Feasibility study on sinkhole monitoring with fiber optic strain sensing nerves  

作　　者：Yuxin Gao Honghu Zhu Liang Qiao Xifeng Liu Chao Wei Wei Zhang 

机构地区：[1]School of Earth Sciences and Engineering,Nanjing University,Nanjing,210023,China [2]Institute of Earth Exploration and Sensing,Nanjing University,Nanjing,210023,China

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2023年第11期3059-3070,共12页岩石力学与岩土工程学报（英文版）

基　　金：support provided by the National Natural Science Foundation of China(Grant Nos.42225702,and 42077232);the Open Research Project Program of the State Key Laboratory of Internet of Things for Smart City(University of Macao)(Grant No.SKL-IoTSC(UM)-2021-2023/ORP/GA10/2022).

摘　　要：Anthropogenic activity-induced sinkholes pose a serious threat to building safety and human life nowadays.Real-time detection and early warning of sinkhole formation are a key and urgent problem in urban areas.This paper presents an experimental study to evaluate the feasibility of fiber optic strain sensing nerves in sinkhole monitoring.Combining the artificial neural network(ANN)and particle image velocimetry(PIV)techniques,a series of model tests have been performed to explore the relationship between strain measurements and sinkhole development and to establish a conversion model from strain data to ground settlements.It is demonstrated that the failure mechanism of the soil above the sinkhole developed from a triangle failure plane to a vertical failure plane with increasing collapse volume.Meanwhile,the soil-embedded fiber optic strain sensing nerves allowed deformation monitoring of the ground soil in real time.Furthermore,the characteristics of the measured strain profiles indicate the locations of sinkholes and the associated shear bands.Based on the strain data,the ANN model predicts the ground settlement well.Additionally,micro-anchored fiber optic cables have been proven to increase the soil-to-fiber strain transfer efficiency for large deformation monitoring of ground collapse.

关 键 词：SINKHOLE Geotechnical monitoring Distributed fiber optic sensing(DFOS) Artificial neural network(ANN) Ground settlement Soil arching Micro-anchor 

分 类 号：TG1[金属学及工艺—金属学]