基于对穿声波波速的岩体完整性多尺度评价新指标与分析方法

doi:10.13722/j.cnki.jrme.2020.0181

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (697 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要岩体完整性是评价岩体质量的重要指标，弹性波勘探技术是实现这一目标的有效方法之一。为了克服传统评价过程中采用经验公式存在主观性过强和精细度不够的问题，基于岩体对穿声波波速数据，采用加权随机森林方法(weighted random forests，WRF)提出了一种新的多尺度岩体完整性评价指标(multi-scale rock mass integrity index，MRMII)和相应的分析方法。该指标综合考虑了不同孔深对穿声波波速、卸荷状况、水文地质、埋深和岩性等关键参数，由WRF模型预测结果中的各类岩体完整性所占比例计算得出。通过实际工程应用，MRMII值与勘探数据吻合良好，并且能够对岩体完整性进行不同尺度的精细化评价。此外，相较于传统弹性波测试方法，该指标可以减小测量误差和工程师经验不足对分类结果的影响，获得更适合指导工程建设的评价分析结果。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李明超1
	史博文1
	韩帅1
	王刚2

关键词 ：岩石力学, 岩体完整性, 评价指标, 对穿声波波速, 加权随机森林, 多尺度, 精细分级

Abstract：Rock mass integrity，which can be obtained effectively according P-wave velocity, is an important factor for evaluating rock mass quality. To overcome the problems of too much subjectivity and insufficient precision in the traditional evaluation process using empirical formulas，a new multi-scale rock mass integrity index(MRMII) and corresponding evaluation method are proposed based on weighted random forest(WRF) algorithm and P-wave velocity data. The MRMII，comprehensively considering various key parameters such as the P-wave velocity along the hole depth，unloading conditions，hydrogeology，buried depth and lithology，is calculated by the proportions of various rock mass integrality in WRF model prediction results. An actual engineering application shows that the calculation values of the MRMII are consistent with the field surveys，showing that the MRMII can be used to refine evaluation of rock mass integrity in different scales. In addition，compared with the traditional P-wave testing method，the MRMII can reduce the impact of measurement errors and insufficient engineer experience on classification results and obtain more suitable results for guiding engineering construction.

Key words： rock mechanics rock mass integrity evaluation index P-wave velocity weighted random forest multi-scale fine classification

引用本文:

李明超1，史博文1，韩帅1，王刚2. 基于对穿声波波速的岩体完整性多尺度评价新指标与分析方法[J]. 岩石力学与工程学报, 2020, 39(10): 2060-2068.
LI Mingchao1，SHI Bowen1，HAN Shuai1，WANG Gang2. New index and analysis method for multi-scale rock mass integrity assessment based on P-wave velocity. , 2020, 39(10): 2060-2068.

链接本文:

http://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2020.0181 或 http://rockmech.whrsm.ac.cn/CN/Y2020/V39/I10/2060

[31]	KAHRAMAN S. The correlations between the saturated and dry P-wave velocity of rocks[J]. Ultrasonics，2007，46(4)：341-348.
[26]	CHEN Q，YIN T. Integration of homogeneous structural region identification and rock mass quality classification[J]. Royal Society Open Science，2019，5：181353.
[2]	TERZAGHI K. Rock defects and loads on tunnel supports[M]. Massachusetts：Harvard University，1946：15－90.
[1]	蔡美峰，何满潮，刘东燕，等. 岩石力学与工程[M]. 北京：科学出版社，2002：119-127.(CAI Meifeng，HE Manchao，LIU Dongyan，et al. Rock mechanics and engineering[M]. Beijing：Science Press，2002：119-127.(in Chinese))
[4]	中华人民共和国国家标准编写组. GB50487—2008 水利水电工程地质勘察规范[S]. 北京：中国计划出版社，2009.(The National Standards Compilation Group of People's Republic of China. GB50487—2008 Code for engineering geological investigation of water resources and hydropower[S]. Beijing：China Planning Press，2009.(in Chinese))
[6]	BARTON N，LIEN R，LUNDE J. Engineering classification of rock masses for the design of tunnel support[J]. Rock Mechanics，1974，6(4)：189-236.
[8]	陈庆发，牛文静，郑文师，等. 裂隙岩体块体化程度评价方法的若干问题修正[J]. 岩土力学，2018，39(10)：3 727-3 734.(CHEN Qingfa，NIU Wenjing，ZHENG Wenshi，et al. Correction of the problems of blockiness evaluation method for fractured rock mass[J]. Rock and Soil Mechanics，2018，39(10)：3 727-3 734.(in Chinese))
[9]	马超锋，李晓，成国文，等. 工程岩体完整性评价的实用方法研究[J]. 岩土力学，2010，31(11)：3 579-3 584.(MA Chaofeng，LI Xiao，CHENG Guowen，et al. Study of practical approach to assess integrality of engineering rock mass[J]. Rock and Soil Mechanics，2010，31(11)：3 579-3 584.(in Chinese))
[11]	喻勇，蔡斌. 湖南渫水皂市水利枢纽工程岩体分级[J]. 岩石力学与工程学报，2001，20(增)：1 889-1 892.(YU Yong，CAI Bin. Engineering classification of rock mass for Hunan Zaoshi water conservancy project[J]. Chinese Journal of Rock Mechanics and Engineering，2001，20(Supp.)：1 889-1 892.(in Chinese))
[16]	张程远，万文恺，王爽，等. 基于岩体完整性评价的超声-地震波速度跨尺度转换方法研究[J]. 岩石力学与工程学报，2018，37(11)：16-26.(ZHANG Chenyuan，WAN Wenkai，WANG Shuang，et al. Conversion method from ultrasonic to seismic velocity based on rockintegrity assessment[J]. Chinese Journal of Rock Mechanics and Engineering，2018，37(11)：16-26.(in Chinese))
[18]	张艳博，王科学，姚旭龙，等. 基于波速场成像技术的岩石损伤评价研究[J]. 岩石力学与工程学报，2019，38(12)：2 404-2 417. (ZHANG Yanbo，WANG Kexue，YAO Xulong，et al. Rock damage evaluation based on wave velocity field imaging technology[J]. Chinese Journal of Rock Mechanics and Engineering，2019，38(12)：2 404-2 417.(in Chinese))
[19]	MOHD-NORDIN M M，SONG K I，CHO G C，et al. Long- wavelength elastic wave propagation across naturally fractured rock masses[J]. Rock Mechanics and Rock Engineering，2014，47(2)：561-573.
[21]	FALLS S D，YOUNG R P. Acoustic emission and ultrasonic-velocity methods used to characterise the excavation disturbance associated with deep tunnels in hard rock[J]. Tectonophysics，1998，289(1-3)：1-15.
[12]	邬爱清，柳赋铮. 国标《工程岩体分级标准》的应用与进展[J]. 岩石力学与工程学报，2012，31(8)：1 513-1 523.(WU Aiqing，LIU Fuzheng. Advancement and application of the standard of engineering classification of rock masses[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(8)：1 513-1 523.(in Chinese))
[22]	BASARIR H. Prediction of rock mass P wave velocity using blasthole drilling information[J]. International Journal of Mining，Reclamation and Environment，2019，33(1)：61-74.
[24]	GHOLAMI R，RASOULI V，ALIMORADI A. Improved RMR rock mass classification using artificial intelligence algorithms[J]. Rock Mechanics and Rock Engineering，2013，46(5)：1 199-1 209.
[28]	PALMSTROM A. Measurements of and correlations between block size and rock quality designation(RQD)[J]. Tunnelling and Underground Space Technology，2005，20(4)：362-377.
[29]	李绍红，王少阳，吴礼舟. 基于MCS-TOPSIS耦合模型的岩体质量分类研究[J]. 岩石力学与工程学报，2017，36(5)：1 053-1 062. (LI Shaohong，WANG Shaoyang，WU Lizhou. Quality classification of rock mass based on MCS-TOPSIS coupling model[J]. Chinese Journal of Rock Mechanics and Engineering，2017，36(5)：1 053-1 062.(in Chinese))
[32]	陈祥，孙进忠，张杰坤，等. 岩块波速-应力关系及其卸荷效应[J]. 岩土工程学报，2011，32(5)：757-761.(CHEN Xiang，SUN Jinzhong，ZHANG Jiekun，et al. Relation between P-wave velocity and stress of rock samples and their unloading effect[J]. Chinese Journal of Geotechnical Engineering，2011，32(5)：757-761.(in Chinese))
[34]	陈禹，毛莺池. 基于随机森林和遗传算法的Ceph参数自动调优[J]. 计算机应用，2020，40(2)：347-351.(CHEN Yu，MAO Yingchi. Automatic tuning of Ceph parameters based on random forest and genetic algorithm[J]. Journal of Computer Application，2020，40(2)：347-351.(in Chinese))
[14]	胡文涛，张县志. 论工程岩体完整性的评价方法[J]. 西安工程学院院报，2001，23(3)：50-54.(HU Wentou，ZHANG Xianzhi. Evaluating ways about the integrity of engineering rock mass[J]. Journal of Xi¢an Engineering University，2001，23(3)：50-54.(in Chinese))
[10]	邬爱清，徐平，徐春敏，等. 三峡工程地下厂房围岩稳定性研究[J]. 岩石力学与工程学报，2001，20(5)：690-695.(WU Aiqing，XU Ping，XU Chunmin，et al. Researches on stability for surrounding rock masses of underground powerhouse in the Three Gorges project[J]. Chinese Journal of Rock Mechanics and Engineering，2001，20(5)：690-695.(in Chinese))
[20]	李静，查明，刘震. 基于声波测井资料的地应力分布研究——以饶阳凹陷任北奥陶系潜山为例[J]. 岩土力学，2011，32(9)： 2 765-2 770.(LI Jing，ZHA Ming，LIU Zhen. Research on crustal stress distribution based on acoustic logging data——Taking North Region of Renqiu Ordovician Buried Hill of Raoyang Depression for example[J]. Rock and Soil Mechanics，2011，32(9)：2 765-2 770.(in Chinese))
[30]	DOMENICO S N. Rock lithology and porosity determination from shear and compressional wave velocity[J]. Geophysics，1984，49(8)：1 188-1 195.
[7]	BIENIAWSKI Z T. Determining rock mass deformability：experience from case histories[J]. International Journal of rock Mechanics and Mining Sciences and Geomechanics Abstracts，1978，15(5)：237-247.
[17]	周元辅，邓建辉. 基于纵波波速的块状岩体GSI系统[J]. 岩石力学与工程学报，2016，35(5)：948-956.(ZHOU Yuanfu，DENG Jianhui. GSI system for rock blocks based on longitudinal wave velocity[J]. Chinese Journal of Rock Mechanics and Engineering，2016，35(5)：948-956.(in Chinese))
[27]	ZHANG L Y. Determination and applications of rock quality designation (RQD)[J]. Journal of Rock Mechanics and Geotechnical Engineering，2016，8(3)：389-397.
[5]	DEERE D U. Technical description of rock cores for engineering purpose[J]. Rock Mechanics and Engineering Geology，1964，1(1)：17-22.
[15]	BOLDINI D，BRUNO R，EGGER H，et al. Statistical and geostatistical analysis of drilling parameters in the Brenner base tunnel[J]. Rock Mechanics and Rock Engineering，2018，51(6)：1 955-1 963.
[25]	MERT E，YILMAZ S，?NAL M. An assessment of total RMR classification system using unified simulation model based on artificial neural networks[J]. Neural Computing and Applications，2011，20(4)：603-610.
[35]	陈旭，俞缙，李宏，等. 不同岩性及含水率的岩石声波传播规律试验研究[J]. 岩土力学，2013，34(9)：3 727-3 734.(CHEN Xu，YU Jin，LI Hong，et al. Experimental study of propagation characteristics of acoustic wave in rocks with different lithologies and water contents[J]. Rock and Soil Mechanics，2013，34(9)：3 727-3 734.(in Chinese))
[3]	中华人民共和国国家标准编写组. GB/T 50218—2014工程岩体分级标准[S]. 北京：中国计划出版社，2015.(The National Standards Compilation Group of People¢s Republic of China. GB/T 50218—2014 Standard for engineering classification of rock masses[S]. Beijing：China Planning Press，2015.(in Chinese))
[13]	PELLS P J，BIENIAWSKI Z T，HENCHER S R，et al. Rock quality designation(RQD)：time to rest in peace[J]. Canadian Geotechnical Journal，2017，54(6)：825-834.
[23]	RAD H N，JALALI Z，JALALIFAR H. Prediction of rock mass rating system based on continuous functions using Chaos-ANFIS model[J]. International Journal of Rock Mechanics and Mining Sciences，2015，73：1-9.
[33]	BREIMAN L. Random forests[J]. Machine Learning，2001，45(1)：5-32.