摘要
边坡岩块体从稳定状态变为不稳定状态的过程中,其动力学指标会发生显著变化,因此,引入合适的动力学指标是实现危岩体精准识别的关键。引入时域、频域以及能量等6种动力学指标,采用PSO-SVM算法开展危岩体识别方法实验与工程应用研究。实验结果表明,相比较于时域动力学指标与时频域双动力学指标的危岩体识别模型,基于多层次动力学指标的危岩体识别模型的预测效果最好,其均方误差MSE=0.004772,相关系数平方R~2=0.984865。因此,应用时域、频域与能量的多层次动力学指标的危岩体识别方法,可实现危岩体的准确定量分析。数据分析得出,6种动力学指标的识别敏感性重要性排序依次为均方频率>裕度指标>第一频带相对能量>重心频率>冲击能量>脉冲指标。研究为工程现场更好开展危岩体的勘察识别工作提供相对丰富的敏感性动力学监测指标,进而有助于建立一套基于大数据分析的危岩体识别方法,从而满足高山峡谷地区崩塌灾害防灾减灾工作的现实需求。
In the process of slope rock mass from stable state to unstable state,the dynamic index will change significantly.Therefore,the introduction of appropriate dynamic index is the key to realize the accurate identification of unstable rock mass.In this study,six dynamic indexes such as time domain,frequency domain and energy index are introduced,and the PSO-SVM algorithm is used to carry out the experimental study on the identification method of unstable rock mass.The results show that compared with the identification model of unstable rock mass with single dynamic index in time domain and double dynamic index in time domain and frequency domain,the prediction effect of the identification model of unstable rock mass based on multi-level dynamic index is the best,with MSE of 0.004772 and R~2 of 0.984865.Therefore,the accurate quantitative analysis of unstable rock mass can be realized by using the identification method of unstable rock mass with a variety of sensitive dynamic indicators.According to the statistical analysis,the importance order of identification sensitivity of six dynamic indicators is the mean square frequency>the margin index>the relative energy of the first frequency band>the center frequency>the impact energy>the pulse index.The study provides a relatively rich and sensitive dynamic monitoring index for the identification of unstable rock mass in the engineering site,which is helpful to establish a set of unstable rock identification method based on big data analysis,so as to meet the practical needs of disaster prevention and mitigation of collapse disasters in alpine valley areas.
作者
霍磊晨
杜岩
谢谟文
刘卫南
张晓勇
贾北凝
丛晓明
HUO Leichen;DU Yan;XIE Mowen;LIU Weinan;ZHANG Xiaoyong;JIA Beining;CONG Xiaoming(Beijing Key Laboratory of Urban Underground Space Engineering,University of Science and Technology Beijing,Beijing 100083,China;Comprehensive Institute of Geotechnical Investigation and Surveying,Ministry of Construction,Beijing 100007,China)
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2022年第S02期3124-3131,共8页
Chinese Journal of Rock Mechanics and Engineering
基金
国家重点研发计划项目(2018YFE0101100)
国家自然科学基金资助项目(41702371)
中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室开放基金课题(SKLGDUEK2130)
关键词
岩石力学
崩塌
危岩体
动力学指标
识别方法
地质灾害预防
rock mechanics
rock collapse
unstable rock mass
dynamic parameter
identification method
prevention of geological disasters
作者简介
霍磊晨(1998-),男,2020年毕业于湖南农业大学水利与土木工程学院,现为硕士研究生,主要从事岩土工程和土木工程防灾减灾方面的研究工作。E-mail:409530240@qq.com;通讯作者:杜岩(1985-),男,现任副教授、硕士生导师。E-mail:mutulei@163.com
