Distributed Optical Fiber Intelligent Sensing Method
for 3D Deformation of Tunnel Joints

MA Zhuo; FANG Zhongqiang; ZHANG Dan; TU Qiliang; SHI Bin; NURLAN Yedili

doi:10.3973/j.issn.2096-4498.2023.03.016

Tunnel Construction >

2023 , Vol. 43 >Issue 3: 514 - 520

DOI: https://doi.org/10.3973/j.issn.2096-4498.2023.03.016

Distributed Optical Fiber Intelligent Sensing Method for 3D Deformation of Tunnel Joints

MA Zhuo ,
FANG Zhongqiang ,
ZHANG Dan ,
TU Qiliang ,
SHI Bin ,
NURLAN Yedili

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(1.School of Earth Science and Engineering,Nanjing University, Nanjing 210023,Jiangsu,China;2.China Design Group Co.,Ltd., Research and Development Center of Transport Industry of Technologies and Equipments for Intelligent Design,Construction and Maintenance of Underwater Tunnel,Ministry of Transport,Nanjing 210014,Jiangsu,China)

Online published: 2023-04-17

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Abstract

It is difficult to accurately monitor the threedimensional deformation of joints in underwater tunnels based on traditional methods. A new threedimensional deformation sensing method for tunnel joints is proposed based on distributed fiber optic strain sensing technology and artificial intelligence machine learning algorithm. Firstly, a monitoring method of joint deformation of tunnel is designed by using distributed optical fiber strain sensor. According to the theoretical relationship between the optical fiber strain and the joint deformation, a threedimensional deformation model of tunnel joints is established, and 12 sets of data are obtained. There are 4 000 data of tunnel joint deformation and optical fiber strain in each set. Then, a new twolevel progressive classification algorithm based on machine learning methods, including decision tree, random forest, and support vector machine, is proposed to accurately calculate the threedimensional deformation of tunnel joints. The accuracy of tunnel joint deformation can reach 0.1 mm. It is found that the support vector machine has higher accuracy and stability for threedimensional deformation of tunnel joints compared with the machine learning algorithms of decision tree and random forest.

Key words： underwater tunnel; joint deformation; distributed optical fiber sensing; strain; machine learning

Cite this article

MA Zhuo , FANG Zhongqiang , ZHANG Dan , TU Qiliang , SHI Bin , NURLAN Yedili . Distributed Optical Fiber Intelligent Sensing Method for 3D Deformation of Tunnel Joints[J]. Tunnel Construction, 2023 , 43(3) : 514 -520 . DOI: 10.3973/j.issn.2096-4498.2023.03.016

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