Machine learning prediction of structural dynamic responses using graph neural networks-Reference-Cited by-同舟云学术

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Machine learning prediction of structural dynamic responses using graph neural networks

Published:2023-12 Issue: Volume:289 Page:107188
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Li Qilin,Wang Zitong,Li Ling,Hao Hong,Chen Wensu,Shao Yanda

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference56 articles.

1. Crack band theory for fracture of concrete;Bažant;Matér Constr,1983

2. Fracture processes of concrete;Van Mier,1996

3. Dynamics of structures;Clough,1993

4. Review of the current practices in blast-resistant analysis and design of concrete structures;Hao;Adv Struct Eng,2016

5. Review on impact response of reinforced concrete beams: contemporary understanding and unsolved problems;Pham;Adv Struct Eng,2021

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2. Deep learning-based prediction of structural responses of RC slabs subjected to blast loading;Engineering Structures;2024-07

3. Advancing blast fragmentation simulation of RC slabs: A graph neural network approach;Engineering Structures;2024-06

4. Advanced Machine Learning Methods for Prediction of Blast-Induced Flyrock Using Hybrid SVR Methods;Computer Modeling in Engineering & Sciences;2024

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