基于小波-云模型的地下洞室围岩变形监控指标拟定  

Establishment of Monitoring Indicators for Underground Cavern Based on Wavelet and Cloud Model

作　　者：吕小龙 景来红 王玉杰[3] 翟利军 杨喜清 L Xiaolong;JING Laihong;WANG Yujie;ZHAI Lijun;YANG Xiqing(Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003,Henan,China;Key Laboratory of Water Management and Water Security for Yellow River Basin,Ministry of Water Resources,Zhengzhou 450003,Henan,China;Department of Geotechnical Engineering,China Institute of Water Resources and Hydropower Research,Beijing 100048,China)

机构地区：[1]黄河勘测规划设计研究院有限公司,河南郑州450003 [2]水利部黄河流域水治理与水安全重点实验室(筹),河南郑州450003 [3]中国水利水电科学研究院岩土工程研究所,北京100048

出　　处：《水力发电》2023年第11期48-51,78,共5页Water Power

基　　金：国家重点研发计划资助项目(2022YFC3202400);河南省博士后经费资助项目(202002081);黄河设计公司博士后研究开发项目(2020BSHZL03)。

摘　　要：为实现对大型地下洞室围岩变形的安全预警,提出一种基于小波-云模型的地下洞室围岩变形监控指标拟定方法。根据噪声与真实信号在频域上强度差异大的特点,采用小波去噪对围岩变形速率进行软阈值化处理;再充分考虑监测数据的随机性和模糊性,采用基于云模型的“3 E n规则”确定监控指标;最后以某大型地下洞室为例,对比了小波-云模型和典型小概率法的计算结果。结果表明,基于小波-云模型拟定的监控指标,不仅满足围岩向临空面方向变形大于向岩体内部变形的基本要求,且充分考虑了数据噪声的影响,亦无需事先假定样本的概率密度函数,计算结果更具客观性和合理性。In order to implement the safety warning of surrounding rock deformation of large underground caverns,a method based on wavelet and cloud model is proposed to determine the monitoring indicators of surrounding rock deformation of underground caverns.Firstly,based on the large difference of strength between noise and real signal in frequency domain,the wavelet de-noising is used to process the deformation rate of surrounding rock.Then the randomness and fuzziness of the monitoring data are fully considered,and the"3 E n rules"based on the cloud model are used to determine the monitoring indicators.Finally,taking a large underground cavern as an example,the calculation results of wavelet-cloud model and typical small probability method are compared.The results show that the monitoring indicators proposed based on wavelet-cloud model not only meets the basic requirement that the deformation of surrounding rock towards the free face direction is greater than the deformation towards the interior of rock mass,but also considers the influence of data noise and does not need to assume the probability density function of samples in advance.The calculation results of proposed model are objective and reasonable.

关 键 词：地下洞室 围岩变形 监控指标 小波降噪 云模型 

分 类 号：TU45[建筑科学—岩土工程]