Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test

doi:10.3390/app11010217

	Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test
	Fang, Yuwei 1,2; Wu, Zhenjun 1,2; Sheng, Qian 1,2; Tang, Hua 1,2; Liang, Dongcai 1,2
刊名	APPLIED SCIENCES-BASEL
	2021
卷号	11 期号:1 页码:17
关键词	tunnel geology prediction neural network instrumented drilling drilling parameters genetic algorithm
DOI	10.3390/app11010217
英文摘要	Reliable geology prediction is of great importance in ensuring the stability and safety of tunnels and other underground engineering projects. This paper presents basic neural network and deep neural network models using a genetic algorithm (GA) to predict geological conditions for tunneling. Batch normalization and GA optimization approaches are employed in the deep neural network. A case study of the Jiudingshan Tunnel on the Chuxiong-Dali Highway in Yunnan, China, shows that the neural network method can predict geological conditions well, especially for rock types with voluminous data, for which predictive accuracy exceeds 90%. These results suggest that an appropriately trained neural network can reliably and accurately predict the geological conditions behind the tunnel face. The area under the curve (AUC) and confusion matrix evaluations show that the accuracy performance of the deep neural network exceeds that of the basic neural network. The feature importance of each drilling parameter was also analyzed; the results indicate that a neural network model for geology prediction can achieve predictive accuracy with few drilling parameters. The neural network geology prediction method provides reliable results for dynamic tunnel design.
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000605851400001
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/25542]
专题	中科院武汉岩土力学所
通讯作者	Wu, Zhenjun
作者单位	1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Fang, Yuwei,Wu, Zhenjun,Sheng, Qian,et al. Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test[J]. APPLIED SCIENCES-BASEL,2021,11(1):17.
APA	Fang, Yuwei,Wu, Zhenjun,Sheng, Qian,Tang, Hua,&Liang, Dongcai.(2021).Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test.APPLIED SCIENCES-BASEL,11(1),17.
MLA	Fang, Yuwei,et al."Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test".APPLIED SCIENCES-BASEL 11.1(2021):17.