[1]熊文,万毅宏,侯训田,等.声发射信号预测山体滑坡基础性试验研究[J].东南大学学报(自然科学版),2016,46(1):184-190.[doi:10.3969/j.issn.1001-0505.2016.01.030]
 Xiong Wen,Wan Yihong,Hou Xuntian,et al.Fundamental experiments on landslide prediction based on acoustic emission monitoring[J].Journal of Southeast University (Natural Science Edition),2016,46(1):184-190.[doi:10.3969/j.issn.1001-0505.2016.01.030]
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声发射信号预测山体滑坡基础性试验研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
46
期数:
2016年第1期
页码:
184-190
栏目:
交通运输工程
出版日期:
2016-01-20

文章信息/Info

Title:
Fundamental experiments on landslide prediction based on acoustic emission monitoring
作者:
熊文1万毅宏2侯训田2叶见曙1
1东南大学交通学院, 南京 210096; 2浙江省公路管理局, 杭州 310009
Author(s):
Xiong Wen1 Wan Yihong2 Hou Xuntian2 Ye Jianshu1
1School of Transportation, Southeast University, Nanjing 210096, China
2Highway Administration Bureau of Zhejiang Province, Hangzhou 310009, China
关键词:
声发射 山体滑坡 岩石样本 基础性试验
Keywords:
acoustic emission landslide rock specimen fundamental experiments
分类号:
U447
DOI:
10.3969/j.issn.1001-0505.2016.01.030
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:
Rock specimens, sampled in field and re-shaped, were loaded by a shear force in the laboratory as a deep beam using a three-point loading method. Five cases were conducted, including the variable loading rate case, constant loading rate case, variable limit state case, variable surrounding case, and variable size case, to simulate the landslide under different conditions. The acoustic emission(AE)signals during the cracking were real-timely recorded by AE sensors and were used to create time-variant AE signal curves of different positions. By observing the characters of AE signal curves, the different cracking stages of the rock specimens could be clearly identified. The experimental results show that the monitored AE signals can provide enough information to predict the failure points during the landslide based on proper placement of AE sensors, which can further be regarded as the estimation basis to predict the early shape of the landslide.

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备注/Memo

备注/Memo:
收稿日期: 2015-07-08.
作者简介: 熊文(1982—),男,博士,副教授,wxiong@seu.edu.cn.
基金项目: 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).
引用本文: 熊文,万毅宏,侯训田,等.声发射信号预测山体滑坡基础性试验研究[J].东南大学学报(自然科学版),2016,46(1):184-190. DOI:10.3969/j.issn.1001-0505.2016.01.030.
更新日期/Last Update: 2016-01-20