In complex mechanical simulations, maintaining an accurate mesh throughout a non-linear evolution is critical. This guide explores how to implement automatic mesh adaptation using the MACR_ADAP_MAIL macro in code_aster, specifically for cases involving the STAT_NON_LINE solver. 1. Overview of the Adaptation Strategy The goal is to iteratively refine or derefine Read more
Structural stability is paramount in design. While static analysis helps us understand stress and deformation, it doesn’t always tell the whole story. A slender column, perfectly safe under a static load, can suddenly collapse due to buckling when that load reaches a critical point. This phenomenon is a catastrophic failure Read more
In the demanding world of Finite Element Analysis (FEA), performance is king. When tackling complex engineering problems, especially with large datasets and intricate geometries, how efficiently your software scales with increasing computational resources can make or break your analysis time. This is precisely what we set out to investigate: a Read more
Finite Element Analysis (FEA) is a powerful tool for understanding the structural behavior of complex designs. In this post, we’ll delve into an FEA analysis performed on a drone frame using the open-source software Code_Aster. Our goal was to analyze its static and dynamic characteristics, and we leveraged the power Read more
The oil and gas, petrochemical, and power generation industries heavily rely on aging infrastructure operating under demanding conditions. Ensuring the integrity of these assets is paramount, and API 579-1/ASME Fitness-For-Service (FFS) provides a robust framework for evaluating the structural integrity of in-service components with flaws. Finite Element Analysis (FEA) is Read more
Finite Element Method (FEM) analysis relies heavily on the choice of element type. The accuracy and efficiency of your simulation depend significantly on selecting the appropriate element for your geometry and loading conditions. Three fundamental element types are BEAM, SHELL, and SOLID elements. This post explores the differences between them, Read more
A new benchmark to evaluate performance of two of the most common FEM/FEA solvers is proposed. On the cloudHPC platform it is possible to execute both calculiX and code_aster simulations with the most advanced MPI compilation. None of the two solvers is, in fact, available in multi-core use – also Read more
You have run your simulation with code_aster FEM on the cloud and it is converged and now you need to post-process the results.The results files are several hundred GB and you don’t want to saturate your internet bandwith. This could be a tipical cloud computing scenario. You absolutely need to Read more
On cloudHPC it is possible to execute code_aster cluster with OpenMPI. This means the process is going to be divided among the cores available on the instance so your simulation can proceed faster. When executing MPI processes it is mandatory to “split” the mesh: the parallelization in fact works that Read more
In Code_Aster, some time is necessary resume the analysis to make a more accurate post processing. As long as you work on your machine and using a graphical interface such as that of AsterStudy, the procedure can be trivial and immediate. But what if you have to resume an old Read more
