2015
DOI: 10.15273/ijge.2015.02.007
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A Phenomenological Model of Brittle Rocks under Uniaxial Compression

Abstract: A quantitative model was recently proposed by Peng et al (2015) to characterize the crack closure behavior of rocks. The model can simulate the initial nonlinearity of stress-strain curves in uniaxial and triaxial compressions. However, the crack propagation behavior near peak and in the postpeak deformation stage cannot be captured by the model. This paper extends the model to simulate the complete stress-strain curves of rocks under uniaxial compression. A phenomenological damage model, which uses a logistic… Show more

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Cited by 9 publications
(1 citation statement)
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“…Over the past decade, the academic community has conducted a significant amount of research on the long-term mechanical properties of brittle rock materials. The primary failure mechanism in most brittle rocks involves the nucleation, propagation, and coalescence of microcracks. Phenomenological damage models were initially developed to elucidate the mechanical behavior of brittle rocks concerning microcrack growth. The majority of them depicted microcrack states in brittle rocks by scalar or tensorial internal variables. However, these models lack in-depth comprehension of microscopic crack growth, relying on damage variables.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past decade, the academic community has conducted a significant amount of research on the long-term mechanical properties of brittle rock materials. The primary failure mechanism in most brittle rocks involves the nucleation, propagation, and coalescence of microcracks. Phenomenological damage models were initially developed to elucidate the mechanical behavior of brittle rocks concerning microcrack growth. The majority of them depicted microcrack states in brittle rocks by scalar or tensorial internal variables. However, these models lack in-depth comprehension of microscopic crack growth, relying on damage variables.…”
Section: Introductionmentioning
confidence: 99%