A comprehensive evaluation model for rockburst risk prediction based on analytic hierarchy process and probabilistic optimization

CORC > 武汉岩土力学研究所 > 中科院武汉岩土力学所 > 岩土力学所知识全产出 > 会议论文

	A comprehensive evaluation model for rockburst risk prediction based on analytic hierarchy process and probabilistic optimization
	Feng, G. L.; Feng, X. T.; Chen, B. R.; Xiao, Y. X.; Ming, H. J.
	2012
会议日期	OCT 14-16, 2011
会议地点	Beijing, PEOPLES R CHINA
页码	869-874
英文摘要	The rockburst problems cause serious casualties and economic loss and become a major disaster in the field of industrial safety. According to the shortcomings both of the single assessment index and the comprehensive evaluation methods for rockburst prediction at present, and considering the randomness and relative accuracy of basic factors in geotechnical engineering, a comprehensive evaluation model for rockburst risk prediction on the base of analytic hierarchy process and probabilistic optimization is put forward. The model adopts multiclass indexes and a normalized thinking, coupled with the combination of qualitative and quantitative analysis. It can predict not only the intensity grade but also the occurring probability of rockburst. Moreover, a method with extended application including its condition is presented to make the model more applicable. The model is applied to deep-buried tunnel section of auxiliary tunnels of Jinping II hydropower station. The result shows that this model is more than available, but also comprehensive, simple and convenient.
源文献作者	Cai, M
会议录	ROCK MECHANICS: ACHIEVEMENTS AND AMBITIONS
会议录出版者	CRC PRESS-TAYLOR & FRANCIS GROUP
会议录出版地	BOCA RATON
语种	英语
WOS研究方向	Engineering
WOS记录号	WOS:000347395400160
内容类型	会议论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/4662]
专题	岩土力学所知识全产出_会议论文国家重点实验室知识产出_会议论文
作者单位	Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn
推荐引用方式 GB/T 7714	Feng, G. L.,Feng, X. T.,Chen, B. R.,et al. A comprehensive evaluation model for rockburst risk prediction based on analytic hierarchy process and probabilistic optimization[C]. 见:. Beijing, PEOPLES R CHINA. OCT 14-16, 2011.