Technical Notes
Aug 23, 2022

New Statistical Quantification Method for the Size Effect Behavior of Rock Mass Using Compressive Strength as an Example

Publication: International Journal of Geomechanics
Volume 22, Issue 11

Abstract

The statistical law on mechanical parameters of rock mass with size is the key to the study of the size effect. Since the existing statistical methods of the size effect only consider the continuity of the size but not the difference between the samples of each size, a new statistical method that considers single size and multisize is proposed. Based on the proposed method, the true representative elementary volume (TREV) value is used to determine the size effect stability threshold. Combined with the analysis of the three major size effect theories, the unified size effect law model and variation index k are proposed. The results are validated by statistical test data on the uniaxial compressive strength (UCS) obtained in realistic failure process analysis (RFPA) numerical test and from other works, which proves that the proposed method can reflect the variation law of UCS value with size and provide a basis for theoretical research on the size effect in mechanical behavior.

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Acknowledgments

The study was funded by the National Natural Science Foundation of China (Grant No. 41427802) and the Natural Science Foundation of Zhejiang Province (Grant No. LY18D020003). This support is gratefully acknowledged.

Notation

The following symbols are used in this paper:
CVi
coefficient of variation;
D0
reference size;
fc0
uniaxial compressive strength;
Kai
average variation coefficient;
Ksi
variation coefficient based on a single sample;
k
variation index;
L
total length of rock mass;
li
sampling size;
l1
reference size in the size effect law model;
M
parameter;
M1¯
corresponding mean parameter in the size effect law model;
Mi¯
mean corresponding to li;
Mij
parameters of each size li;
Mimax
maximum parameter corresponding to li;
Mimin
minimum parameter corresponding to li;
Muj
average of Mij when size is greater than or equal to li;
m
sampling times;
mw
Weibull coefficient;
n
sampling capacity;
nd
dimensionality of the structure;
u
sampling serial number;
η
empirical constant;
μ
mean;
σ
standard deviation;
σNu
nominal strength;
σ¯Nu
mean nominal strength;
σ0
reference parameter;
σ¯0
mean reference parameter;
σ1
maximum principal stress;
σ2
minimum principal stress; and
φ
internal friction angle.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 22Issue 11November 2022

History

Received: Aug 26, 2021
Accepted: Jun 12, 2022
Published online: Aug 23, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 23, 2023

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Authors

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Man Huang
Professor, Dept. of Civil Engineering, Shaoxing Univ., 508 Huancheng West Rd., Shaoxing 312000, China.
Dan Liu
M.Sc. Student, Dept. of Civil Engineering, Shaoxing Univ., 508 Huancheng West Rd., Shaoxing 312000, China.
Chenjie Hong [email protected]
Ph.D. Student, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology Beijing, No. Ding-11 Xueyuan Rd., Beijing 100083, China (corresponding author). Email: [email protected]
Zhigang Tao
Associate Professor, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology Beijing, No. Ding-11 Xueyuan Rd., Beijing 100083, China.
Shigui Du
Professor, School of Civil and Environmental Engineering, Ningbo Univ., 818 Fenghua Rd., Ningbo 315000, China.
Yixiao Huang
Associate Professor, School of Science, Zhejiang Univ. of Science and Technology, 318 Liuhe Rd., Hangzhou 310023, Zhejiang, China.

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