Seismic response prediction of a train-bridge coupled system based on a LSTM neural network-Reference-Cited by-同舟云学术

Seismic response prediction of a train-bridge coupled system based on a LSTM neural network

Published:2023-09-28 Issue: Volume: Page:1-23
ISSN:1539-7734
Container-title:Mechanics Based Design of Structures and Machines
language:en
Short-container-title:Mechanics Based Design of Structures and Machines

Author:

Xiang Ping¹²^ORCID,Zhang Peng¹²,Zhao Han¹²^ORCID,Shao Zhanjun¹²^ORCID,Jiang Lizhong¹²

Affiliation:

1. School of Civil Engineering, Central South University, Changsha, Hunan, China

2. National Engineering Research Center of High-Speed Railway Construction Technology, Changsha, Hunan, China

Funder

National Natural Science Foundation of China

Hunan high-level talent plan

Central South University Research

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Condensed Matter Physics,Aerospace Engineering,Automotive Engineering,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15397734.2023.2260469

Reference46 articles.

1. Learning long-term dependencies with gradient descent is difficult

2. Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm

3. Nonlinear seismic assessment of isolated high-speed railway bridge subjected to near-fault earthquake scenarios

4. A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions

5. Model Updating of Railway Bridge Using In Situ Dynamic Displacement Measurement under Trainloads

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