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Bearing Capacity of Strip Footing on Spatially Random Cohesionless Soils with Eccentric Loading
Over the past few decades, researchers have employed diverse numerical and experimental techniques to simulate the bearing capacity of a foundation within consistent soil compositions. In practical scenarios, soil properties consistently exhibit spatial variations, significantly influencing the foundation's load-bearing capability. This study explores an eccentrically loaded foundation's load-bearing capacity in spatially heterogeneous cohesionless soil. The investigation employs random lower bound limit analysis through the finite element method. The spatial distribution of soil is generated by discretizing the random field of internal friction angle using the Karhunen-Loéve (KL) expansion method. The stochastic response is determined using the Monte Carlo Simulation technique. The effect of load eccentricity for various spatial parameters on the mean bearing capacity factor (μNγ), such as coefficient of variation of soil friction angle (COVϕ) and spatial correlation length in vertical directions (CLy/B) using the probabilistic method, has been studied. The results of the analysis indicate that the mean value of the bearing capacity factor decreases with an increase in eccentricity and the probability of failure decreases with the increase in the coefficient of variation effect and in spatial correlation length in vertical directions.
Bearing Capacity of Strip Footing on Spatially Random Cohesionless Soils with Eccentric Loading
Over the past few decades, researchers have employed diverse numerical and experimental techniques to simulate the bearing capacity of a foundation within consistent soil compositions. In practical scenarios, soil properties consistently exhibit spatial variations, significantly influencing the foundation's load-bearing capability. This study explores an eccentrically loaded foundation's load-bearing capacity in spatially heterogeneous cohesionless soil. The investigation employs random lower bound limit analysis through the finite element method. The spatial distribution of soil is generated by discretizing the random field of internal friction angle using the Karhunen-Loéve (KL) expansion method. The stochastic response is determined using the Monte Carlo Simulation technique. The effect of load eccentricity for various spatial parameters on the mean bearing capacity factor (μNγ), such as coefficient of variation of soil friction angle (COVϕ) and spatial correlation length in vertical directions (CLy/B) using the probabilistic method, has been studied. The results of the analysis indicate that the mean value of the bearing capacity factor decreases with an increase in eccentricity and the probability of failure decreases with the increase in the coefficient of variation effect and in spatial correlation length in vertical directions.
Bearing Capacity of Strip Footing on Spatially Random Cohesionless Soils with Eccentric Loading
Lecture Notes in Civil Engineering
Verma, Amit Kumar (editor) / Singh, T. N. (editor) / Mohamad, Edy Tonnizam (editor) / Mishra, A. K. (editor) / Gamage, Ranjith Pathegama (editor) / Bhatawdekar, Ramesh (editor) / Wilkinson, Stephen (editor) / Pani, Sambit (author) / Khuntia, Sunil (author)
International Conference on Geotechnical Issues in Energy, Infrastructure and Disaster Management ; 2024 ; Patna, India
2024-12-01
14 pages
Article/Chapter (Book)
Electronic Resource
English
Bearing capacity of strip footing on cohesionless soil under inclined eccentric load
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Reliability analysis of allowable pressure of strip footing in spatially varying cohesionless soil
| British Library Conference Proceedings | 2005