刚性基脚承载力系数的大变形评估:土壤异质性的影响

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Wei-Hai Yuan, Hao-Cheng Wang, Ya-Jun Li, Wei Zhang, Kang Liu
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引用次数: 0

摘要

本文研究了土体空间变异性对刚性基础大变形承载力的影响。将大变形随机广义插值法与随机场理论在蒙特卡罗模拟框架下相结合,提出了随机广义插值质点法。使用RGIMP方法对空间可变的Tresca土壤中刚性基础的连续贯入进行了建模。结果表明:由于土体的破坏多发生在弱路径上,空间变异土的承载力系数平均值往往小于均匀土;承载力系数平均值随变异系数(COV)的增大而减小,随水平波动尺度(SOF)的增大而增大。与水平sofv值相比,COV对承载力因子的影响更大。研究结果有助于更好地理解非均质地基的承载力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Large deformation assessment of the bearing capacity factor for rigid footing: effect of soil heterogeneity

Large deformation assessment of the bearing capacity factor for rigid footing: effect of soil heterogeneity

Large deformation assessment of the bearing capacity factor for rigid footing: effect of soil heterogeneity

In this paper, the influence of soil spatial variability on the large deformation bearing capacity of rigid footing is presented. The random generalized interpolation material point (RGIMP) method, in which the large deformation GIMP method is combined with random field theory in a Monte Carlo simulation framework, was developed. The continuous penetration of a rigid footing in a spatially variable Tresca soil is modeled using the RGIMP approach. The results show that the average value of the bearing capacity factor of the spatially variable soil is often smaller than that of the homogeneous soil because the failure of the soil always occurs along the weak path. The average value of the bearing capacity factor decreases with increasing coefficient of variation (COV) and increases with increasing horizontal scale of fluctuation (SOF). Compared with the value of the horizontal SOF, the COV has a greater influence on the bearing capacity factor. The findings of this study are helpful for obtaining a better understanding of the bearing capacity of heterogeneous foundations.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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