Probabilistic safety analysis of coupled train-bridge system using deep learning based surrogate model-Reference-Cited by-同舟云学术

Probabilistic safety analysis of coupled train-bridge system using deep learning based surrogate model

Published:2021-12-06 Issue: Volume: Page:1-20
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Li Huile¹²,Wang Tianyu¹²,Wu Gang¹²

Affiliation:

1. Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, School of Civil Engineering, Southeast University, Nanjing, China

2. National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central University

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2021.2010104

Reference61 articles.

1. Prediction of aeroelastic response of bridge decks using artificial neural networks

2. A comparison of approximate response functions in structural reliability analysis

3. Train–track–bridge modelling and review of parameters

4. Structural reliability analysis using Monte Carlo simulation and neural networks

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