Bearing Capacity Prediction for Foundations Embedded in Hoek–Brown Rock Slopes

Abstract A novel upper-bound (UB) finite-element limit analysis (FELA) software, in association with power cone programming, is developed in this research to assess the end bearing capacity of foundations positioned within rock slopes. The framework in this study incorporates the generalized Hoek–Brown failure criterion directly, without recourse to any approximation or smoothing, thus maintaining the accuracy of the rock mass characterization. Advanced analysis features, including quadratic velocity elements and adaptive mesh refinement, are employed to enhance both precision and computational efficiency in estimating the bearing capacity factor N . Calculations performed through the proprietary UB FELA program yield bearing capacity factors N , which are then assembled into user-friendly design charts intended for engineering practice. Furthermore, an in-depth examination of typical failure modes is provided, highlighting the comparative effects of various governing parameters on the bearing capacity outcomes.

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Publication Details

Journal
International Journal of Geomechanics
Published
2026-09-11
DOI
https://doi.org/10.1061/ijgnai.gmeng-14154
Primary Topic
Geotechnical Engineering and Analysis
Type
article
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Bearing Capacity Prediction for Foundations Embedded in Hoek–Brown Rock Slopes

Yao Xiao, Shilin Luo, Jin Chang, Rui Zhang et al.
International Journal of Geomechanics
Geotechnical Engineering and Analysis
article

Bearing Capacity Prediction for Foundations Embedded in Hoek–Brown Rock Slopes

Yao Xiao, Shilin Luo, Jin Chang, Rui Zhang, Jian Luo, Jianqing Jiang
article en

Abstract

Abstract A novel upper-bound (UB) finite-element limit analysis (FELA) software, in association with power cone programming, is developed in this research to assess the end bearing capacity of foundations positioned within rock slopes. The framework in this study incorporates the generalized Hoek–Brown failure criterion directly, without recourse to any approximation or smoothing, thus maintaining the accuracy of the rock mass characterization. Advanced analysis features, including quadratic velocity elements and adaptive mesh refinement, are employed to enhance both precision and computational efficiency in estimating the bearing capacity factor N . Calculations performed through the proprietary UB FELA program yield bearing capacity factors N , which are then assembled into user-friendly design charts intended for engineering practice. Furthermore, an in-depth examination of typical failure modes is provided, highlighting the comparative effects of various governing parameters on the bearing capacity outcomes.

International Journal of GeomechanicsVol. 26(11)
Guangxi University (CN), Guangxi University of Science and Technology (CN), Changsha University (CN)
Openalex Percentile: Top 11%
Geotechnical Engineering and Analysis
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