Optimization of Aluminum Alloy Formwork Geometry Parameters Based on a PSO-BP Neural Network

Optimization of Aluminum Alloy Formwork Geometry Parameters Based on a PSO-BP Neural Network

To assist in addressing the problem where an aluminum alloy formwork (AAF) deforms more greatly under the action of lateral pressure and therefore does not meet the requirements of plaster-free engineering, we propose a method for determining the geometric parameters of this formwork based on a PSO...

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Bibliographic Details
Main Authors: Yingjie Chen, Zhenxiao Qian, Chaofeng Kang, Yunfeng Wu, Qun Dong, Chao Sun
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Buildings
Subjects:
aluminum alloy formwork
particle swarm optimization
BP neural network
optimization of geometric parameters
computational modeling
orthogonal experiment
Online Access:https://www.mdpi.com/2075-5309/13/5/1283

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https://www.mdpi.com/2075-5309/13/5/1283

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