Physics-Informed Parallel Neural Networks with self-adaptive loss weighting for the identification of continuous structural systems-Reference-Cited by-同舟云学术

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Physics-Informed Parallel Neural Networks with self-adaptive loss weighting for the identification of continuous structural systems

Published:2024-07 Issue: Volume:427 Page:117042
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zhang Rui^ORCID,Warn Gordon P.,Radlińska Aleksandra

Publisher

Elsevier BV

Reference45 articles.

1. Structural system identification: from reality to models;Alvin;Comput. Struct.,2003

2. Past, present and future of nonlinear system identification in structural dynamics;Kerschen;Mech. Syst. Signal Process.,2006

3. Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019;Hou;J. Sound Vib.,2021

4. Finite element model updating: Multiple alternatives;Zárate;Eng. Struct.,2008

5. Hierarchical Bayesian model updating for structural identification;Behmanesh;Mech. Syst. Signal Process.,2015

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