code_aster and Salomé for academia

• You want to adopt an open-source finite element solver to ensure the reproducibility of your results, avoid commercial licenses, and have a tool that you can freely inspect, modify, and cite in your publications.
• You run simulations on complex mechanical configurations—large deformations, nonlinear materials, multiphysics couplings—and struggle to get your calculations to converge or to interpret results that don’t match your theoretical assumptions.
• You want to explore your calculation results in detail: Did the calculation actually converge? Are the Newton residuals acceptable? How can you distinguish a modeling error from a numerical artifact before drawing scientific conclusions?
• You want to go beyond basic usage to integrate code_aster into your research environment: automate parametric studies, couple the solver with your own scripts or post-processing tools, or even extend its capabilities for needs specific to your field.

Modeling rigor that meets your scientific standards

Publishing numerical results requires justifying every modeling choice: mesh size, integration scheme, convergence criterion, and handling of nonlinearities. The training goes beyond simply teaching you how to use code_aster; it gives you the tools to explain the reasoning behind your choices to a peer review committee or a thesis defense panel.

Reproducible and shareable workflows

In research, a calculation that cannot be reproduced by a peer or your thesis successor has only limited value. You’ll learn to structure your simulations using scripts and documentation, version-controlled command files, and an automatable Salomé → code_aster → ParaView pipeline, so that your results are reproducible and auditable—including when submitting data associated with a publication.

A tool compatible with research funding constraints

code_aster is open-source, free, and sustainable: there is no dependence on a commercial vendor for the duration of your national or European project. The training enables you to deploy it effectively from the start of a project, whether you are a single Ph.D. student or need to equip an entire team.

A Network of Laboratories

This cross-institutional format brings together doctoral students and researchers from different disciplines and institutions to tackle the same digital challenges. You’ll compare your modeling approaches, identify common test cases, and leave with contacts who share your constraints—a concrete starting point for future collaborations or co-publications.

• Corporate: engineers and technicians with a basic understanding of the physical and digital aspects covered by the course.
• Academic: researchers, PhD students and students at higher education and research institutions.

Fundamentals of continuum mechanics and finite elements.