Content area

Abstract

Measuring-while-drilling has been considered as an effective method to determine the mechanical properties of rock. In this paper, drilling models are improved for predicting the rock strength on the basis of nonlinear M-C criterion. The analytical relationship between the ratio of unconfined compressive strength to tensile strength and internal friction angle was derived, and their correlation is studied. A field method of strength prediction is proposed based on the drilling parameters. The proposed models are verified with results from standard test for sandstone, shale, marble and diorite. The experimental results indicate that the prediction error off rock strength within the range of 10%. The correlation between the tensile and compressive strength ratio and the internal friction angle is obtained based on drilling parameters. The parabolic failure criterion is suitable for sandstone and shale, and the hyperbolic failure criterion is suitable for marble and diorite. The strength ratio based on the drilling parameters are compared with the measured values of standard test, including compressive test and Brazilian split test, the point load test and the indentation test to verify the proposed model. The proposed prediction model based on drilling parameters has potential in practical engineering applications.

Highlights

The drilling models are established for predicting the rock strength on the basis of the nonlinear M-C criterion.

The analytical relationship between the ratio of UCS to TS and internal friction angle of rock is derived.

A new method of UCS, TS and TCS prediction is proposed based on the drilling parameters.

Details

Title
Determining Method of Tensile Strength of Rock Based on Friction Characteristics in the Drilling Process
Author
Wang, Haoteng 1 ; He, Mingming 2 

1  Xi’an University of Technology, State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677) 
2  Xi’an University of Technology, State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677); Xi’an University of Technology, Shaanxi Key Laboratory of Loess Mechanics and Engineering, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677) 
Pages
4211-4227
Publication year
2023
Publication date
Jun 2023
Publisher
Springer Nature B.V.
ISSN
0723-2632
e-ISSN
1434-453X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1007/s00603-023-03276-5
ProQuest document ID
2821998502
Copyright
© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.