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Article Dans Une Revue Computation Année : 2022

Functional Parametric Elasto-Dynamics for Efficient Multicomponent Design

Résumé

In industrial settings, engineering products are often divided into separate components for detailed conception. They often require iterative corrections between different designers/teams to optimize the final product with all components assembled into a system. This article proposes a surrogate modeling approach with functional descriptions of parts in the model and aims to accelerate the design and optimization phase in real projects. The approach is applied to a vibration problem of a two-component plate structure, where the model estimates the dynamic behavior of the assembled system when only the properties of each individual part are available. A database is built using high-fidelity numerical simulations, and neural-network-based regressions provide reliable predictions on unseen data.
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Dates et versions

hal-04078552 , version 1 (23-04-2023)

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Jiajun Wu, Chady Ghnatios, Philippe Mordillat, Yves Tourbier, Francisco Chinesta. Functional Parametric Elasto-Dynamics for Efficient Multicomponent Design. Computation, 2022, 10 (12), pp.218. ⟨10.3390/computation10120218⟩. ⟨hal-04078552⟩
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