Resistance factors for design of square foundations on 3D cohesive soils against bearing capacity failure

Reliability-based designs have seen extensive use in structural engineering but face slower adoption in geotechnical practices due to the complexities in understanding uncertainties in the ground. This paper aims to bridge geotechnical and structural designs in sophisticated engineering systems, focusing on shallow square foundations that transfer structural loads to the underlying ground. The study introduces a semi-analytical method to assess the bearing capacity failure probability of shallow square foundations on 3D undrained cohesive soils using local average theory. The failure probability is efficiently calculated through fast evaluations of variances and covariance of locally averaged soil properties without relying on time-consuming computations via 3D non-linear random finite element analysis (RFEA). Confirmed through Monte Carlo simulation validation, the approach accurately determines the necessary resistance factors for designs against bearing capacity failure. Parameters specific to each site, such as sample location, variation coefficient, and fluctuation scale of spatially variable shear strength, influence the resistance factors. The approach suggests a practical method that aligns resistance factors with reliability theories, aiding engineers in transitioning to reliability-based designs without the need for extensive computations.

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Publication Details

Journal
SOILS AND FOUNDATIONS
Published
2025-02-15
DOI
https://doi.org/10.1016/j.sandf.2025.101579
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
0.00

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article

Resistance factors for design of square foundations on 3D cohesive soils against bearing capacity failure

Hong‐Hu Zhu, Yuner Gan, Yajun Li, Bin Zhang
SOILS AND FOUNDATIONS
Geotechnical Engineering and Soil Stabilization
article

Resistance factors for design of square foundations on 3D cohesive soils against bearing capacity failure

Hong‐Hu Zhu, Yuner Gan, Yajun Li, Bin Zhang
article en

Abstract

Reliability-based designs have seen extensive use in structural engineering but face slower adoption in geotechnical practices due to the complexities in understanding uncertainties in the ground. This paper aims to bridge geotechnical and structural designs in sophisticated engineering systems, focusing on shallow square foundations that transfer structural loads to the underlying ground. The study introduces a semi-analytical method to assess the bearing capacity failure probability of shallow square foundations on 3D undrained cohesive soils using local average theory. The failure probability is efficiently calculated through fast evaluations of variances and covariance of locally averaged soil properties without relying on time-consuming computations via 3D non-linear random finite element analysis (RFEA). Confirmed through Monte Carlo simulation validation, the approach accurately determines the necessary resistance factors for designs against bearing capacity failure. Parameters specific to each site, such as sample location, variation coefficient, and fluctuation scale of spatially variable shear strength, influence the resistance factors. The approach suggests a practical method that aligns resistance factors with reliability theories, aiding engineers in transitioning to reliability-based designs without the need for extensive computations.

SOILS AND FOUNDATIONSVol. 65(2)
China University of Geosciences (Beijing) (CN), Geological Exploration Technology Institute of Jiangsu Province (CN), Nanjing University (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 97%
Geotechnical Engineering and Soil Stabilization
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