Abstract
ABSTRACT To improve the computational efficiency and accuracy is a constant pursuit for evaluating the stability of geotechnical structures built in spatially variable soils. This study proposes an important-region-based Karhunen – Loève expansion and first-order reliability method (KL-FORM-IR method) to perform reliability analysis for shallow foundation resting on spatially variable soil. The KL-FORM-IR method further improves the computational efficiency by ignoring the variability of the soil parameters outside the important region. An identification method for locating the important region of shallow foundation is first proposed, and the effect of the scale factor (K f), autocorrelation distance of soil properties, and foundation width (B) on the identification of important regions are investigated. For the purpose of validation, the proposed KL-FORM-IR method compared with the KL-FORM and KL-MCSM by performing reliability analyses based on the same numerical model. Conclusively, the KL-FORM-IR method can improve the computational efficiency and it contributes a new approach to the reliability analysis of shallow foundation resting on a spatially variable soil.
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