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Parallel reduced-order modeling for digital twins using high-performance computing workflows

delete2025-06-24
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OA
AI
S
S. Ares de Parga
J
J.R. Bravo
N
N. Sibuet
J
J.A. Hernández
R
Riccardo Rossi
S
Stefan Boschert
E
Enrique S. Quintana–Ort́ı
A
Andrés E. Tomás
C
Cristian Cătălin Tatu
F
Fernando Vázquez-Novoa
J
Jorge Ejarque
R
Rosa M. Badía
DOI：10.1016/j.compstruc.2025.107867delete
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Abstract

Abstract

En 中文
• High-performance computing-enabled workflow for projection-based reduced order models. • Integration of parallel SVD algorithms for large-scale industrial simulations. • Introduction of a novel partitioned version of the Empirical Cubature Method. • Use case validating reduced-order modeling for motor thermal dynamics.
Keywords:
High-performance computing
Projection-based reduced-order models
Digital twins
Computational mechanics
Multiphysics simulations
Parallel algorithms
Empirical cubature method
Hyperreduction techniques
Convective heat transfer
Thermal analysis
Motor thermal dynamics

Journal

C
Computers and Structures
IF:
4.8
Papers:
6.2K
Citations:
1.7W

Organization

No organization information available