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Advances in Civil Engineering
Volume 2017 (2017), Article ID 6159095, 9 pages
https://doi.org/10.1155/2017/6159095
Research Article

Inversion Calculation Analysis of Operational Tunnel Structure Based on the Distributed Optical-Fiber Sensing System

1Dalian University R&D Center of the Civil Engineering Technology, Dalian 116622, China
2School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China

Correspondence should be addressed to Jie Zhao

Received 31 March 2017; Revised 7 June 2017; Accepted 12 July 2017; Published 17 August 2017

Academic Editor: Deodato Tapete

Copyright © 2017 Jie Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In combination of the actual project in Dalian Baiyun Mountain Tunnel, this paper introduces the principle of fiber optic sensor monitoring system based on optical time domain reflectometer. Then, based on the orthogonal design and even design scheme, this paper carries out a numerical experiment on the tunnel surrounding rock and establishes a regression model of the mapping relation between surrounding rock parameters of operation tunnel and the monitored displacement in order to set the difference between the monitored displacement and the calculated displacement as the fitness function. In the end, this paper carries out parameter identification based on the differential evolution algorithm. Achievements of the study proved that real-time safety warning could be realized inside the tunnel by monitoring the deformation parameters of tunnel vault at real time relying on the optical-fiber sensing system of the optical time domain reflectometer (OTDR). Parameters identification was carried out on the structure with differential evolution according to measured data and selected parameters, and great coincidence was obtained between the measured displacement and the identified parameters displacement, which proved the strong adaptability of the method.