platform for researchers and practitioners to present and discuss recent developments in computational geomechanics.
Topics of interest include, but are not limited to:
Development and calibration of constitutive models for soils and rocks;
Computational methods for coupled problems, including poromechanics, thermo-hydro-mechanical coupling, and other multi-physics phenomena;
Digital rock analysis (DRA) and digital pore-scale simulation.
Multiscale modeling techniques linking microstructure to continuum response;
Meshfree and particle-based methods for large deformations and discontinuities;
Modeling of fracture, damage, and failure processes;
Stochastic modeling, uncertainty quantification, and reliability analysis in geomechanics;
Integration of data-driven approaches and machine learning in model development and prediction.
This mini-symposium seeks to foster interdisciplinary discussions that span mechanics, materials science, computational methods, and data science.
Advances in Mechanical Modeling of Composite Materials and Metamaterials
Coordinators: Maria do Socorro Martins Sampaio, Fabio Carlos da Rocha, Leslie Darien Pérez-Fernández, Julián Bravo-Castillero, Aref Kalilo Lima Kzam, Romildo dos Santos Escarpini Filho, Jesús Daniel Villalba Morales
Advances in Mechanical Modeling of Composite Materials and Metamaterials
This Mini-Symposium aims to provide a forum for the dissemination and discussion of the latest advances in the physical-mechanical modeling of composite materials and metamaterials. Focus is on theoretical, numerical and experimental research with emphasis to a synthetic and accurate description of the overall constitutive behavior of such complex materials and also to innovative computational methods. The topics of the Mini-Symposium include, but are not limited to: Modeling and experimental testing of periodic materials and metamaterials; Identification of equivalent homogeneous solids via advanced homogenization techniques; Local and nonlocal constitutive modeling; Mechanics of damage, plasticity, strain localization phenomena and material instabilities; Multi-field problems; Sonic wave propagation control; Energy transfers; Parametric and topological optimization. Mechanical and acoustical vibration control, engineering applications; Analytical and numerical modeling of nanocomposites. A special invitation is given for research using machine learning and artificial intelligence.
Advances in Solid and Structural Mechanics
Coordinators: Ney Dumont, Paulo M. Pimenta, José Luis Drummond Alves, Philippe Devloo
Advances in Solid and Structural Mechanics
This mini-symposium welcomes contributions to solid and structural mechanics related to computational modeling, simulation, numerical methods, and applications. Contributions that do not fit the scope of other (more specific) mini-symposia, but are somehow related to solid and structural mechanics, are equally welcome.
Analysis and Design of Offshore Systems
Coordinators: Bruno da Fonseca Monteiro, Bruno Martins Jacovazzo, Juliana Souza Baioco, Mauro Henrique Alves de Lima Junior
Analysis and Design of Offshore Systems
This mini-symposium deals with the application of computational methods in the analysis and design of systems and structural components employed for oil & gas exploration and production as well as for renewable energy applications. Different types of systems and structures can be considered, including for instance fixed platforms, rigid or compliant; moored floating platforms; rigid and flexible risers; pipelines; subsea equipment; wave-wind energy structures; among others. The methods can be applied to the study of different aspects of the behavior of such systems, including structural and hydrodynamic analysis; oceanography, environmental loadings and fluid-structure interaction; geotechnics, foundation systems and soil-structure interaction; reliability, random and spectral analysis, signal processing, optimization, and other topics.
Boundary element and mesh-reduced methods
Coordinators: Ney Dumont, Francisco Célio de Araújo, Josué Labaki
Boundary element and mesh-reduced methods
Boundary Element experts are invited to present their most recent theoretical achievements and engineering-oriented applications. Contributions to meshless techniques and coupling with other numerical methods such as the Finite Element Method are also welcome.
Complementary Strategies for the Modelling of Heterogeneous Quasi-Brittle Media
Coordinators: ROQUE PITANGUEIRA, Lapo Gori, Leandro Lopes da Silva, Larissa Novelli
Complementary Strategies for the Modelling of Heterogeneous Quasi-Brittle Media
The modelling of quasi-brittle media, like concrete and geomaterials, needs to take into account complex phenomena occurring at different scales.
Current contributions to the topic try to answer one or more of the following questions:
(1) what type of continuum theory should be used, the classic theory or one of the micromorphic formulations?
(2) which is the best constitutive modelling approach, discrete cracking, elastic degradation or phase-field?
(3) what are the most appropriate numerical methods, the finite element method, mesh-reduced methods, isogeometric formulations, or a combination of different techniques?
(4) how to introduce the heterogeneity, in a direct geometric way or using an indirect statistical approach?
(5) how neural networks and more general artificial intelligence tools may contribute to the topic?
The goal of this minisymposium is to bring together experts working in the fields related with such issues, to discuss recent developments and applications, and to share research results.
Its aim is to create a collaborative environment for rapid progress in the methods relating to the raised questions.
Topics of interest for this mini-symposium include (but are not limited to) the following, as long as they concern quasi-brittle media:
• generalised continuum theories;
• damage, elastic degrading or phase-field constitutive models;
• recent advances in finite element and meshfree methods;
• adaptive strategies;
• coupling between numerical methods;
• modelling of heterogeneity;
• multi-scale techniques;
• machine learning based constitutive models;
• machine learning methods for heterogeneity;
• surrogate modelling via physics-informed machine learning;
Computational Fluid Dynamics in Environmental Engineering
Coordinators: Bruno Furieri, Cristina Lima de Morais, Enilene Regina Lovatte, Maria Clara Schuwartz Ferreira
Computational Fluid Dynamics in Environmental Engineering
The objective of this mini-symposium is to compile studies that promote discussions on best practices for using CFD as a technical and research tool in the field of Environmental Engineering. The main topics of interest include: natural flows (atmosphere and water bodies), pollutant dispersion, pollutant emission estimation, hydraulic reactors, control equipment, diffuse sources, traffic routes, and pollutant behavior in neighborhoods or indoor environments. Theoretical and numerical studies, as well as comparisons with field or laboratory experiments that address findings in the area of CFD in Environmental Engineering, are welcome. The main discussions should focus on numerical methods and turbulence models applied to solving the governing equations in the Finite Volume Method, aiming at obtaining velocity, concentration, or temperature fields.
Computational Geotechnics
Coordinators: Gracieli Dienstmann, Naloan Coutinho Sampa, Adrian Torrico Siacara, Andre Luis Meier
Computational Geotechnics
The objective of this mini-symposium is to provide a forum for presentation and discussion of research’s results in Computational Geomechanics and Geotechnics.
Authors are invited to submit original contributions addressing advancements in soil and rock mechanics, with a particular focus on novel computational methods, innovative formulations, and practical applications. Contributions related to reliability and risk analysis in geotechnical structures are also highly encouraged. The symposium seeks to foster collaboration and exchange of ideas among researchers and practitioners, promoting the development of robust and efficient computational tools for solving complex geotechnical challenges.
Computational Intelligence Techniques and its Applications
Coordinators: Heder Bernardino e Nelson Francisco Favilla Ebecken
Computational Intelligence Techniques and its Applications
Computational intelligence involves approaches with “intelligent” behavior for solving complex and challenging problems.This research area is important due to its wide applicability and has become even more popular with the rise of large language models (LLMs). This Mini-Symposium focuses on the theoretical and practical investigations of computational intelligence.We intend to provide a forum in which engineers, researchers, and students can exchange ideas on metaheuristics and machine learning, among other computational intelligence approaches.Research manuscripts in which- Genetic Algorithms- Differential Evolution- Particle Swarm Optimization- Genetic Programming- Shallow and Deep Neural Networks- Large language modelsare investigated in the solution of real-world problems in – engineering- finance- biology- computer vision- healthinvolving- single- and multi-objective optimization- constrained optimization- combinatorial optimization- optimization with integer, real, or mixed design-variables- supervised learning- nonsupervised learning- reinforcement learning- data modeling- knowledge discoveryare expected and they are not limited to these topics.
Computational Intelligence Techniques for Resolution Engineering Problems
Coordinators: Camila Martins Saporetti, Fernando Rodrigues Trindade Ferreira, Bruno da Silva Macêdo
Computational Intelligence Techniques for Resolution Engineering Problems
Computational intelligence (CI) techniques have revolutionized the way engineering problems are approached, offering innovative and efficient solutions across multiple domains. This mini-symposium aims to bring together researchers, students, and industry practitioners to discuss recent advances in CI methodologies and their applications in engineering problem-solving. Topics of interest include, but are not limited to, machine learning, metaheuristics, fuzzy logic, neural networks, and hybrid approaches applied to optimization and fault diagnosis. Through presentations will be provide a opportunite for knowledge exchange and collaboration, fostering new insights into the role of CI in addressing engineering challenges.
Computational Methods and Digital Transformation Applied to Oil & Gas Industry and Energy Integration
Coordinators: Joao Paulo Lima Santos,Eduardo Nobre Lages, Lucas Pereira de Gouveia, Pedro Esteves Aranha, Charlton Okama de Souza, Emilio Cesar Cavalcante Melo da Silva
Computational Methods and Digital Transformation Applied to Oil & Gas Industry and Energy Integration
The ongoing demand for energy drives the necessity for integration among different energy matrices. In the digital transformation era, computational methods have become indispensable tools for tackling complex problems, aiming to provide feasibility and compliance to the development of energy sector. This mini symposium proposes a platform for researchers and professionals to exchange insights and advancements in utilizing computational methods and digital transformation techniques applied to current major problems regarding upstream and downstream Oil and Gas industry, Carbon Capture, Usage and Storage (CCUS), and other related topics. We invite contributions related, but not limited to: numerical methods, artificial intelligence and data-driven models, uncertainty quantification, optimization techniques, and decision support systems.
Computational Methods Applied for the Analysis and Design of Reinforced and Prestressed Concrete Structures
Coordinators: Marcos Rorigues, Élcio Cassimiro Alves, Elisabeth Junges Laure, Acley Gabriel da Silva Tomaz, Anselmo Leal Carneiro
Computational Methods Applied for the Analysis and Design of Reinforced and Prestressed Concrete Structures
This mini-symposium deals with the application of computational methods in the analysis and design of reinforced and prestressed concrete structures. The methods may be related to software developments, theoretical procedures, design codes, numerical and experimental research concerning simulation, analysis, and design of concrete structures such as beams, columns, slabs, foundations, building, bridges, stadiums, industries, wind turbine towers, and so on. Topics of interest include software for analysis and design, material and geometric nonlinear behavior, static and dynamic analysis, seismic analysis, shear walls, precast concrete, foundations, soil-structure interaction, among others. Papers of all research areas related to new developments concerning the structural analysis and design of reinforced and prestressed concrete structures are welcome.
Computational Modeling of Flow in Porous Media
Coordinators: Maira C.O. Lima Santo, José Luis Drummond Alves, Paulo Couto, Alexandre Evsukoff, Rodrigo Surmas, André Luiz Martins Compan, Amir Raoof
Computational Modeling of Flow in Porous Media
The study of fluid flow in porous media is essential due to its wide range of applications, including hydrocarbon recovery, groundwater management, and carbon sequestration, among others. Computational modeling stands out as a powerful tool for analyzing and predicting multiphase flow behavior in complex porous structures. This work addresses key challenges such as heterogeneity, capillary effects, and phase interactions, while also exploring recent advances in pore-scale modeling. Additionally, high-performance computing approaches and the integration of machine learning are discussed to enhance the accuracy and efficiency of simulations. Computational models provide valuable insights for optimizing resource extraction, environmental remediation, and the development of energy storage solutions.
Therefore, this mini-symposium welcomes contributions in all subfields of computational modeling of flow in porous media, including all aspects of pore-scale modeling, with particular emphasis, but not restricted to:
- Novel algorithms and computational methods
- Validation of models against experiments
- New physical insights and theoretical analyses
- Upscaling pore-scale results into continuum-scale descriptions
- Digital reconstruction and characterization
- Microfluidics
- Evolution of coupled problems with multi-phase flow: reactive transport, dissolution, precipitation, deformation in a porous medium
- Porous media modeling regarding carbon storage CCS & CCUS applications
Computational Thermal Sciences
Coordinators: Thiago Antonini Alves, Augusto Salomão Bornschlegell
Computational Thermal Sciences
The aim of this mini-symposium is to summarize the progress in theoretical and computational research in the field of Thermal Sciences. Topics of interest include Thermodynamics, Fluid Mechanics, and Heat Transfer. The goal is to bring together researchers, students, and professionals in this field and related areas.
Data Processing and Analysis
Coordinators: Thiago Dias e Gray Farias Moita
Data Processing and Analysis
The purpose of this Mini-Symposium is to establish an environment for the presentation and discussion of papers that aim to analyse large data repositories. Topics of interest include contributions based on machine learning algorithms, data mining, computational intelligence and metrics based on network analysis. The Mini-Symposium is thought to bring together researchers, students and professionals from this field or related areas and to provide a forum for the dissemination of original research results, new ideas and practical experiments, which encompass both theory and practices.
Developments and applications of special enrichment methods and innovative discretization techniques – Meshfree, PoU Methods and GFEM/XFEM, Isogeometric Analysis
Coordinators: Diego Amadeu Torres, Felício Bruzzi Barros, Francisco Evangelista Júnior, Nathan Shauer, Paulo de Tarso R. Mendonça, Roberto Dalledone Machado
Developments and applications of special enrichment methods and innovative discretization techniques - Meshfree, PoU Methods and GFEM/XFEM, Isogeometric Analysis
This mini-symposium aims to discuss and exchange ideas on current developments, mathematical analysis, and application of special methods that offer flexibility in the construction of approximation functions through the Partition of Unity (PoU) concept, such as the hp-clouds, the Generalized/eXtended finite elements (GFEM/XFEM), and the PoU finite elements. While contributions to all aspects of such methods are invited, some of the topics to be featured are the identification and characterizations of problems in which these special methods have a clear advantage over classical approaches; applications, including but not limited to, multi-scale, multi-physics, non-linear and time-dependent problems, simulation of failure and fracture in materials and structures; advances in a-priori and a-posteriori error analyses; stability analysis; computational implementation aspects such as numerical integration, imposition of boundary conditions, solution of the system of equations arising from this class of methods, and adaptive mesh refinement/enrichment algorithms. Additionally, contributions on innovative discretization techniques, whether mesh-based methodologies such as isogeometric analysis, smoothed finite elements, virtual element method, among others, or meshfree methods, or even coupling between some of them, would be welcome to favor interaction among different standpoints, allowing to compare the methods and to enlighten similarities and differences, encouraging novel developments to solve engineering and physical sciences problems.
Developments and applications of wind energy and renewable energy
Coordinators: Gino Bertollucci Colherinhas, Andreia Aoyagui Nascimento, Suzana Moreira Avila, Marcus Vinicius Girão de Morais, Felipe Pamplona Mariano
Developments and applications of wind energy and renewable energy
Energy transition is one of the great challenges of the 21st century to mitigate the nefast effects of climate change. Renewable energy sources have a large potential to displace emissions of greenhouse gases from the combustion of fossil fuels and thereby to mitigate climate change. As a result, renewable energy is one of the most important research themes nowadays. The aim of this mini-symposium is to bring together researchers in computational mechanics, computer science, engineering and applied mathematics, and practitioners in wind energy systems, to provide an overview of advancements in theoretical, analytical, computational, and experimental research within the realm of wind energy and other renewable energy sources. Special attention is dedicated to introducing innovative concepts and methodologies pertaining to the computational modeling, structural analysis, soil-structure interaction, and design of wind energy systems and other renewable energy infrastructures. Topics of interest encompass a wide range of subjects such as wind turbine dynamics, modal analysis, aerodynamic analysis and optimization, fatigue assessment, vibration and noise mitigation, composite materials, offshore wind plants, grid integration, energy storage solutions, wind power potential estimate, and environmental impact assessment. Therefore, contributions across several research domains related to theoretical, analytical, numerical, and experimental aspects concerning the computational modeling, analysis, and design of wind energy and renewable energy systems, for instance, solar energy, hydrokinetic energy, hydroelectric energy, geothermal energy, ocean energy, biomass energy, renewable hydrogen are encouraged.
Educational Software – A symposium in honor of Prof. Martha
Coordinators: Andre Pereira, Marcos Antonio Campos Rodrigues, Rodrigo Bird Burgos, Rafael Lopez Rangel
Educational Software - A symposium in honor of Prof. Martha
This mini-symposium celebrates the birthday of Professor Dr. Luiz Fernando Martha, widely known for the Ftool software. Contributions from all subfields of computational mechanics related to the development and use of educational software for computational modeling, simulation, numerical methods, and applications are welcome. Demonstrations of the use of Prof. Martha’s software in teaching and research are especially encouraged.
Emerging Frontiers in Nonlinear Dynamics, Machine Learning, and Control Systems
Coordinators: Americo Cunha Jr, Marcus Vinicius Monteiro Varanis, Malu Grave, Clivaldo de Oliveira, Ângelo Marcelo Tusset, José Manoel Balthazar
Emerging Frontiers in Nonlinear Dynamics, Machine Learning, and Control Systems
This Mini-Symposium aims to create a cutting-edge multidisciplinary forum focused on recent advances and emerging frontiers in nonlinear analysis, nonlinear control, and data-driven modeling of dynamical systems across scales—from macro to micro and MEMS devices. The scope encompasses the interplay between complex nonlinear dynamics and modern data-driven strategies, such as Machine Learning, Artificial Intelligence, and Physics-Informed Neural Networks (PINNs), which are transforming the way nonlinear systems are modeled, simulated, controlled, and optimized. The Mini-Symposium will also serve as a platform to discuss theoretical, computational, and experimental advances in nonlinear system identification, model reduction, sensitivity analysis, control strategies, and the integration of novel materials and structural concepts, including metamaterials and energy harvesters. Particular emphasis will be placed on AI/ML-enhanced methods, including hybrid modeling approaches that combine physics-based models and data-driven techniques to tackle long-standing challenges in nonlinear vibrations and structural dynamics.Key Topics Include (but are not limited to):
Dynamic stability, chaos, and random post-critical behavior of nonlinear systems;
Nonlinear vibrations of solids and structures under complex loading, including moving and time-dependent loads;
AI and ML algorithms for nonlinear system identification, control, and predictive modeling;
Physics-informed neural networks (PINNs) and hybrid modeling frameworks in nonlinear dynamics;
Nonlinear phenomena in macro-, micro-, and nano-scale systems, including MEMS and NEMS;
Vibration-based energy harvesting in nonlinear systems;
Nonlinear dynamics and control of mechanical metamaterials and smart structures;
Time-frequency methods and wavelet analysis in nonlinear dynamics;
Nonlinear system diagnostics, health monitoring, and prognostics;
Emerging applications of AI/ML in experimental nonlinear dynamics and control;
Data-driven strategies for rare event prediction, uncertainty quantification, and sensitivity analysis.
This Mini-Symposium provides a dynamic environment for researchers, engineers, and practitioners to share breakthroughs, discuss open problems, and forge collaborations at the intersection of nonlinear dynamics, control, and artificial intelligence.
Engineering Design Optimization
Coordinators: Silvana Bastos, Bernardo Horowitz, Evandro Parente, Afonso Lemonge
Engineering Design Optimization
The advances in computational and numerical capabilities allow more efficient Engineering design through the use of optimization methods. Thus, new realistic and challenging optimization applications in practical Engineering have been tackled. Among them we have the design of sophisticated engineering systems. This mini-symposium is dedicated to the discussion of recent developments and applications of optimization techniques, mathematical programming algorithms, sensitivity analysis, metaheuristic methods, parameter identification, optimization under uncertainties, optimization coupled with reliability analysis, and surrogate modeling in the field of Engineering design and related areas. The goal is to bring together researchers, students and professionals working in those areas. Papers related to practical applications of optimization methods as well as software development are encouraged to be submitted in this mini-symposium.
MS coordinators:
Bernardo Horowitz bernardo.horowitz@ufpe.br
Silvana M B Afonso silvana.bastos@ufpe.br
Evandro Parente evandro@ufc.br
Afonso Lemonge afonso.lemonge@ufjf.br
Health Monitoring and Numerical Modeling of Structures
Coordinators: Gustavo Henrique Siqueira, Leandro Mouta Trautwein, Luiz Carlos de Almeida, Hugo Luiz Oliveira, Diogo Rodrigo Ribeiro
Health Monitoring and Numerical Modeling of Structures
This mini-symposium proposes the assessment of structural behavior using the monitoring data with the adjustment of numerical models to evaluate the structural safety and to identify significant structural parameters. Relevant topics include new experimental techniques for health monitoring, modal identification, model updating, damage identification, statistical methods, stochastic simulation techniques, feature extraction and data fusion, damage prognosis, prediction of remaining service life, and structural reliability updating using measurements.
Innovative Computational Methods for Planning Logistics and Transportation Systems
Coordinators: Rodrigo Rosa e João Henrique Brunow Barbosa
Innovative Computational Methods for Planning Logistics and Transportation Systems
We consider innovative computational methods the ones listed below, as well as other methods not listed.
1. Operational Research
• Linear Programming & Integer Programming (LP/IP)–Optimizes transportation cost, fleet allocation and logistics network design.
• Dynamic Programming (DP)–Solves sequential decision-making problems as vehicle dispatching.
• Stochastic Optimization–Accounts for uncertainty in demand, travel time, and disruptions.
• Game Theory Models–Analyzes competition and cooperation in logistics.
2. Artificial Intelligence
• Supervised Learning (Regression, Neural Networks, Decision Trees)–Forecasts demand, delays, and fuel consumption.
• Unsupervised Learning (Clustering, K-Means, DBSCAN)–Optimizes warehouse locations and customer segmentation.
• Reinforcement Learning (RL)–Enhances real-time decision-making in autonomous logistics and fleet management.
• Deep Learning (DL)–Used for traffic flow prediction and intelligent transport systems (ITS).
3. Simulation
• Agent-Based Modeling (ABM)–Simulates individual actors (drivers, customers, warehouses) in supply chains.
• System Dynamics (SD)–Analyzes long-term behavior of supply chains and urban mobility.
• Digital Twin Technology–Creates real-time virtual models of logistics systems for optimization.
4. Metaheuristics
• Genetic Algorithms (GA)–Optimizes vehicle routing, network design, and resource allocation.
• Simulated Annealing (SA)–Finds near-optimal solutions for large-scale transport problems.
• Particle Swarm Optimization (PSO)–Applied in traffic flow control and multimodal transport.
5. Hybrid/Math-Heuristic
• Mathheuristics–Applied in large-scale logistics optimization.
• Neural Combinatorial Optimization–Uses deep learning for solving vehicle routing and scheduling.
• Bilevel Optimization–Models hierarchical logistics decisions (e.g., strategic vs. operational).
• Evolutionary Multi-Objective Optimization (EMO)–Balances cost, time, and sustainability in transport planning.
6. Advanced Computational
• Quantum Computing for Optimization–Addresses NP-hard logistics problems like route optimization.
• Blockchain for Logistics Optimization–Improves transparency and efficiency in supply chain planning.
• Edge Computing & IoT for Smart Logistics–Enables real-time decision-making in transportation networks.
• Swarm Intelligence–Mimics decentralized decision-making (e.g., in autonomous vehicle coordination).
• Graph Neural Networks (GNNs)–Optimizes complex transport networks and logistics flows.
Integrating BIM and Artificial Intelligence for structural design and lifecycle management
Coordinators: Cristiano Saad Travassos do Carmo, Elisa Dominguez Sotelino , Matheus Lopes Peres
Integrating BIM and Artificial Intelligence for structural design and lifecycle management
Building Information Modeling (BIM) has revolutionized structural engineering by enabling digital representation and collaborative workflows throughout a structure’s lifecycle. Simultaneously, Artificial Intelligence (AI) has introduced powerful data-driven methodologies that enhance decision-making, optimize structural performance, and improve predictive maintenance strategies. The convergence of these technologies offers opportunities to enhance structural design, automate compliance verification, and address durability challenges. Despite promising developments, critical gaps remain in integrating AI with BIM environments for real-time analytics, automated structural optimization, and intelligent risk assessment. Challenges such as data interoperability, uncertainty in AI-driven predictions, and the adaptation of machine learning models to structural engineering constraints require further exploration. This mini-symposium brings together experts and researchers to discuss innovative applications of AI within BIM-based structural projects. Topics of interest include AI-driven generative design, predictive maintenance using digital twins, automated code compliance checking, and deep learning techniques for structural anomaly detection. Case studies showcasing AI-enhanced BIM workflows in infrastructure, high-rise buildings, and industrial facilities will provide practical insights into real-world implementations.
Interoperability Issues in Building Information Modelling (BIM) Tools for Structural Engineering
Coordinators: José Guilherme Santos da Silva , Glauco José de Oliveira Rodrigues, Cristiano Saad Travassos do Carmo
Interoperability Issues in Building Information Modelling (BIM) Tools for Structural Engineering
Interoperability remains a fundamental challenge in the widespread adoption of Building Information Modelling (BIM) for structural engineering. Despite significant advancements in digital modelling and collaborative workflows, the seamless exchange of data between different BIM platforms, structural analysis tools, and project stakeholders is often hindered by inconsistencies in file formats, data loss during conversions, and limitations in standardization protocols such as Industry Foundation Classes (IFC). These issues can lead to inefficiencies, misinterpretations, and increased costs in structural design, analysis, and construction. Addressing interoperability concerns is crucial to unlocking the full potential of Building Information Modeling (BIM) for structural engineering, enabling better coordination between architects, engineers, and contractors while ensuring data integrity across the project lifecycle. This way, this mini-symposium aims to bring together experts to discuss innovative strategies, tools, and frameworks that enhance the interoperability of BIM-based structural workflows. Topics of interest include advances in openBIM standards, automated data translation techniques, integration of structural analysis and design software within BIM environments, and the role of artificial intelligence in resolving data inconsistencies. Case studies demonstrating successful interoperability solutions associated to bridges, buildings, and large-scale infrastructure projects will highlight best practices and emerging technologies. The discussion will emphasize multidisciplinary collaboration among structural engineers and software developers to promote more reliable and efficient BIM interoperability.
Modeling and Simulation of Dynamics, Stability, Control, and Reliability of Aerospace Structures
Coordinators: MARCELO ARAUJO DA SILVA, Reyolando M.L.R.F. Brasil, André Fenili, José Manoel Balthazar
Modeling and Simulation of Dynamics, Stability, Control, and Reliability of Aerospace Structures
This mini-symposium aims to foster discussions on the modeling, simulation, dynamics, stability, control, and reliability of aerospace structures, including but not limited to aircraft, drones, helicopters, rockets, and satellites. The session will explore a wide range of numerical, computational, theoretical, and experimental approaches for addressing challenges in these domains.
We welcome contributions on:
Mathematical modeling and numerical methods for aerospace dynamics and stability.
Control strategies for ensuring structural integrity and operational efficiency.
Experimental studies validating theoretical and computational models.
Reliability analysis of aerospace structures to enhance safety and performance.
This session provides a platform for researchers, engineers, and industry professionals to exchange insights, share the latest advancements, and explore innovative solutions for the aerospace sector.
Nonlinear Analysis, Stability and Structural Dynamics
Coordinators: Zenon Jose Guzman del Prado, Paulo B. Gonçalves, Frederico Martins Alves da Silva, Renata Machado Soares
Nonlinear Analysis, Stability and Structural Dynamics
The aim of this mini-symposium is to gather specialists of different areas working on instability phenomena in materials and structures, structural dynamics and nonlinear phenomena in engineering applications. Topics of interest include, but are not limited to, static and dynamic stability of bars, plates and shells, including elastic and non-elastic instability phenomena, stability design of steel and concrete structures, non-linear local and global bifurcations, linear and nonlinear structural dynamics, vibration control, soil-structure and fluid-structure interaction and chaos and fractals. Papers are solicited in all areas related to theoretical, computational and experimental aspects of the problem.
Numerical Methods Applied in the Architectural Conception and Structural Design of Construction
Coordinators: Leonardo da Silveira Pirillo Inojosa, Márcio Augusto Roma Buzar, João da Costa Pantoja, Humberto Salazar Amorim Varum
Numerical Methods Applied in the Architectural Conception and Structural Design of Construction
Established engineering works and projects show us that architecture and structure projects must be conceived and developed together. Despite this, we normally see a distance relation between these two elements of civil construction. This mini-symposium aims to bring together the two fields of knowledge and show that the design of the structural system plays an essential role in determining architectural design. Projects that explore the relationship between architecture and structure and the direct relationship between form and structure, where the definition of the structural system has an effective role since the design of the projects provides works marked by structural boldness and major technological challenges and advances. The mini-symposium aims to gather contributions and obtain data that, through analyses that use computational technologies and numerical methods, allow us to understand how structural design allied to architectural creation provides innovative aesthetic results. Through these studies, it is possible to emphasize the importance of technical knowledge for the realization of projects of good quality, evidencing the presence of the structural system in the architectural form. These analyses contribute to understanding the importance of technical and technological knowledge for producing innovative architecture.
Numerical modeling of CCS/CCUS applications
Coordinators: Marcello Congro, Marcelo De Simone, Deane Roehl
Numerical modeling of CCS/CCUS applications
This mini-symposium aims to bring together researchers and professionals to discuss recent advances in computational modeling and simulation applied to Carbon Capture and Storage (CCS) and Carbon Capture, Utilization, and Storage (CCUS) technologies. The session will cover a broad range of topics, including multiphysics and geomechanical modeling, monitoring and prediction of caprock integrity, and numerical simulation of CO2, brine, and cementitious material interactions in wellbore systems. Contributions are encouraged in areas such as:- Numerical models from pore scale to reservoir scale for fluid-solid interactions in subsurface environments;- Strategies for long-term monitoring of CO2 storage sites;- Development or application of data-driven approaches and machine learning models for improved CCUS predictions;- Uncertainty quantification techniques to enhance the reliability of computational models;- Innovative methods for assessing barrier integrity, zonal isolation, and CO2 plume migration;- Analysis of wellbore integrity under thermal, chemical, and mechanical loads in CCS/CCUS environments;- Modeling of cement degradation and its impact on leakage risks and mechanical stability;- Advanced techniques for damage detection in casing and tubing, including corrosion forecasting and crack propagation models;- Integration of experimental insights, advanced numerical models, and data-driven techniques for comprehensive CCS/CCUS analysis.
Numerical modeling of concrete structures
Coordinators: Eduardo de Moraes Rego Fairbairn, Jean-Marie Désir, Pierre Rossi, Rodolfo Giacomim Mendes de Andrade
Numerical modeling of concrete structures
Held since 2004 in Recife, this symposium is one of the most traditional at CILAMCE. The general topics covered by the symposium are: Numerical modeling of concrete materials and structures including buildings, bridges, nuclear power plants, hydropower plants, wind generation, foundations and special structures such as the cement sheath of oil wells, refractory concretes. The models may include the several scales, from the material nano scale to the structural macroscopic scale and encompass the thermal, chemical, and mechanical phenomena. The symposium comprises different types of cementitious materials such as bioconcretes, engineered cementitious composites (ECC), natural fiber reinforced concretes, ultra-high-performance fiber reinforced concretes, etc. Numerical analysis of phenomena that affect the durability of concrete like alkali-silica reaction and delayed ettringite formation, are also welcome in the symposium.
Numerical Modelling and Simulation on Fire Safety Engineering
Coordinators: Alexandre Landesmann e Dalilah Pires Maximiano
Numerical Modelling and Simulation on Fire Safety Engineering
This mini-symposium aims to highlight the use of both simple and advanced analysis methods in the numerical simulation of the behaviour of materials, structures, and environments exposed to fire. Submissions that address pertinent topics related to fire modelling are welcome, including but not limited to:
1) Numerical modelling of structures at high temperatures;
2) Research studies on the relationship between experimental results, (codified) calculation methods and FE simulations;
3) Simulation of heat transfer between the fire and structures;
4) Implementation and application of fire CFD models;
5) Modelling of evolution and spread of fire and smoke;
6) Simulation of evacuation and analysis of dynamics/circulation of pedestrians in fire conditions;
7) Wildland fire behaviour modelling and spread;
8) Wildland fire susceptibility, hazard, vulnerability and risk modelling.
9) Application of AI techniques for predictive fire spread modelling.
10) Use of machine learning for optimization and analysis of fire safety strategies.
Particle-based methods: advances and applications in DEM, PFEM, SPH, MPM, MPS and others
Coordinators: EDUARDO M. B. CAMPELLO, Liang-Yee Cheng, Alfredo Gay Neto
Particle-based methods: advances and applications in DEM, PFEM, SPH, MPM, MPS and others
This mini-symposium addresses both theoretical and practical aspects of particle-based computational methods that can be effectively used for solving a variety of problems in solid mechanics, fluid mechanics, fluid-structure interaction, heat transfer, and many others. Contributions dealing with the discrete element method (DEM), the particle finite element method (PFEM), the smoothed particle hydrodynamics method (SPH), the material point method (MPM), the moving particle semi-implicit method (MPS), and others, are welcome. Likewise, the coupling of these methods with other established numerical procedures, such as the finite element method, the finite difference method and meshless techniques, is considered.
Research Beginners
Coordinators: Élcio Cassimiro Alves, João Victor Fragoso Dias, Eduardo Toledo Lima Junior, André Jacomel Torii, Aline Ramos Barboza
Research Beginners
This symposium aims to provide a welcoming and stimulating environment for undergraduate students taking their first steps into the world of research. Open to works from all areas related to computational methods in engineering, the symposium encourages submissions where the main author is currently enrolled in an undergraduate program or has graduated in 2024, provided the work was developed during their undergraduate studies. The supervisor of the work may be included as a co-author. All accepted contributions will be presented in poster format, allowing for dynamic discussions and valuable feedback. To recognize excellence and encourage young researchers, the Augustin Ferrante Award will be granted to the best work presented.
Scientific Machine Learning and Applications
Coordinators: Adriano Cortes, Alvaro Coutinho, Fernando Rochinha
Scientific Machine Learning and Applications
Machine Learning (ML) is fundamentally changing several industries and businesses in many ways, for example in the Oil and Gas (O&G) industry, in Health Care, Social Media, IoT, etc. Computational Science and Engineering (CSE) is part of this ongoing digital transformation. As more and more data becomes available the blending of Data Science with CSE is inevitable, also because of their common grounds in Mathematics, Statistics, and Computer Science. Since it has its own challenges, this new scientific endeavor gained its own denomination: Scientific Machine Learning (SciML). Data-driven models are still an option, but sometimes they fail since the requirements of physical laws are needed to constraint the predictive model. Methodologies for building Surrogate Models, like Model Order Reduction, for example, gained new flavors. Another area with considerable momentum in the past few years and with great synergy with SciML is Uncertainty Quantification (UQ). This mini-symposium intends to gather researchers and professionals involved in the application and advancement of SciML. We welcome works ranging from numerical analysis, industrial applications, engineering, biology, and IoT. We expect a wide range of presentations from fundamentals to advanced applications.
Structural condition assessment through artificial intelligence-based methods
Coordinators: José Guilherme Porto Oliveira e Elisa Dominguez Sotelino
Structural condition assessment through artificial intelligence-based methods
Structural condition assessment is a critical challenge in ensuring the safety and longevity of engineering structures. Traditional inspection methods often demand significant manual effort and rely on subjective evaluations. Recent advances in artificial intelligence (AI), particularly in image pattern recognition and data-driven analytics, offer transformative potential for automating damage detection, quantifying degradation, and predicting structural behavior. Although machine learning (ML) and computer vision have shown promise in pilot studies, their integration into engineering practice remains fragmented, leaving critical research and implementation gaps unaddressed. Moreover, the validation of AI models against physical mechanisms and their scalability for real-world applications have been scarcely investigated.
This mini-symposium convenes experts and researchers to explore advanced data-driven approaches for modernizing structural inspection and condition assessment. It will focus on innovative artificial intelligence-based methods, that enhance the detection and diagnosis of structural defects, offering viable alternatives to traditional practices. Case studies spanning diverse engineering assets, including bridges, buildings, and industrial facilities, will highlight successful applications of AI in detecting corrosion, cracks, deformations, and material deterioration. Emphasis will be placed on interdisciplinary collaboration, drawing insights from both civil engineering and computer science.
Structural Reliability Methods and Design Optimization Under Uncertainties
Coordinators: Andre Beck, Henrique Machado Kroetz, Rafael Holdorf Lopes, Wellison J. S. Gomes, André Jacomel Torii, Leandro F. Fadel Miguel
Structural Reliability Methods and Design Optimization Under Uncertainties
Structural design should be robust with respect to uncertainties inherently present in resistance of structural materials, environmental and man-imposed loads, boundary conditions, physical, mathematical and numerical models, and generally to different types of intrinsic and epistemic uncertainties. Structural performance and reliability should be robust against unexpected fluctuations or changes in problem parameters. Proper decision making in presence of uncertainties is fundamental to avoid severe or fatal consequences and/or costly posteriori changes over the built structure. These issues have led to the recent development of structural reliability methods and reliability-based optimization. This minisymposium aims at bringing together researchers, academics and practicing engineers concerned with the various forms of structural reliability analysis and structural optimization in presence of uncertainties. Contributions ddressing both theoretical developments and practical applications, in the following topics, are invited:1. Structural reliability methods (FORM, SORM, Monte Carlo Simulation);2. Applications of structural reliability to challenging engineering problems;3. Robust structural optimization;4. Performance-based optimization;5. Reliability-based structural optimization;6. Risk management and optimization;7. Modeling of extreme or rare events;8. Decision-making in presence of uncertainties;9. Modeling of uncertainty with probability theory, Bayesian theory, imprecise probabilities including evidence theory, interval models, fuzzy set theory, information gap theory, etc.10. Structural health monitoring, system identification and damage detection.11. Development and application of surrogate models for uncertainty quantification and structural optimization.
Topology Optimization of Multifunctional Materials, Fluids and Structures
Coordinators: Anderson Pereira, Emílio Carlos Nelli Silva, Daniel De Leon, Ivan Fábio Mota de Menezes, Glaucio H. Paulino
Topology Optimization of Multifunctional Materials, Fluids and Structures
This mini-symposium aims to bring together researchers working on various aspects of topology optimization applied to solids, fluids and structures as well as inverse problems, image processing and mechanical modeling, including damage and fracture evolution phenomena. In particular, we are interested in recent advances in topology optimization. Suggested topics include, but are not limited to:
• Recent advances in topology optimization applied to multi-physics problems;
• Multiscale topology optimization;
• Inclusion of microstructure in topology predictions;
• New methods to handle manufacturing, stress and other constraints;
• Novel and efficient topology optimization algorithms;
• Exact solutions to topology optimization problems;
• New methods to solve multi-objective topology optimization problems;
• Efficient solution of industrial large-scale topology optimization problems;
• Exploiting high-performance computing in topology optimization;
• Topology optimization using ground structure approach;
• New methods of adaptive mesh refinement in topology optimization;
• Topology optimization applied to fluid and thermal problems;
• Novel and robust inverse reconstruction algorithms;
• New methods applied to the minimal partition problem in image processing;
• Alternative algorithms for damage and fracture mechanics modeling.
Vibration Control
Coordinators: Suzana Moreira Avila e Marcus Vinicius Girão de Morais
Vibration Control
Dynamical systems are those whose state changes over time, an example is a pendulum oscillation. Such systems can be found in many science areas and its evolution law is described mathematically through differential equations. The control theory is an interdisciplinary theme originating in engineering and mathematics that aims to influence the behavior of dynamic systems. Mechanical vibrations are examples of dynamical systems. They are caused by time-varying excitations that are submitted components, set of components or complete structures. Excessive vibrations in these systems are not desirable as it may compromise the performance and also cause its collapse. In this context, the vibration control is a technology which aims to reduce excessive vibration levels through the installation of external devices or the action of external forces which promote changes in the stiffness and damping system. The main objective of this mini-symposium is to bring together experts working in vibration control and its application to present and discuss the latest developments in the field.