Optimal combinations of parameters for seismic response prediction of high-speed railway bridges using machine learnings-Reference-Cited by-同舟云学术

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Optimal combinations of parameters for seismic response prediction of high-speed railway bridges using machine learnings

Published:2023-11 Issue: Volume:57 Page:105089
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Zhou Wangbao,Xiong Lijun,Jiang Lizhong,Wu Lingxu,Xiang Ping,Jiang Liqiang

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference58 articles.

1. Recent developments of high-speed railway bridges in China[J];He;Struct Infrastruct Eng,2017

2. Influence of damping on seismic-induced track geometric irregularity spectrum in high-speed railway track-bridge system[J];Zhou;Soil Dyn Earthq Eng,2023

3. Post-earthquake track irregularity spectrum of high-speed railways continuous girder bridge[J];Feng;Steel Compos Struct Int J,2021

4. Response spectra of fitted post-seismic residual track irregularity for high-speed railway[J];Yu;Earthq Eng Struct Dyn,2023

5. Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks[J];Shi;Structures,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Seismic Response Prediction of Rigid Rocking Structures Using Explainable LightGBM Models;Mathematics;2024-07-21

2. Machine learning models for predicting VIV amplitude of streamlined steel box girders;Structures;2024-05

3. Optimizing seismic fragility assessments for high-speed railway track bridges: a novel multi-parameter methodology and intensity measure selection;Mechanics Based Design of Structures and Machines;2024-01-08

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