Technical Paper

Hybrid Particle Swarm Optimization and Machine Learning Framework for Enhanced Prediction of Ground Settlement during Rectangular Pipe Jacking

2026-99-1647

To be published on 07/24/2026

Event
2025 International Conference on Solid Mechanics and Materials (ICSMM 2025)
Authors
Shiwei Hu Civil Engineering Co., Ltd. of China Construction Fifth Engi
Rong Hu School of Civil Engineering, Hunan City University, Yiyang,
Hong Zhang Civil Engineering Co., Ltd. of China Construction Fifth Engi
Yi Chen Civil Engineering Co., Ltd. of China Construction Fifth Engi
Da Hu School of Civil Engineering, Hunan City University, Yiyang,
Abstract
Content
22
Meta Tags
Topics
Machine learning
Neural networks
Pipes and ducts
Optimization
Affiliated or Co-Author
Civil Engineering Co., Ltd. of China Construction Fifth Engi
School of Civil Engineering, Hunan City University, Yiyang,
Details
Citation
Hu, S., Hu, R., Zhang, H., Chen, Y., et al., "Hybrid Particle Swarm Optimization and Machine Learning Framework for Enhanced Prediction of Ground Settlement during Rectangular Pipe Jacking," 2025 International Conference on Solid Mechanics and Materials (ICSMM 2025), Hengyang, China, August 15, 2025, .
Additional Details
Publisher
SAE International
Published
To be published on Jul 24, 2026
Product Code
2026-99-1647
Content Type
Technical Paper
Language
English