岩土振动信号分布式光纤监测的离散元建模研究OA北大核心

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.