Real-time prediction of structural fire responses: A finite element-based machine-learning approach-Reference-Cited by-同舟云学术

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Real-time prediction of structural fire responses: A finite element-based machine-learning approach

Published:2022-04 Issue: Volume:136 Page:104165
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Ye Zhongnan,Hsu Shu-Chien,Wei Hsi-Hsien

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference45 articles.

1. World Fire Statistics;Brushlinsky,2016

2. Fire hazard in buildings: review, assessment and strategies for improving fire safety;Kodur;PSU Res. Rev.,2019

3. Properties of concrete at elevated temperatures;Kodur;Int. Scholarly Res. Notic.,2014

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1. Graph recurrent neural networks-integrated real-time prediction of key displacements for fire-induced collapse early warning of steel frames;Applied Soft Computing;2024-09

2. Surrogate Model-Driven Estimation of Adiabatic Surface Temperature of Fire Exposed Suspension Bridge Towers;Fire Technology;2024-08-16

3. Rapid damage state identification of structures using generalized zero‐shot learning method;Earthquake Engineering & Structural Dynamics;2024-08-13

4. Real-Time Simulation of Tube Hydroforming by Integrating Finite-Element Method and Machine Learning;Journal of Manufacturing and Materials Processing;2024-08-12

5. Intelligent prediction method for the collapse time of steel frame structures under fire;Journal of Constructional Steel Research;2024-08

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