The Random RFPA Method for Modelling Rock Failure

The random rock failure process analysis (RRFPA) method was developed in this research to characterize the material spatial variability and uncertainty in rock failure modelling. The random field theory (RFT) was integrated with the traditional rock failure process analysis (RFPA) to model rock heterogeneity. In this approach, the variation of rock properties is represented as a function of relative distance, such that the influence of material intrinsic correlation on its fracturing behaviour can be appropriately captured. To validate the theory, 300 RRFPA simulations were conducted to investigate the failure characteristics of rock samples under compressive loading. The results showed that by incorporating a spectrum of material properties, the numerical outcomes exhibited distinct upper and lower bounds of stress across all testing scenarios, closely aligning with the experimental relationships. The histograms for uniaxial compressive strength and elastic modulus showed that both properties followed normal distributions, with the average values of 10.099 MPa and 1.818 GPa, respectively. The corresponding coefficients of variation were 0.450 and 0.038. The localized failure tended to result in a more rapid release of acoustic emission energy, but generated smaller cumulative energy compared to the overall failure pattern. In general, the maximum relative error of the RRFPA model was only 0.66% for uniaxial compressive strength, elastic modulus, and critical axial strain.

Authors

Institutions

Publication Details

Journal
Rock Mechanics and Rock Engineering
Published
2025-01-27
DOI
https://doi.org/10.1007/s00603-025-04400-3
Citations
14
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
12.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Random RFPA Method for Modelling Rock Failure

Indrasenan Thusyanthan, Bin Gong, Tao Zhao, Tang Chun-an et al.
14 citations
Rock Mechanics and Rock Engineering
Rock Mechanics and Modeling
12.09
article

The Random RFPA Method for Modelling Rock Failure

Indrasenan Thusyanthan, Bin Gong, Tao Zhao, Tang Chun-an, Gordon G. D. Zhou
article en
14 citations

Abstract

The random rock failure process analysis (RRFPA) method was developed in this research to characterize the material spatial variability and uncertainty in rock failure modelling. The random field theory (RFT) was integrated with the traditional rock failure process analysis (RFPA) to model rock heterogeneity. In this approach, the variation of rock properties is represented as a function of relative distance, such that the influence of material intrinsic correlation on its fracturing behaviour can be appropriately captured. To validate the theory, 300 RRFPA simulations were conducted to investigate the failure characteristics of rock samples under compressive loading. The results showed that by incorporating a spectrum of material properties, the numerical outcomes exhibited distinct upper and lower bounds of stress across all testing scenarios, closely aligning with the experimental relationships. The histograms for uniaxial compressive strength and elastic modulus showed that both properties followed normal distributions, with the average values of 10.099 MPa and 1.818 GPa, respectively. The corresponding coefficients of variation were 0.450 and 0.038. The localized failure tended to result in a more rapid release of acoustic emission energy, but generated smaller cumulative energy compared to the overall failure pattern. In general, the maximum relative error of the RRFPA model was only 0.66% for uniaxial compressive strength, elastic modulus, and critical axial strain.

Rock Mechanics and Rock EngineeringVol. 58(5)
University of London (GB), Chinese Academy of Sciences (CN), Dalian University of Technology (CN), Institute of Mountain Hazards and Environment (CN), Gavin and Doherty Geosolutions (Ireland) (IE), Institute of Rock and Soil Mechanics (CN), Brunel University of London (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 1%
Rock Mechanics and Modeling
12.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.