Back to Search Start Over

Correlation between the rockburst proneness and friction characteristics of rock materials and a new method for rockburst proneness prediction: Field demonstration.

Authors :
He, Mingming
Zhang, Zhiqiang
Zhu, Jiwei
Li, Ning
Li, Guofeng
Chen, Yunsheng
Source :
Journal of Petroleum Science & Engineering. Oct2021, Vol. 205, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Prediction of the rockburst proneness of rock in the field is an important problem in rockburst research. In this paper, the analytical relationship between the strength ratio (the ratio of the unconfined compressive strength to the ultimate cutting strength) of rock and the friction angle is presented. A new perspective is presented for rockburst proneness considering the strength ratio and friction characteristics of rock materials. The relationships between the residual elastic energy index (the difference between the peak elastic energy density and failure energy density of the postpeak stage) and the strength ratio and friction coefficient are established to determine the rockburst proneness of rock materials. The linear relationship between the strength ratio and residual elastic energy index is obtained. A novel method is proposed to easily predict the rockburst proneness of rock materials in the field. The rockburst proneness values predicted from the proposed method for six types of rock are consistent with those obtained in the laboratory. This result shows the correlation between the rockburst proneness and friction characteristics of rock materials. The variation in the contact friction angle is similar to the variation in the residual elastic energy index along the borehole. This method is successfully applied to predict the rockburst proneness of the surrounding rock of four tunnel sections. [Display omitted] • The analytical relationship between the ultimate cutting strength and friction angle of rock is presented. • The relationships between the rockburst proneness and friction coefficient of rock materials are established. • A novel method is proposed to easily predict the rockburst proneness of rock materials using drilling data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09204105
Volume :
205
Database :
Academic Search Index
Journal :
Journal of Petroleum Science & Engineering
Publication Type :
Academic Journal
Accession number :
151021275
Full Text :
https://doi.org/10.1016/j.petrol.2021.108997