Design, model and characterization of additively manufactured materials

In recent years, additive manufacturing (AM) has transformed the way materials are designed and produced, enabling unprecedented levels of customization and complexity across various industries, including aerospace, biomedical, construction, automotive, and energy sectors. This Mini-Symposium aims at presenting the cutting-edge developments in the field of design, model and characterization of AM materials. In this respect, topics of interest include but are not limited to:

• Additive manufacturing process modeling
• Topology optimization and generative design methods for AM materials
• Multi-material and functionally graded material design strategies
• Design for manufacturability and performance in AM
• Multi-scale modeling of AM composite materials
• Modeling of advanced AM materials: metamaterials, soft materials, and bio-inspired materials
• Computational models for strength analysis of AM materials
• Computational approaches for optimizing AM process parameters
• Integration of machine learning and artificial intelligence in AM process modeling
• Experimental methods for characterization of AM materials
• Non-destructive evaluation techniques of AM materials
• Microstructural and defect analysis in AM materials

This mini-symposium aims to gather the latest advancements in the field of Biomechanics, with a particular focus on the integration of modeling strategies, computational methods, chemo-mechano-biological processes, and the physio-pathological responses of biological systems.

The event encourages a dynamic exchange among experts from complementary disciplines, aiming to highlight the advantages, challenges, potential applications, and limitations of cutting-edge methodologies in Biomechanics. Special emphasis will be placed on interdisciplinary approaches that bridge mechanics with biology and medicine. Contributions involving innovative numerical techniques, data-driven modeling, and connections to experimental evidence and methodologies are highly encouraged.

Specifically, the mini-symposium welcomes, but is not limited to, contributions in the following areas:

• All aspects of Biomechanics and Mechanobiology, including applications to cardiovascular, musculoskeletal, dental, respiratory, and gastrointestinal systems, as well as biological structures at all scales, from cells to tissues and organs.
• Methodological approaches related to theoretical, computational, and experimental structural mechanics; theoretical, computational, and experimental fluid dynamics in physiological flows; fluid-structure interaction problems; multiphysics and multiscale coupling.
• The conception, design, and analysis of predictive tools and medical devices for diagnostics and clinical treatments. 

Key words: Brittle and cohesive fracture, Damage Mechanics, Fracture, Numerical approaches

Modelling damaging and fracture processes in materials and structures is still a major challenge due to the complex nonlinear mechanisms involved. Strain-softening response, loss of ellipticity of the governing equations, and localization phenomena render the objective solution of the mechanical problem an arduous task. Although many traditional and enhanced formulations, both analytical and numerical have been proposed, a huge attention is still devoted by researchers to these topics to develop efficient procedures aiming at accurately describing onset and progression of damaging paths in materials.

This minisymposium is dedicated to discussing recent advances in theoretical formulations and computational methodologies for the simulation of damage and fracture processes. We welcome contributions on topics including (but not limited to):

• damage model formulations for brittle and quasi brittle materials;
• nonlocal, gradient and higher-order damage formulations;
• phase-field approaches for damage and fracture;
• enhanced finite element methods;
• virtual element methods;
• eigenerosion and eigenfracture techniques;
• advanced cohesive zone elements;
• meshfree methods;
• peridynamics.

The creation of reduced order models, supported by machine learning,  is the current trend for the quick estimate of solutions to large scale problems and therefore, the support of applicable digital twins. The methodology appears in may industrial software packages. Research continues in various directions, which combine tools from computational mechanics and artificial intelligence. Contributions in this area, including novel applications, are invited.

Fluid-structure interaction (FSI) phenomena are pivotal in a wide range of scientific and engineering fields, where the coupling between fluid dynamics and structural mechanics dictates performance, safety, and efficiency. This minisymposium seeks to gather researchers and practitioners focused on the modeling, simulation, and analysis of FSI, encompassing a broad range of applications and methodologies to foster interdisciplinary exchange.

We invite contributions that explore the development of innovative models, advanced numerical techniques, and cutting-edge applications. Special attention will be given to high-fidelity simulation methods for complex geometries, reduced-order models, and data-driven approaches incorporating machine learning to improve predictive accuracy.

Practical applications of FSI are highly encouraged, with particular reference to Aerospace Engineering, Wind Engineering, Civil Engineering, Marine Engineering, and Biomedical Engineering.
 

Multiphysics interactions play a critical role in numerous fields of both theoretical and practical importance. Recent advances in modeling strategies, numerical approaches, and experimental techniques have made this an incredibly dynamic and innovative area of research. This workshop will showcase cutting-edge developments in multiphysics problems, where experts will present novel modeling approaches, computational methods, and experimental findings. The aim is to promote interdisciplinary discussions and inspire new solutions to complex engineering challenges. We welcome contributions addressing strategies and methods for modeling multiphysics phenomena, including topics such as fluid-structure interactions, multiphase flow, lattice Boltzmann methods, magneto-electro-mechanical systems, biomedical and biological applications, geotechnical engineering, seismic soil-structure interaction, as well as mechanical, acoustic, and optical metamaterials.

Additionally, we encourage submissions that explore methodological advancements that allow for exploitation of high-performance computing (HPC) techniques and AI/ML-driven methodologies to address the inherent complexities of multiphysics simulations, such as nonlinearities or coupling across scales.

The mini-symposium provides a platform for researchers to present and discuss recent advances in the linear and nonlinear dynamic behavior of complex systems, with particular focus on solids, fluids and structures. The scope includes the analytical, computational, and experimental investigation of linear and nonlinear dynamic phenomena in solids, fluids, and their interactions. Emphasis will be placed on innovative approaches in modeling and simulation. Topics of interest cover a wide range of applications, including wave propagation, vibration analysis, fluid-structure interaction, stability and bifurcation, dynamic fracture, and the response of materials and structures under dynamic loading, including seismic excitation. By fostering interdisciplinary collaboration, the mini-symposium aims to address fundamental challenges and promote innovative solutions in understanding and predicting the dynamic behavior of physical systems across engineering, physics, and applied sciences.

Complex multiscale flows are characterized by the interplay of physical phenomena occurring across a wide range of spatial and temporal scales, from molecular-level interactions to macroscopic dynamics. These flows are critical in various natural and engineered systems, such as turbulent atmospheric patterns, porous media transport, multiphase reactors, and biological systems like blood flow. Capturing the behavior of multiscale flows requires advanced mathematical models and computational techniques that can bridge these scales effectively. Challenges include accurately representing fine-scale processes without sacrificing computational efficiency and ensuring seamless coupling between different scales. Innovations in multiscale modeling, machine learning integration, and high-performance computing are paving the way for deeper insights and improved predictive capabilities in this complex field.

This mini-symposium serves as a platform to explore all aspects of complex fluid flows at different scales, with a focus on mathematical and numerical modelling and analysis, the derivation of effective rheological laws, and the development of innovative numerical and optimization methods. Topics will include challenges in modelling non-Newtonian fluids, such as shear-thinning and viscoelastic behaviour. In the context of simulation, emphasis will be placed on novel discretization techniques, interface capturing and tracking methods, coupled problems, stabilization schemes, and approaches for managing free-surface and deforming domain problems. Furthermore, the symposium will discuss reduced-order models, including those exploiting machine learning algorithms, and methods for shape optimization, such as geometry representation and objective function design.

By bridging the gap between theoretical foundations, computational advancements, and practical applications, this symposium seeks to deepen our understanding of complex flows and drive innovation in tackling a broad range of real-world engineering challenges. These include optimizing manufacturing processes such as additive manufacturing and chemical processing, mitigating environmental hazards like pollutant dispersion and oil spills, analyzing the evolution and impact of natural disasters and improving the design and operation of advanced fluid systems in sectors such as aerospace, energy, and biotechnology. The symposium aims to promote interdisciplinary collaboration, highlight cutting-edge research, and provide a platform for exchanging ideas that can lead to transformative solutions in both established and emerging fields.

Simulating the mechanical response of materials with complex behaviour is a major research topic for both industry and academia. On one hand, there is significant interest in new engineered materials, designed to provide a controlled response to various inputs. On the other hand, the simulation of more traditional materials characterised by a strongly nonlinear behaviour needs further exploration to enhance robustness and accuracy. In all cases, it is crucial to develop numerical methods, structural models and discretisation techniques that allow for comprehensive simulations that are accurate, efficient and reliable.

Based on these premises, this symposium aims to gather scientific contributions related to plasticity, viscoplasticity and poromechanics. Key topics of discussion include, but are not limited, to:

• Nonlinear behaviour of 3D/4D printed materials
• Direct methods for limit states of materials and structures
• Enhanced structural models for structures undergoing material nonlinearities and large deformations
• Discretization methods as strong formulations (i.e., collocation and differential quadrature method, inverse differential quadrature method), weak formulations (i.e., finite element method, boundary element method, isogeometric analysis, VEM formulations)
• Fatigue and fracture simulations
• Reduced order models
• Damage mechanics
• Material instability
• Multiscale and Multiphysics simulations
• Optimisation methods considering nonlinear material behaviour
• Porous media loading and failure
• Soil plasticity

Large deformations, instabilities, and strong anisotropy are examples of extreme responses in material and structures. Traditionally thought to lead to failure or loss of functionality, these have been exploited to design a new generation of reconfigurable, harvesting and actuation devices that exhibit superior mechanical performance and have application in modern engineering fields. Our mini-symposium aims to gather experts from the broad field of extreme mechanics of solids and structures. The following non-exhaustive list provides examples of topics relevant to the mini-symposium:

• Extremely deformable solids and structures
• Reconfigurable and deployable structures
• Ιnstabilities in solids and structures
• Soft and active matter mechanics
• Microarchitected materials and structures
• Variable domain mechanical systems
• Extreme and reversed properties
• Higher-order mechanical models
• Probabilistic modeling of rare events
• Analysis and design of materials and structures under extreme conditions

Acknowledgment: Support from the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation program, Grant agreement No. ERC-ADG-2021-101052956-BEYOND is gratefully acknowledged.

This mini symposium will serve as a platform for researchers in mechanics and applied mathematics and engineers, to discuss the latest developments, challenges, and opportunities in the field of contact mechanics and interfaces. Contact mechanics plays a crucial role in understanding the behavior of interacting surfaces under various loading, frictional, and environmental conditions, with applications spanning mechanical systems, material design, robotics, biomechanics, and tribology. Contributions concerning theoretical, numerical and experimental aspects are welcome.

The symposium will explore a broad spectrum of topics, including but not limited to:

• Theoretical and computational modeling of contact phenomena.
• Multi-scale modeling of interphases, thin films and surfaces, contact laws.
• Experimental methods for analyzing surface interactions. 
• Friction, wear, and lubrication mechanisms at micro- and nanoscale interfaces.
• Damage, fracture and other dissipative processes at interfaces.
• Multi-physics aspects of contact, such as thermal, electrical, and coupled interactions. 
• Advances in materials for enhanced interface performance, including coatings, composites, and soft materials.
• Applications in robotics, microelectromechanical systems (MEMS), and additive manufacturing.
• Biomechanical contact mechanics, including joint, cartilage, and prosthetic interfaces. 
• Contact and nonsmooth mechanics, theory and applications 
• Novel artificial intelligence based computational methods

Participants will gain valuable insights into cutting-edge research and emerging technologies while fostering interdisciplinary collaboration to address future challenges in contact mechanics and interfaces.

Uncertainty quantification (UQ) has become a critical component in the analysis and design of modern engineering systems, particularly in solid and structural mechanics. This minisymposium will serve as a forum for presenting cutting-edge advancements in UQ methodologies and their applications to material characterization, structural performance assessment, and failure prediction under uncertainty. A key focus will be on the transformative role of data-driven approaches, including artificial intelligence and machine learning algorithms, in addressing complex challenges within computational mechanics. The symposium invites contributions showcasing novel methods, hybrid or interdisciplinary approaches, and impactful real-world applications that advance the state of the art in UQ for solids and structures. Topics of interest include but are not limited to:

• Probabilistic modeling and stochastic simulation of materials and structures
• Stochastic finite element methods
• Multi-scale and multi-physics UQ approaches in solids and structures
• Development of surrogate models for rapid uncertainty propagation
• Machine learning and data-driven approaches for UQ
• Generative AI models for UQ
• Intrusive and non-intrusive reduced order modeling techniques
• Integration of physics-informed machine learning for predictive modeling
• Bayesian inference and parameter identification in data-limited scenarios
• Sequential Bayesian learning methods and applications
• Input-state-parameter estimation methods and applications
• Hybrid UQ frameworks combining experimental data with computational models
• UQ in structural health monitoring and damage detection
• Reliability analysis and risk assessment in engineering
• Updating reliability given test/monitoring data
• Applications of UQ in composite materials, metamaterials, and smart structures

Advanced materials and structures have an increasing role in many engineering fields, particularly where materials and structures operate in severe environments and are subjected to high and complex, e.g. extreme, multi-axial, loading conditions.

Accordingly, Researchers are asked to design and develop innovative materials which could combine strength, ductility, resilience and environmentally friendly life cycle for advanced structural applications.

After the introduction of complex composite materials and the advent of smart materials, in the last decades many innovative contributions came from the world of bioinspired materials, nanomaterials, metamaterials, graded materials etc. These classes allow for the design of nano-, micro-, or multi-scale structured materials with unprecedented properties in both statics and dynamics loading conditions, such as self-healing or self-monitoring, which could enhance their properties and increase the safety of structures.

Topics of interest for the minisymposium include but are not limited to:

• Bioinspired Materials
• Nanomaterials
• Metamaterials
• Graded Materials
• Additive Manufacturing fabrication
• Artificial Intelligence design
• Computational Mechanics design
• Applications in several fields from Biomechanics to Aerospace, including for both materials and structures, computational analysis, fatigue, fracture and damage, experimental methods, interface problems, etc.

The symposium will foster interdisciplinary dialogue and collaboration. Attendees will gain a comprehensive understanding of the current state and future directions of innovative materials research. This event aspires to catalyze the translation of breakthrough materials into practical, scalable, and sustainable solutions for a rapidly evolving world.

Heterogeneous microstructured materials are at the forefront of material science, offering unique combinations of properties derived from their complex microstructures. Accurate multiscale modeling of these materials is critical for understanding their behavior, optimizing their design, and enabling advanced applications across industries. Indeed, there is a constantly growing interest in the development of multiscale methods both in a deterministic and stochastic setting, as they are becoming emerging research frontiers. The former requires innovative micro-to-macro multifield rigorous approaches, such as “structured deformations”, especially in regard to defectiveness arising in man-made, biological continua and metamaterials. The latter suite for uncertainty quantification and reliability analysis of composite materials and structures, as well as the integration of stochastic methods into a multiscale framework. This Mini-Symposium aims at presenting recent advances in the field of multiscale modelling and enhanced methods to study heterogeneous media and metamaterials, with special emphasis on innovative rigorous deterministic approaches and stochastic modeling and uncertainty quantification. In this respect, topics of interest include but are not limited to:

• Advanced analytical and computational methods for deterministic and stochastic material modeling
• Efficient modelling and simulation of organized and random microstructure/morphology
• Innovative deterministic and stochastic modeling of fracture and damage
• Random field modelling of heterogeneous media
• Design / Optimization of composite materials and structures considering uncertainty
• Homogenization of materials with reconfigurable deterministic and/or random microstructure
• Finite element solution of multiscale stochastic partial differential equations
• Machine learning techniques for efficient material modelling
• Data-driven material modelling
• Analytical and computational homogenization and other scale-bridging techniques
• Multiphysics modeling of heterogeneous materials, including coupled mechanical, chemical, thermal, and electrical processes
• High-performance computing methods for efficient multiscale material analysis
• Phase-field and Peridynamics methods for fracture, damage, and other microstructural evolution processes

This mini-symposium will explore the cutting-edge methodologies and computational tools driving the analysis, design, and optimization of non-traditional structural systems. These include, but are not restricted to tension and membrane structures, framed and lattice structures, gridshells and active-bending structures, shell roofs, tensegrity structures, pneumatic and inflatable structures, active and deployable structures, concrete, metal, timber and bio-based, and structures for space exploration. Emphasis will be placed on the unique challenges these innovative systems present, particularly in terms of their dynamic behaviour, material performance, and geometric complexity.

Key Themes are:

•    Advanced numerical modelling tailored for large deformations and non-linear behaviours.
•    Integration of parametric design tools with structural analysis software.
•    Computational approaches for modelling dynamic and kinetic structures.
•    Multi-objective optimization for weight, cost, and performance trade-offs.
•    Topology optimization for efficient material distribution in complex geometries.
•    Data-driven design optimization using machine learning and AI.
•    Adaptive and kinetic structures responding to environmental stimuli.
•    Integration of aesthetics and functionality in non-traditional designs.

Masonry structures present unique challenges to the computational mechanics community due to their inherent heterogeneity, anisotropy, and highly nonlinear material behaviour, often accompanied by variability and uncertainty of mechanical properties. At the structural level, their geometrical complexity and the diverse nature of external actions to which they are subjected further complicate their computational modelling. Addressing these challenges requires the development of advanced numerical techniques for modelling, structural assessment, and digital documentation of masonry structures, with the ultimate goal to enable an accurate prediction of their mechanical response, enhance decision-making processes for their conservation and rehabilitation, and favour the creation of detailed digital twins for both historical and modern constructions.

This mini-symposium aims to bring together the latest research contributions on computational approaches for masonry structures. Topics of interest include, but are not limited to, nonlinear constitutive modelling, homogenization techniques, block-based approaches, structural analysis under static and dynamic loads, structural health monitoring, artificial intelligence and machine learning techniques, data management and visualization methods, as well as form-finding and structural optimization strategies.

Computational Mechanics is a critical and dynamic research field underpinning a wide range of engineering sectors, including Civil, Mechanical, Aerospace, Naval, Environmental, Biomedical, and Ocean Engineering, among others. The field is dedicated to advancing computational tools and innovative discretization methods that are efficient, accurate, and versatile enough to address complex problems and physical phenomena across disciplines.

Prominent examples of advanced discretization methods include (but are not limited to) Isogeometric Analysis (IGA), Isogeometric Collocation (IGA-C), Isogeometric Boundary Elements (IGA-BEM), Mimetic Finite Differences (MFD), Virtual Elements (VEM), Polygonal Finite Elements, Extended/Generalized Finite Element Methods (XFEM/GFEM), Immersed Methods, Smoothed Particle Hydrodynamics (SPH), Peridynamics and Meshfree methods.

The Italian Group of Computational Mechanics (GIMC) and the Greek Association of Computational Mechanics (GRACM) are co-organizing Minisymposium MS 18: Advanced Discretization Methods in Computational Mechanics, providing a platform for discussing the latest advancements, challenges, applications, and opportunities in this cutting-edge domain.

The minisymposium welcomes contributions addressing both theoretical developments and practical numerical applications. Topics of interest include innovative methodologies for tackling complex engineering challenges, such as simulation of material and geometric nonlinearities, interface modeling, crack propagation tracking, regularized formulations, phase‐field models, fluid‐structure interaction, computational aspects in biomechanics and other multiphysics simulations of interest to the computational mechanics community. Submissions related to the integration of data-driven algorithms in Computational Mechanics are also strongly encouraged.