Finite element model-informed deep learning for equivalent force estimation and full-field response calculation-Reference-Cited by-同舟云学术

Finite element model-informed deep learning for equivalent force estimation and full-field response calculation

Published:2024-01 Issue: Volume:206 Page:110892
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Li Yixian^ORCID,Ni Peng,Sun Limin,Xia Yong^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference68 articles.

1. Typical advances of artificial intelligence in civil engineering;Xu;Adv. Struct. Eng.,2022

2. A novel unsupervised deep learning model for global and local health condition assessment of structures;Rafiei;Eng. Struct.,2018

3. A systematic review of convolutional neural network-based structural condition assessment techniques;Sony;Eng. Struct.,2021

4. Deep reinforcement learning-based sampling method for structural reliability assessment;Xiang;Reliab. Eng. Syst. Saf.,2020

5. A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations;Fathnejat;Eng. Struct.,2023

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