Load Capacity Prediction of Corroded Steel Plates Reinforced with Adhesive and High-Strength Bolts Using a Particle Swarm Optimization Machine Learning Model

A machine learning (ML) model, optimized by the Particle Swarm Optimization (PSO) algorithm, was developed in this study to predict the shear slip load of adhesive/bolt-reinforced corroded steel plates. An extensive database comprising 490 experimental or numerical specimens was initially employed t...

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Bibliographic Details

Published in:	Buildings
Main Authors:	Xianling Zhou, Ming Li, Qicai Li, Guohua Sun, Wenyuan Liu
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	corroded steel plate adhesive/bolt reinforcement machine learning particle swarm optimization shear slip load prediction
Online Access:	https://www.mdpi.com/2075-5309/14/8/2351