Investigating the closure stress and crack initiation stress in fractured rocks using the student t distribution and Monte Carlo simulation method.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 09 04 2024
accepted: 12 07 2024
medline: 7 8 2024
pubmed: 7 8 2024
entrez: 7 8 2024
Statut: epublish

Résumé

Traditional method of determining closure and initiation stress of fractured rocks by analyzing the stress-strain curve has problems such as strong subjectivity and large errors. This study utilized the rock closure stress values and onset stress values determined by three traditional methods, namely, axial strain method, fracture volume method and empirical value taking method, as the base database. The Student t distribution theory was used to obtain a confidence interval based on its overall distribution of values and to achieve a combination of the advantages of multiple methods. Within confidence interval, the Monte Carlo stochastic simulation was used to determine the convergence interval of the second stage to further improve the accuracy. Finally, mean value of the randomly sampled values after reaching the convergence stage was taken as the probability value of rock closure and crack initiation stress. The results showed that the 3 traditional methods for calculating rock closure and initiation stresses are significantly different. In contrast, the proposed method biases more towards multi-numerical distribution intervals and also considers the preference effects of different calculation methods. In addition, this method does not show any extreme values that deviate from the confidence intervals, and it has strong accuracy and stability compared to other methods.

Identifiants

pubmed: 39110674
doi: 10.1371/journal.pone.0307804
pii: PONE-D-24-14401
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0307804

Informations de copyright

Copyright: © 2024 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Hanjie Lin (H)

Department of Civil Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.

Yue Qiang (Y)

Department of Civil Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.

Li Li (L)

Department of Civil Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.

Hongjian Li (H)

Department of Civil Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.

Siyu Liang (S)

Department of Civil Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.

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Classifications MeSH