Research on safety evaluation of collapse risk in highway tunnel construction based on intelligent fusion

Research on safety evaluation of collapse risk in highway tunnel construction based on intelligent fusion

To solve the problems of untimely and low accuracy of tunnel project collapse risk prediction, this study proposes a method of multi-source information fusion. The method uses the PSO-SVM model to predict the surrounding rock displacement. With the prediction index as the benchmark, the Cloud Model...

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Bibliographic Details
Main Authors: Bo Wu, Yajie Wan, Shixiang Xu, Yishi Lin, Yonghua Huang, Xiaoming Lin, Ke Zhang
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Tunnel collapse
Cloud model
D-S evidence
PSO-SVM
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024021832

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024021832

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