Physics-Augmented Spatial-Temporal graph convolutional network for damage localization using Ultrasonic guided waves-Reference-Cited by-同舟云学术

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Physics-Augmented Spatial-Temporal graph convolutional network for damage localization using Ultrasonic guided waves

Published:2024-12 Issue: Volume:221 Page:111738
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Sun Lingyu,Song Ruijie,Wei Juntao,Gao Yumeng,Peng Chang,Fan Longqing^ORCID,Jiang Mingshun,Zhang Lei

Funder

Ministry of Science and Technology of the People's Republic of China

Shandong Province Department of Science and Technology

National Natural Science Foundation of China

Key Technology Research and Development Program of Shandong Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference33 articles.

1. Design of adhesively bonded lap joints with laminated CFRP adherends: Review, challenges and new opportunities for aerospace structures;Kupski;Compos. Struct.,2021

2. Development of a rivet geometry for solid self-piercing riveting of thermally loaded CFRP-metal joints in automotive construction;Vorderbrüggen;Compos. Struct.,2022

3. Optimization of multi-directional fiber architecture for resistance and ductility of bolted FRP profile joints;Liu;Compos. Struct.,2020

4. Does hygrothermal degradation of Mode I fatigue delamination resistance in carbon fibre reinforced polymer laminates depend on the ageing conditions?;Yao;Compos. Struct.,2024

5. Guided wave propagation in debonding detection in CFRP-reinforced steel plate-like structures;Zima;Ocean Eng.,2024

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