基于改进的灰评估模型在岩爆中的预测研究

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (233 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Rockburst is a complicated dynamic instability phenomenon during the rock excavation of deep rock masses in high in-situ stress zone. It is affected by many factors，and the roles of various factors in the formation process of rockburst are not yet clear. Then，the complex relationship between rockburst and its influencing factors is considered as a grey system，which can be studied by the grey clustering method. According to the causes of rockburst and its characteristics，the main factors of rockburst，which are the maximum tangential stress of the cavern wall ，uniaxial compressive strength ，uniaxial tensile strength and the elastic energy index of rock ，are chosen in the analysis. Moreover，the evaluation indexes including the stress coefficient of rock / ，the brittleness coefficient of rock / ，and the elastic energy index of rock are used to establish the modified grey evaluation model for rockburst prediction through the optimization of grey whitenization weight function. Compared with the traditional grey evaluation model，the modified model doesn?t have the crossing properties of grey cluster and meets the normality well，which is more reasonable in theory. Based on the rockburst data of some deep rock projects at home and abroad，the modified model is adopted to predict the possibility and classification of rockburst. Compared with the traditional model，the prediction error of the modified model is smaller. In addition，the prediction results of the modified model are close to the practical records，which proves that the model is effective and available. Therefore，the proposed method provides a practical way to accurately predict the possibility and classification of rockburst in deep underground engineering.

Key words： rock mechanics rockburst high in-situ stress grey system grey clustering method prediction

Received: 03 June 2013

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

https://rockmech.whrsm.ac.cn/EN/Y2013/V32/I10/2088

[1] 徐桂生，王兰生，李永林. 岩爆形成机制与判据研究[J]. 岩土力学，2002，23(3)：300–303.(XU Guisheng，WANG Lansheng，LI Yonglin. Study on mechanism and judgment of rockbursts[J]. Rock and Soil Mechanics，2002，23(3)：300–303.(in Chinese)) [2] 齐庆新，陈尚本，王怀新，等. 冲击地压、岩爆、矿震的关系及其数值模拟研究[J]. 岩石力学与工程学报，2003，22(11)：1 852–1 858. (QI Qingxin，CHEN Shangben，WANG Huaixin，et al. Study on the relations among coal bump，rockburst and mining tremor with numerical simulation[J]. Chinese Journal of Rock Mechanics and Engineering，2003，22(11)：1 852–1 858.(in Chinese)) [3] 张镜剑，傅冰骏. 岩爆及其判据和防治[J]. 岩石力学与工程学报，2008，27(10)：2 034–2 042.(ZHANG Jingjian，FU Bingjun. Rockburst and its criteria and control[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(10)：2 034–2 042.(in Chinese)) [4] FENG X T，WEBBER S，OZBAY M U，et al. An expert system on assessing rockburst risks for South African deep gold mines[J]. Journal of Coal Science and Engineering(China)，1996，(2)：23–32. [5] 王元汉，李卧东，李启光，等. 岩爆预测的模糊数学综合评判方法[J]. 岩石力学与工程学报，1998，17(5)：493–501.(WANG Yuanhan，LI Wodong，LI Qiguang，et al. Method of fuzzy comprehensive evaluations for rockburst prediction[J]. Chinese Journal of Rock Mechanics and Engineering，1998，17(5)：493–501.(in Chinese)) [6] FENG X T，WEBBER S，OZBAY M U，et al. Neural network assessment of rockburst risks for deep gold mines in South Africa[J]. Transactions of Nonferrous Metals Society of China，1998，8(2)：335–341. [7] 冯夏庭. 智能岩石力学导论[M]. 北京：科学出版社，2000：290–294.(FENG Xiating. Introduction to intelligent rock mechanics[M]. Beijing：Science Press，2000：290–294.(in Chinese)) [8] 丁向东，吴继敏，李健，等. 岩爆分类的人工神经网络预测方法[J]. 河海大学学报：自然科学版，2003，31(4)：424–427.(DING Xiangdong，WU Jimin，LI Jian，et al. Artificial neural network for forecasting and classification of rockbursts[J]. Journal of Hohai University：Natural Science，2003，31(4)：424–427.(in Chinese)) [9] CHEN H J，LI N H，NIE D X，et al. Prediction of rockburst by artificial neural network[J]. Chinese Journal of Rock Mechanics and Engineering，2003，22(5)：762–768. [10] 宫凤强，李夕兵. 岩爆发生和烈度分级预测的距离判别方法及应用[J]. 岩石力学与工程学报，2007，26(5)：1 012–1 018.(GONG Fengqiang，LI Xibing. A distance discriminant analysis method for prediction of possibility and classification of rockburst and its application[J]. Chinese Journal of Rock Mechanics and Engineering，2007，26(5)：1 012–1 018.(in Chinese)) [11] 赵洪波. 岩爆分类的支持向量机方法[J]. 岩土力学，2005，26(4)：642–644.(ZHAO Hongbo. Classification of rockburst using support vector machine[J]. Rock and Soil Mechanics，2005，26(4)：642–644. (in Chinese)) [12] 史秀志，周健，董蕾，等. 未确知测度模型在岩爆烈度分级预测中的应用[J]. 岩石力学与工程学报，2010，29(增1)：2 720–2 726. (SHI Xiuzhi，ZHOU Jian，DONG Lei，et al. Application of unascertained measurement model to prediction of classification of rockburst intensity[J]. Chinese Journal of Rock Mechanics and Engineering，2010，29(Supp.1)：2 720–2 726.(in Chinese)) [13] 刘思峰，党耀国，方志耕，等. 灰色系统理论及其应用[M]. 5版. 北京：科学出版社，2010：1–8.(LIU Sifeng，DANG Yaoguo，FANG Zhigeng，et al. Grey system theory and its application[M]. 5th ed. Beijing：Science Press，2010：1–8.(in Chinese)) [14] 姜彤，黄志全，赵彦彦. 动态权重灰色归类模型在南水北调西线工程岩爆风险评估中的应用[J]. 岩石力学与工程学报，2004，23(7)：1 104–1 108.(JIANG Tong，HUANG Zhiquan，ZHAO Yanyan. Dynamically weighted grey optimization model for rockburst risk forecasting and its application to western route of South-to-North Water Transfer Project[J]. Chinese Journal of Rock Mechanics and Engineering，2004，23(7)：1 104–1 108.(in Chinese)) [15] 谢学斌，潘长良. 岩爆灾害的灰类白化权函数聚类预测方法[J]. 湖南大学学报：自然科学版，2007，34(8)：16–20.(XIE Xuebin，PAN Changliang. Rockburst prediction method based on grey whitenization weight function cluster theory[J]. Journal of Hunan University：Natural Sciences，2007，34(8)：16–20.(in Chinese)) [16] 赵继印，郑蕊蕊，刘宇. 基于梯形灰色聚类分析的电力变压器故障诊断[J]. 吉林大学学报：工学版，2008，(3)：726–730.(ZHAO Jiyin，ZHENG Ruirui，LIU Yu. Power transformer fault diagnosis based on trapezium gray clustering analysis[J]. Journal of Jilin University：Engineering and Technology，2008，(3)：726–730.(in Chinese)) [17] 谷明成，何发亮，陈成宗. 秦岭隧道岩爆的研究[J]. 岩石力学与工程学报，2002，21(9)：1 324–1 329.(GU Mingcheng，HE Faliang，CHEN Chengzong. Study on rockburst in Qinling Tunnel[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(9)：1 324–1 329.(in Chinese))