کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
254513 503312 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Three-dimensional slope reliability and risk assessment using auxiliary random finite element method
ترجمه فارسی عنوان
قابلیت اطمینان شیب سه بعدی و ارزیابی ریسک با استفاده از روش عددی محدود عددی کمکی
کلمات کلیدی
پایداری شیب، تحلیل قابلیت اطمینان، ارزیابی ریسک، تنوع فضایی، روش عددی محدود تصادفی. روش تهیه پاسخ
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

This paper aims to propose an auxiliary random finite element method (ARFEM) for efficient three-dimensional (3-D) slope reliability analysis and risk assessment considering spatial variability of soil properties. The ARFEM mainly consists of two steps: (1) preliminary analysis using a relatively coarse finite-element model and Subset Simulation, and (2) target analysis using a detailed finite-element model and response conditioning method. The 3-D spatial variability of soil properties is explicitly modeled using the expansion optimal linear estimation approach. A 3-D soil slope example is presented to demonstrate the validity of ARFEM. Finally, a sensitivity study is carried out to explore the effect of horizontal spatial variability. The results indicate that the proposed ARFEM not only provides reasonably accurate estimates of slope failure probability and risk, but also significantly reduces the computational effort at small probability levels. 3-D slope probabilistic analysis (including both 3-D slope stability analysis and 3-D spatial variability modeling) can reflect slope failure mechanism more realistically in terms of the shape, location and length of slip surface. Horizontal spatial variability can significantly influence the failure mode, reliability and risk of 3-D slopes, especially for long slopes with relatively strong horizontal spatial variability. These effects can be properly incorporated into 3-D slope reliability analysis and risk assessment using ARFEM.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Geotechnics - Volume 79, October 2016, Pages 146–158
نویسندگان
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