Novel hybrid machine learning approach for predicting structural response of RC beams under blast loading-Reference-Cited by-同舟云学术

Novel hybrid machine learning approach for predicting structural response of RC beams under blast loading

Published:2022-05 Issue: Volume:39 Page:1092-1106
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Almustafa Monjee K.,Nehdi Moncef L.

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. Blast Performance of Ultra-High-Performance Concrete Beams Tested Under Shock-Tube Induced Loads;Guertin-Normoyle,2018

2. Parameters Affecting the Blast Performance of High Strength Fibre Reinforced Concrete Beams;Algassem,2016

3. Effects of Detailing and Fibers on the Static and Blast Behaviour of High-Strength Concrete;Charles,2019

4. Effect of initial blast response on RC beams failure modes;Nassr;Nucl Eng Des,2017

5. J. Magnusson H. Hansson High Performance Concrete Beams Subjected to Shock Waves from Air Blast Swedish Defense Research Agency (FOI) Tumba 2000 FOA-R–OO-01586-311-SE.

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3. Machine-Learning Applications in Structural Response Prediction: A Review;Practice Periodical on Structural Design and Construction;2024-08

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