基于时频域动力学参量的危岩体识别方法

doi:10.13722/j.cnki.jrme.2021.0337

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (896 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract When the engineering construction is carried out in the mountainous and gorge area，it is of great significance to identify unstable rock mass quickly and accurately. In the study，7 stable rock mass cases and 8 unstable rock mass cases were preset by the freezing test method，and the Laser Doppler Vibrometer is used to obtain the vibration monitoring data. Based on the support vector machine algorithm，the method of rapid identification for unstable rock mass by time domain and frequency domain dynamic index is presented. The experimental results show that the identification method based on absolute mean and mean square frequency has an accuracy rate of 100%，which is better than that based on single dynamic index. By introducing a variety of dynamic monitoring indexes，the reasonable and effective identification of unstable rock mass can be better realized. The study provides a new remote sensing technology support for the verification of unstable rock，thus can enrich the multi-source geological survey technical system integrated a full range of space-air-ground detection technologies，and provide a reference for better response to rock collapse disasters in high-risk areas such as Sichuan—Tibet Railway.

Key words： rock mechanics unstable rock remote sensing identification dynamic index prevention of geological disasters

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	HUO Leichen1
	DU Yan1
	XIE Mowen1
	ZHANG Xiaoyong1
	JIA Beining2
	CONG Xiaoming2

Cite this article:

HUO Leichen1,DU Yan1,XIE Mowen1, et al. Unstable rock mass identification method based on time and frequency domain dynamic parameters#br#[J]. , 2021, 40(S2): 3156-3162.

URL:

http://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2021.0337 OR http://rockmech.whrsm.ac.cn/EN/Y2021/V40/IS2/3156

[2]	FAN X M，XU Q，SCARINGI G，et al. Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide，Maoxian，Sichuan，China[J]. Landslides，2017，14(6)：2 129-2 146.
[15]	杜岩，谢谟文，蒋宇静，等. 基于动力学监测指标的崩塌早期预警研究进展[J]. 工程科学学报，2019，41(4)：427-435.(DU Yan，XIE Mowen，JIANG Yujing，et al．Research progress on dynamic monitoring index for early warning of collapse[J]. Chinese Journal of Engineering，2019，41(4)：427-435.(in Chinese))
[25]	杜岩，谢谟文，蒋宇静，等. 岩体崩塌灾害成因机制与早期预警研究综述[J]. 金属矿山，2021，(1)：106-119.(DU Yan，XIE Mowen，JIANG Yujing，et al. Review on the formation mechanism and early warning of rock collapse[J]. Metal Mine，2021，(1)：106-119.(in Chinese))
[5]	LI H B，YANG X G，SUN H L，et al. Monitoring of displacement evolution during the pre-failure stage of a rock block using ground-based radar interferometry[J]. Landslides，2019，16(9)：1 721-1 730.
[7]	葛大庆，戴可人，郭兆成，等. 重大地质灾害隐患早期识别中综合遥感应用的思考与建议[J]. 武汉大学学报：信息科学版，2019，44(7)：949-956.(GE Daqing，DAI Keren，GUO Zhaocheng，et al. Early identification of serious geological hazards with integrated remote sensing technologies：thoughts and recommendations[J]. Geomatics and Information Science of Wuhan University，2019，44(7)：949-956.(in Chinese))
[9]	万天同. 基于无人机倾斜摄影技术的高陡危岩体稳定性分析研究[硕士学位论文][D]. 郑州：华北水利水电大学，2020.(WAN Tiantong. Stability analysis of high steep and dangerous rock mass based on UAV oblique photography technology[M. S. Thesis][D]. Zhengzhou：North China University of Water Resources and Electric Power，2020.(in Chinese))
[10]	杜岩，霍磊晨，谢谟文，等. 危岩体崩塌灾害监测预警试验研究[J]. 力学学报，2021，53(4)：1 212-1 221.(DU Yan，HUO Leichen，XIE Mowen，et al. Monitoring and early warning experiment of rock collapse[J]. Chinese Journal of Theoretical and Applied Mechanics，2021，53(4)：1 212-1 221.(in Chinese))
[8]	许强，董秀军，李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报：信息科学版，2019，44(7)：957-966.(XU Qiang，DONG Xiujun，LI Weile. Integrated space-air-ground early detection，monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University，2019，44(7)：957-966.(in Chinese))
[23]	COSTANTINI M，FERRETTI A，MINATI F，et al. Analysis of surface deformations over the Whole Italian Territory by interferometric processing of ERS，Envist and COSMO-SkyMed radar data[J]. Remote Sensing of Environment，2017，202：250-275.
[6]	KUMAR S S，SIMIT R，PRATAP B B. Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning[J]. Engineering Geology，2021，285：106040.
[21]	谢谟文，胡嫚，杜岩，等. TLS技术及其在滑坡监测中的应用进展[J]. 国土资源遥感，2014，26(3)：8-15.(XIE Mowen，HU Man，DU Yan，et al. Application of TLS technique to landslide monitoring：Summarization and prospect[J]. Remote Sensing for Land and Resources，2014，26(3)：8-15.(in Chinese))
[1]	薛翊国，孔凡猛，杨为民，等. 川藏铁路沿线主要不良地质条件与工程地质问题[J]. 岩石力学与工程学报，2020，39(3)：445-468.(XUE Yiguo，KONG Fanmeng，YANG Weimin，et al. Main unfavorable geological conditions and engineering geological problems along Sichuan—Tibet railway[J]. Chinese Journal of Rock Mechanics and Engineering，2020，39(3)：445-468.(in Chinese))
[3]	LAMBERT C，THOENI K，GIACOMINI A，et al. Rockfall hazard analysis from discrete fracture network modelling with finite persistence discontinuities[J]. Rock Mechanics and Rock Engineering，2012，45(5)：871-884.
[4]	FANOS A M，PRADHAN B. A novel rockfall hazard assessment using laser scanning data and 3D modelling in GIS[J]. Catena，2019，172(6)：435-450.
[19]	杜岩，谢谟文，蒋宇静，等. 基于固有振动频率的危岩安全监测试验研究[J]. 岩土力学，2016，37(10)：3 035-3 040.(DU Yan，XIE Mowen，JIANG Yujing，et al. Safety monitoring experiment of unstable rock based on natural vibration frequency[J]. Rock and Soil Mechanics，2016，37(10)：3 035-3 040.(in Chinese))
[11]	AMITRANO D，GRASSO J R，SENFAUTE G. Seismic precursory patterns before a cliff collapse and critical point phenomena[J]. Geophysical Research Letters，2005，32(8)：08314.
[16]	杜岩，谢谟文，蒋宇静，等. 应用激光多普勒测振仪的岩块体累计损伤评价试验研究[J]. 工程科学学报，2017，39(1)：141-146.(DU Yan，XIE Mowen，JIANG Yujing，et al. Experimental study on cumulative damage assessment of rock-block using a laser Doppler vibrometer[J]. Chinese Journal of Engineering，2017，39(1)：141-146.(in Chinese))
[26]	杜岩，陆永都，谢谟文，等. 基于激光多普勒测振的危岩体岩桥长度测量[J]. 煤炭学报，2019，44(增2)：560-565.(DU Yan，LU Yongdu，XIE Mowen，et al. Measurement of rock bridge length of unstable rock based on laser doppler vibrometer[J]. Journal of China Coal Society，2019，44(Supp.2)：560-565.(in Chinese))
[12]	UEHAN F，MINOURA S. Development of an aerial survey system and numerical analysis modeling software for unstable rock blocks[J]. Quarterly Report of RTRI，2015，56(3) ：212-218.
[13]	JAN B，VALENTIN G，JEFFREY R M，et al. Ambient vibration characterization and monitoring of a rock slope close to collapse[J]. Geophysical Journal International，2018，212(1)：297-310.
[14]	DU Y，LU Y D，XIE M W，et al. A new attempt for early warning of unstable rocks based on vibration parameters[J]. Bulletin of Engineering Geology and the Environment，2020，79(8)：4 363-4 368.
[17]	BURGES C J C. A tutorial on support vector machines for pattern recognition[J]. Data Mining and Knowledge Discovery，1998，2(2)：121-167.
[18]	DU Y，XIE M W，JIANG Y J，et al. Experimental rock stability assessment using the frozen-thawing test[J]. Rock Mechanics and Rock Engineering，2017，50(4)：1 049-1 053.
[20]	ZHANG P. Research on optimal data selection technology of optical remote sensing satellite images[J]. Journal of Communications，2020，15(2)：185-191.
[22]	马晓雪，吴中海，李家存. LiDAR技术在地质环境中的主要应用与展望[J]. 地质力学学报，2016，22(1)：93-103.(MA Xiaoxue，WU Zhonghai，LI Jiacun，et al. LiDAR technology and its application and prospect in geological environment[J]. Journal of Geomechanics，2016，22(1)：93-103.(in Chinese))
[24]	DANIELA A S，RANJITH G，MIKKO K，et al. A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model[J]. International Journal of Applied Earth Observation and Geoinformation，2020，84：101954.
[27]	JIA B，WU Z X，DU Y. Real-time stability assessment of unstable rocks based on fundamental natural frequency[J]. International Journal of Rock Mechanics and Mining Sciences，2019，124(C)：104134.
[28]	杜岩，谢谟文，蒋宇静，等. 基于自振频率的监测预警指标确定方法[J]. 岩土力学，2015，36(8)：2 284-2 290.(DU Yan，XIE Mowen，JIANG Yujing，et al. Methods for determining early warning indices based on natural frequency monitoring[J]. Rock and Soil Mechanics，2015，36(8)：2 284-2 290.(in Chinese))