两统计参数评估结构面粗糙度探讨及试验验证

doi:10.13722/j.cnki.jrme.2020.0645

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Abstract Quantitatively characterizing joint roughness is of great significance to accurately understand joint mechanical properties. As indicated in the literature，the root mean square(Z2) and the structure function(SF) among many statistical parameters for joint roughness have the best correlation with JRC. However，the sampling interval(SI) is an important obstacle restricting their practical application. In this paper，30 sets of Z2 and SF values of ten joint profiles from Barton¢s literature with SI ranging in [0.2 mm，10 mm] were calculated using digital image processing technology. The influence of SI on Z2 and SF was discussed，and the relationships between the combination parameters (Z2，SI) and (SF，SI) with JRC were analyzed. Consequently，a method for evaluating the joint surface roughness JRC by the combined parameters(Z2，SI) and (SF，SI) with SI belonging to [1 mm，10 mm] was proposed，and the reliability of the proposed formulas was verified by shear tests. The results show that，for the same joint profile，with increasing SI，Z2 decreases gradually while SF increases，and that both Z2 and SF have a good power function relation with SI and the coefficients of the power functions rise with increasing JCR. The calculation roughness of Barton curves by the two formulas shows that the estimation values of three joint profiles of JRC0–2，JRC16–18 and JRC18–20 are slightly smaller on the whole，the estimation values of JRC4–6 and JRC10–12 are slightly larger，and the values of the other five joint profiles are basically distributed within the respective range. Comparison between the roughness of the test structural surface along four directions by the direct shear test and the results calculated by the developed formulas shows that the roughness estimation values are in agreement with the test values on the whole. When the maximum allowable deviation is set as 4，the accuracy of the roughness of the structural surface along four directions evaluated by the combination parameters (Z2，SI) and (SF，SI) with random interval is not less than 83.33%. This research provides a new way for evaluating structural surface roughness with statistical parameters.

Key words： rock mechanics joint surfaces evaluation of roughness statistical parameters sampling interval

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	Articles by authors
	CHEN Shijiang1
	CHANG Jianping1
	JI Changxing2
	WU Xiangye1
	DU Guangsheng1
	YANG Zhidong3

Cite this article:

CHEN Shijiang1,CHANG Jianping1,JI Changxing2, et al. A two-parameter evaluation method of joint roughness and its experimental verification[J]. , 2021, 40(3): 476-489.

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http://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2020.0645 OR http://rockmech.whrsm.ac.cn/EN/Y2021/V40/I3/476

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