Modular parametric PGD enabling online solution of partial differential equations

In the present work, a new methodology is proposed for building surrogate parametric models of engineering systems based on modular assembly of pre-solved modules. Each module is a generic parametric solution considering parametric geometry, material and boundary conditions. By assembling these modules and satisfying continuity constraints at the interfaces, a parametric surrogate model of the full problem can be obtained. In the present paper, the PGD technique in connection with NURBS geometry representation is used to create a parametric model for each module. In this technique, the NURBS objects allow to map the governing boundary value problem from a parametric non-regular domain into a regular reference domain and the PGD is used to create a reduced model in the reference domain. In the assembly stage, an optimization problem is solved to satisfy the continuity constraints at the interfaces. The proposed procedure is based on the offline–online paradigm: the offline stage consists of creating multiple pre-solved modules which can be afterwards assembled in almost real-time during the online stage, enabling quick evaluations of the full system response. To show the potential of the proposed approach some numerical examples in heat conduction and structural plates under bending are presented.

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Publication Details

Journal
Computers & Mathematics with Applications
Published
2024-11-05
DOI
https://doi.org/10.1016/j.camwa.2024.10.037
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.28

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article

Modular parametric PGD enabling online solution of partial differential equations

Angelo Pasquale, Daniele Di Lorenzo, Amine Ammar, Mohammad Javad Kazemzadeh‐Parsi et al.
1 citations
Computers & Mathematics with Applications
Model Reduction and Neural Networks
0.28
article

Modular parametric PGD enabling online solution of partial differential equations

Angelo Pasquale, Daniele Di Lorenzo, Amine Ammar, Mohammad Javad Kazemzadeh‐Parsi, Francisco Chinesta, Victor Champaney
article en
1 citations

Abstract

In the present work, a new methodology is proposed for building surrogate parametric models of engineering systems based on modular assembly of pre-solved modules. Each module is a generic parametric solution considering parametric geometry, material and boundary conditions. By assembling these modules and satisfying continuity constraints at the interfaces, a parametric surrogate model of the full problem can be obtained. In the present paper, the PGD technique in connection with NURBS geometry representation is used to create a parametric model for each module. In this technique, the NURBS objects allow to map the governing boundary value problem from a parametric non-regular domain into a regular reference domain and the PGD is used to create a reduced model in the reference domain. In the assembly stage, an optimization problem is solved to satisfy the continuity constraints at the interfaces. The proposed procedure is based on the offline–online paradigm: the offline stage consists of creating multiple pre-solved modules which can be afterwards assembled in almost real-time during the online stage, enabling quick evaluations of the full system response. To show the potential of the proposed approach some numerical examples in heat conduction and structural plates under bending are presented.

Computers & Mathematics with ApplicationsVol. 176
ESI Group (France) (FR), Arts et Métiers (FR), Laboratoire Angevin de Mécanique, Procédés et InnovAtion (FR)
National Research Foundation Singapore, ESI Group
Openalex Percentile: Top 43%
Model Reduction and Neural Networks
0.28
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Modular parametric PGD enabling online solution of partial differential equations — Angelo Pasquale, Daniele Di Lorenzo, et al. · Computers & Mathematics with Applications (2024) | TGRS Research Map | TGRS