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Indexed by:期刊论文

Date of Publication:2017-03-01

Journal:MEASUREMENT

Included Journals:SCIE、EI、Scopus

Volume:100

Page Number:68-71

ISSN No.:0263-2241

Key Words:Collapse prediction of karat sinkhole; Distributed optical fiber sensor; AR model; Time-series data

Abstract:Karst sinkhole collapse is one of the most serious failure modes in railway subgrade, which often leads to dangerous operation and disaster throughout the world. Karst sinkhole has the characteristics of strong insidious and wide spatial distribution, the common collapse monitoring and prediction methods cannot work well. In this paper, the distributed Brillouin optical fiber sensor was proposed to measure the sinkhole collapse strain, a long-term monitoring model test for sinkhole collapse was conducted which can provide the distributed collapse time-series strain. Based on the time-series data, an AR(2) sinkhole collapse model was constructed, and test results shows that the AR(2) model can predict the sinkhole collapse well from the test results. (C) 2016 Elsevier Ltd. All rights reserved.