Modular and Interdisciplinary Methods for Aeroelastic Simulations (MIMAS)

In the context of high aspect ratio wings or blades, aeroelasticity is becoming increasingly crucial for predicting the safety, efficiency, and performance of modern aircraft. This paper describes the development of MIMAS, a computational framework for simulating complex nonlinear aeroelastic phenomena from incompressible to highly transonic flows, in steady or unsteady configurations. On the one hand, MIMAS features advanced mesh deformation and transfer algorithms that have been renewed and optimised to enable faster computations compared to previous implementations within ONERA legacy codes. On the other hand, it offers ready-to-use coupling scenarios to support loose to strong fluid-structure interactions. This environment provides a high-level end-user abstraction layer that allows to couple a wide range of aerodynamic and non-linear structural simulation codes. In addition, the data structure is sufficiently generic to handle both structured and unstructured discretizations. In this paper, we first demonstrate the ability of MIMAS to reproduce existing representative computations such as harmonic forced motion, static coupling and dynamic coupling, without overhead induced by the modular implementation. Second, we present new capabilities of MIMAS, in particular the improved algorithms for mesh deformation and data transfer and its ability to leverage modern HPC architectures.

Authors

Publication Details

Journal
Comptes Rendus Mécanique
Published
2025-10-24
DOI
https://doi.org/10.5802/crmeca.337
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modular and Interdisciplinary Methods for Aeroelastic Simulations (MIMAS)

Pierre-Emmanuel des Boscs, Antoine Placzek, Cédric Liauzun, Mikel Balmaseda et al.
Comptes Rendus Mécanique
Computational Fluid Dynamics and Aerodynamics
article

Modular and Interdisciplinary Methods for Aeroelastic Simulations (MIMAS)

Pierre-Emmanuel des Boscs, Antoine Placzek, Cédric Liauzun, Mikel Balmaseda, Alain Dugeai, Antoine Riols-Fonclare, Christophe Blondeau, Charly Mollet, Yann Vallat
article en

Abstract

In the context of high aspect ratio wings or blades, aeroelasticity is becoming increasingly crucial for predicting the safety, efficiency, and performance of modern aircraft. This paper describes the development of MIMAS, a computational framework for simulating complex nonlinear aeroelastic phenomena from incompressible to highly transonic flows, in steady or unsteady configurations. On the one hand, MIMAS features advanced mesh deformation and transfer algorithms that have been renewed and optimised to enable faster computations compared to previous implementations within ONERA legacy codes. On the other hand, it offers ready-to-use coupling scenarios to support loose to strong fluid-structure interactions. This environment provides a high-level end-user abstraction layer that allows to couple a wide range of aerodynamic and non-linear structural simulation codes. In addition, the data structure is sufficiently generic to handle both structured and unstructured discretizations. In this paper, we first demonstrate the ability of MIMAS to reproduce existing representative computations such as harmonic forced motion, static coupling and dynamic coupling, without overhead induced by the modular implementation. Second, we present new capabilities of MIMAS, in particular the improved algorithms for mesh deformation and data transfer and its ability to leverage modern HPC architectures.

Comptes Rendus MécaniqueVol. 353(G1)
Openalex Percentile: Top 61%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.