Minisymposia

MS1 – Innovative approaches for the construction of digital twins on complex systems

This mini-symposium focuses on the development of efficient digital twins for the analysis of complex dynamical systems (large state or parametric dimension, multi-scale, multi-physics, etc.) in mechanical engineering. This is a critical research topic given the increasing prevalence of such systems in current studies, with practical requirements (real-time simulation, high fidelity, etc.) that are becoming incompatible with the capabilities of classical numerical tools and associated solvers. Beyond already established approaches such as model reduction or meta-modelling, this theme greatly benefits from the rise of data science and machine learning techniques. Physics-informed data-driven approaches, as well as hybrid strategies combining physics-based models and learning techniques, are now being developed and applied to a wide range of applications (e.g. material behaviour modelling, structural health monitoring, or process simulation). The aim of this mini-symposium is therefore to provide an overview of these techniques, highlighting recent advances, the most mature applications in materials and structural mechanics, as well as the current impacts and challenges for research and industry.

Keywords: Model order reduction methods (reduced bases, POD/PGD, …) or meta-modelling (kriging, Gaussian processes, …), data-driven approaches, hybrid twins, real-time simulation applications (control, etc.), software implementation.

Organisers: Emmanuelle Abisset-Chavanne, Ludovic Chamoin, Mathilde Chevreuil, Pierre Kerfriden

MS2 – Optimisation and uncertainty propagation in structural mechanics

This mini-symposium is dedicated to recent advances in optimisation and uncertainty management in structural mechanics. It emphasises numerical models and methods that enable the efficient solution of potentially complex optimisation and design problems, considering, for example, non-linear mechanical behaviours, multi-scale/multi-physics aspects, or uncertainties (arising from data or modelling). This covers a broad spectrum of applications, from design, shape, and topology optimisation, to multidisciplinary optimisation, along with a wide range of methodologies (gradient-based methods, genetic optimisation, Bayesian optimisation, etc.).

The topics addressed include sensitivity analysis, reliability and robustness of structures, verification, validation and uncertainty quantification (VVUQ). They also encompass advanced solution strategies aimed at reducing computational costs during the exploration and identification of optimal structures, such as multi-fidelity approaches, meta-models, or dedicated optimisation algorithms/solvers.

This mini-symposium therefore aims to bring together theoretical, methodological, and applied contributions from academia and industry. Its objective is to discuss the emergence of new approaches, while also highlighting the scientific challenges associated with the optimal design of complex, robust, and reliable structures.

Keywords: design optimisation; topology optimisation; shape optimisation; multidisciplinary optimisation (MDO); uncertainties in structural mechanics ; reliability; robustness; VVUQ; optimisation under uncertainty.

Organisers: Pierre-Alain Boucard, Sylvain Dubreuil, Cécile Mattrand, Thibaut Hirschler

MS3 – Multi-scale numerical modelling of non-linear behaviour for aerospace structures

Understanding the non-linear mechanical response of aerospace structures (aircraft, helicopters, turbomachinery, launchers, satellites, etc.), from design to certification and operation, represents a major challenge for stakeholders in this industrial sector. The characterisation and modelling of non-linear phenomena occurring at the different scales of an aircraft—at the material, assembly, or structural level—are therefore the subject of extensive theoretical research and technical developments, both experimental and numerical. These are now heavily reliant on the most advanced numerical technologies. Presentations in this session, both industrial and academic, will fall within this scope and aim to illustrate major current and forthcoming developments in the field of non-linear structural analysis.

Keywords: aerospace, structural analysis, non-linear mechanics, advanced numerical simulation, test–simulation dialogue

Organisers: to be announced

MS4 – High-Performance Computing in solid and structural mechanics: theory, implementation, and applications

High-performance computing (HPC) has become essential in numerical simulation for solid mechanics due to the complexity of the problems to be addressed: non-linear, multi-physics, and multi-scale. The increasing complexity of these simulations requires not only robust models, but also numerical implementations capable of fully exploiting massively parallel architectures, including hybrid CPU/GPU systems.

This mini-symposium will place particular emphasis on:

• the development of numerical algorithms suited to HPC (direct and iterative solvers, domain decomposition methods, multigrid methods, advanced preconditioners),

• optimisation and coupling with established HPC libraries (PETSc, MUMPS, etc.),

• parallelisation and data management strategies for distributed computing, including on heterogeneous CPU/GPU architectures,

• case studies illustrating performance, accuracy, and simulation capability improvements.

Organisers: Pierre Gosselet, Christophe Bovet, Pierre-Alain Guidault, Valentine Rey

MS5 – Image-based mechanics and link with experimental data

The mini-symposium “Mechanics based on experimental data” aims to highlight methodological and applicative advances related to the exploitation of experimental data in solid mechanics. In recent years, the rise of high-resolution measurement techniques (optical imaging, tomography, multi-physics imaging, etc.) together with the increase in computational capacities has enabled the development of new modelling approaches that directly integrate information from experiments.

Contributions are expected on data assimilation and processing, identification of mechanical properties and behaviours from images, as well as the implementation of modelling strategies based on experimental observations. Topics include, among others, image-based modelling, data-driven approaches for mechanics, and the development of digital twins capable of faithfully representing the evolution of materials and structures under various loadings.

This mini-symposium provides a privileged forum for exchange between researchers developing methodologies for the integration of experimental data and those interested in their applications in different contexts (structures, heterogeneous materials, manufacturing processes, etc.).

Keywords : image-based modelling, data-driven approaches, experimental data assimilation, image correlation and processing, identification of mechanical properties, digital twins

Organisers : Sylvia Feld-Payet, Lionel Gelebart, Clément Jailin, Adrien Leygue

Classic themes at CSMA  

As always, the classical themes of the CSMA community will be addressed during the conference.

Statics and dynamics of structures

• Beams, plates, shells, composite structures, civil engineering structures, instabilities, structures vibrations, high speed dynamics, vibroacoustic, nanosystems

Structural lifecycle

• Fatigue, damage, cracks, fracture

Contact mechanics, interfaces

• Friction, thin film, contact modelling and methods, non-regular interfaces

Numerical methods

• Resolution and discretization methods, coupling models, multiscale methods, X-FEM, DEM, ANM, data sciences for mechanics, optimisation

Biomechanics and bioengineering

• Biomaterials, biomimicry

Material models and behaviours

• Plasticity, viscoelasticity, viscoplasticity, damage, instabilities, multiscale methods, multiphysic couplings, identification, inverse methods