Incorporating the AUS criterion into the limit equilibrium method to study the undrained seismic bearing capacity of strip footings on anisotropic slopes
IF 6.2 1区 工程技术Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Amin Keshavarz , Shabnam Shirazizadeh , Majid Beygi , Jie Li
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引用次数: 0
Abstract
This study employed the limit equilibrium method (LEM) to assess the undrained seismic bearing capacity of strip footings adjacent to anisotropic slopes. A pseudo-static approach was employed, incorporating horizontal and vertical acceleration coefficients to simulate seismic forces. The anisotropic undrained shear strength (AUS) criterion was adopted for capturing anisotropy in shear strength; however, its application within the LEM introduced some complexity. This complexity arose from the need to solve a system of nonlinear equations. As a result, the Newton method was used to solve the equations efficiently, ensuring accurate results while maintaining computational stability. The results showed a strong correlation between the failure mechanisms predicted by the Finite Element Limit Analysis (FELA) method and the predefined failure mechanisms in the present study. Additionally, the findings emphasise the significant impact of anisotropy ratio on undrained seismic bearing capacity, with reductions of up to 33% observed in some cases.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.