Coupling physics-informed neural networks and constitutive relation error concept to solve a parameter identification problem

Computers & Structures, 2023 - Elsevier
Identification of material model parameters using full-field measurement is a common
process both in industry and research. The constitutive equation gap method (CEGM) is a …
被引用次数：11 相关文章

[引用][C] Coupling physics-informed neural networks and constitutive relation error concept to solve a parameter identification problem

Y Wei, Q Serra, G Lubineau, E Florentin - Computers & Structures, 2023 - hal.science
Coupling physics-informed neural networks and constitutive relation error concept to solve a
parameter identification problem - Archive ouverte HAL Accéder directement au contenu …

Coupling physics-informed neural networks and constitutive relation error concept to solve a parameter identification problem

Y Wei, Q Serra, G Lubineau, E Florentin - 2023 - repository.kaust.edu.sa
Identification of material model parameters using full-field measurement is a common
process both in industry and research. The constitutive equation gap method (CEGM) is a …

Coupling physics-informed neural networks and constitutive relation error concept to solve a parameter identification problem

Y Wei, Q Serra, G Lubineau, E Florentin - 2023 - dl.acm.org
Identification of material model parameters using full-field measurement is a common
process both in industry and research. The constitutive equation gap method (CEGM) is a …