声发射信号预测山体滑坡基础性试验研究

发布时间：2018-07-06 11:25

本文选题：声发射 + 山体滑坡　；参考：《东南大学学报(自然科学版)》2016年01期

【摘要】：对现场取样并二次加工的岩石样本采用深梁三点加载方式在5种工况(变速加载、匀速加载、破坏形态改变、加载环境改变以及尺寸改变)下进行剪切加载至破坏,以模拟岩体滑坡.进而基于声发射理论,利用声发射传感器对试验样本破坏全过程中的声发射信号进行实时采集,并形成相应位置的声发射信号随时间变化曲线.最终通过声发射信号曲线变化特征识别区分出岩石样本加载破坏整个过程中的不同阶段.试验结果证明,基于传感器合理布置位置,通过观察声发射信号曲线变化特征可以对山体滑坡面中关键点破坏的预警提供较好的判断依据,从而通过对多个关键点破坏位置的预警来预测滑坡面的早期形态,为今后声发射信号预测山体滑坡的工程应用提供试验基础.
[Abstract]:The rock samples sampled at the site and two times processed by the deep beam are loaded in 5 kinds of working conditions (variable speed loading, uniform loading, failure shape change, loading environment change and size change) to simulate the failure of the rock mass to simulate the landslide. Based on acoustic emission theory, the acoustic emission sensor is used to destroy the test sample The acoustic emission signal in the whole process is collected in real time, and the acoustic emission signal in the corresponding position is formed with the time change curve. Finally, the different stages of rock sample loading are separated through the characteristic identification area of the acoustic emission signal curve. The experimental results show that the acoustic emission based on the sensor is reasonably arranged and the acoustic emission is observed. The change characteristics of the signal curve can provide a good judgment basis for the early warning of the failure of the key points in the landslide surface, so as to predict the early form of the landslide surface by the early warning of the failure position of several key points, and provide the experimental basis for the future application of acoustic emission signal to predict the landslide in the mountain.
【作者单位】：东南大学交通学院;浙江省公路管理局;
【基金】：国家自然科学基金资助项目(51208097) 中央高校基本科研业务费专项资金资助项目浙江省交通运输厅科技计划资助项目(2012H38)
【分类号】：P642.22

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