防灾减灾工程学报2025，Vol.45Issue(2)：307-316,10.DOI:10.13409/j.cnki.jdpme.20241203002
岩土振动信号分布式光纤监测的离散元建模研究
Research on Discrete Element Modeling of Distributed Optical Fiber Monitoring of Geotechnical Vibration Signals
摘要
Abstract
Distributed acoustic sensing(DAS)can obtain real-time vibration signals from engineering events,and identifying these signal characteristics facilitates early warning and prevention of engineer-ing disasters.To systematically investigate the characteristics of DAS signals under different condi-tions,a DAS monitoring model for geotechnical vibration signals was established using the high-per-formance discrete element method(DEM)software,MatDEM.The elastic Clump model was em-ployed to construct optical fiber structures and record relative strain data in real time.By integrating DAS vibration signal data from field drop-weight impact tests,the model´s validity and effectiveness were verified from three aspects:time-domain characteristics,frequency-domain characteristics,and variation patterns of signals influenced by vibration source parameters.The results demonstrated con-sistency between simulated and experimental signal characteristics.The signal waveforms consistently exhibited a single-peak pattern with rapid attenuation.Signal frequencies were concentrated,and am-plitudes gradually decreased with increasing frequency.As the drop height and mass of the impact weight increased,the signal amplitudes and corresponding signal-to-noise ratios increased.This model can be used for research on vibration mechanism characteristics and for generating large-scale datasets of vibration signals,thereby facilitating further interpretation of DAS signals and their recognition through artificial intelligence technology.关键词
离散元法/数值模拟/分布式监测/振动信号/时域分析/频域分析Key words
discrete element method/numerical simulation/distributed monitoring/vibration signal/time-domain analysis/frequency-domain analysis分类
天文与地球科学引用本文复制引用
王艺澄,闵寅通,刘春,李万翀..岩土振动信号分布式光纤监测的离散元建模研究[J].防灾减灾工程学报,2025,45(2):307-316,10.基金项目
省级大学生创新创业训练计划支持项目(202410284190Y)、国家自然基金项目(4222707、42477211)资助 （202410284190Y）
