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A platform for research: civil engineering, architecture and urbanism
Prediction Technology of Ground Surface Settlement under the Pipe Jacking Consyruction Based on Intelligent Algorithm
The ground settlement under pipe jacking is one of the key factors affecting construction safety and engineering quality. At present, domestic and foreign scholars have carried out a large number of studies on the prediction technology of surface settlement through pipe piercing. However, most of these studies are based on the simple combination of construction experience and prediction methods, and lack of systematic analysis and in-depth research on relevant influencing factors and parameters. Under this background, this paper discusses a prediction technology of surface settlement based on neural network, genetic algorithm and particle swarm algorithm. By combining relevant theoretical research and field monitoring data, the neural network model, genetic algorithm model, particle swarm algorithm model and improved BP neural network model are established, and the model is used to predict the surface settlement under the pipe top. The results show that the improved BP neural network model has higher prediction accuracy.
Prediction Technology of Ground Surface Settlement under the Pipe Jacking Consyruction Based on Intelligent Algorithm
The ground settlement under pipe jacking is one of the key factors affecting construction safety and engineering quality. At present, domestic and foreign scholars have carried out a large number of studies on the prediction technology of surface settlement through pipe piercing. However, most of these studies are based on the simple combination of construction experience and prediction methods, and lack of systematic analysis and in-depth research on relevant influencing factors and parameters. Under this background, this paper discusses a prediction technology of surface settlement based on neural network, genetic algorithm and particle swarm algorithm. By combining relevant theoretical research and field monitoring data, the neural network model, genetic algorithm model, particle swarm algorithm model and improved BP neural network model are established, and the model is used to predict the surface settlement under the pipe top. The results show that the improved BP neural network model has higher prediction accuracy.
Prediction Technology of Ground Surface Settlement under the Pipe Jacking Consyruction Based on Intelligent Algorithm
Advances in Engineering res
Zhang, Yu (editor) / Li, Dayong (editor) / Zhang, Yukun (editor) / Luan, Yalin (editor) / Yang, Xiaojun (author) / Zhang, Zhihua (author) / Yin, Chen (author) / Zhou, Xingtao (author) / Qin, Wei (author)
International Conference on Architectural, Civil and Hydraulic Engineering ; 2024 ; Shenyang, China
2025-03-01
11 pages
Article/Chapter (Book)
Electronic Resource
English
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