Probabilistic failure envelopes of strip foundations on soils with non-stationary characteristics of undrained shear strength

被引:21
作者
Shen, Zhichao [1 ,2 ]
Pan, Qiujing [3 ]
Chian, Siau Chen [2 ]
Gourvenec, Susan [4 ]
Tian, Yinghui [5 ]
机构
[1] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China
[2] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore, Singapore
[3] Cent South Univ, Sch Civil Engn, Changsha, Hunan, Peoples R China
[4] Univ Southampton, Sch Engn, Southampton, Hants, England
[5] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
来源
GEOTECHNIQUE | 2021年 / 73卷 / 08期
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
bearing capacity; failure envelopes; probabilistic analysis; random finite element; shallow foundations; soil spatial variability; sparse polynomial chaos expansion; global sensitivity analysis; SHALLOW FOUNDATIONS; BEARING CAPACITY; CIRCULAR FOUNDATIONS; SKIRTED FOUNDATIONS; SPUDCAN FOUNDATIONS; COHESIVE SOIL; IDENTIFICATION; RELIABILITY; INTERFACE; EMBEDMENT;
D O I
10.1680/jgeot.21.00169
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
This paper investigates probabilistic failure envelopes of strip foundations on spatially variable soils with profiles of undrained shear strength, s(u), linearly increasing with depth using lower-bound random finite-element limit analysis. The spatially variable s(u) is characterised by a non-stationary random field with linearly increasing mean and constant coefficient of variation (COV) with depth. The deterministic uniaxial capacities and failure envelopes are first derived to validate the numerical models and provide a reference for the subsequent probabilistic analysis. Results indicate that the random field parameters COVsu (the COV of s(u)) and Delta (dimensionless autocorrelation distance) have a considerable effect on the probabilistic normalised uniaxial capacities, which alters the size of the probabilistic failure envelopes. However, an insignificant effect of COVsu and Delta on the shape of probabilistic failure envelopes is observed in the V-H, V-M and H-M loading spaces, such that failure envelopes for different soil variabilities can be simply scaled by the uniaxial capacities. In contrast to COVsu and Delta, the soil strength heterogeneity index kappa = mu B-k/mu(su0) has the lowest effect on the probabilistic normalised uniaxial capacity factors, but the highest effect on the shape of the probabilistic failure envelopes. A series of expressions is proposed to describe the shape of deterministic and probabilistic failure envelopes for strip foundations under combined vertical, horizontal and moment (V-H-M) loading.
引用
收藏
页码:716 / 735
页数:20
相关论文
共 64 条
[1]   Efficient sparse polynomial chaos expansion methodology for the probabilistic analysis of computationally-expensive deterministic models [J].
Al-Bittar, T. ;
Soubra, A. -H. .
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2014, 38 (12) :1211-1230
[2]   Bearing capacity of strip footings on spatially random soils using sparse polynomial chaos expansion [J].
Al-Bittar, Tamara ;
Soubra, Abdul-Hamid .
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2013, 37 (13) :2039-2060
[3]   Adaptive sparse polynomial chaos expansion based on least angle regression [J].
Blatman, Geraud ;
Sudret, Bruno .
JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (06) :2345-2367
[4]   An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis [J].
Blatman, Geraud ;
Sudret, Bruno .
PROBABILISTIC ENGINEERING MECHANICS, 2010, 25 (02) :183-197
[5]   Combined loading of skirted foundations [J].
Bransby, MF ;
Randolph, MF .
GEOTECHNIQUE, 1998, 48 (05) :637-655
[6]   Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values [J].
Cami, Brigid ;
Javankhoshdel, Sina ;
Phoon, Kok-Kwang ;
Ching, Jianye .
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 2020, 6 (04)
[7]   Probabilistic combined loading failure envelopes of a strip footing on spatially variable soil [J].
Cassidy, Mark J. ;
Uzielli, Marco ;
Tian, Yinghui .
COMPUTERS AND GEOTECHNICS, 2013, 49 :191-205
[8]   A probabilistic approach to the ultimate capacity of skirted foundations in spatially variable clay [J].
Charlton, T. S. ;
Rouainia, M. .
STRUCTURAL SAFETY, 2017, 65 :126-136
[9]   On spectral representation method and Karhunen-Loeve expansion in modelling construction material properties [J].
Chen, Elton J. ;
Ding, Lieyun ;
Liu, Yong ;
Ma, Xianfeng ;
Skibniewski, Miroslaw J. .
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 2018, 18 (03) :768-783
[10]   Statistical characterization of random field parameters using frequentist and Bayesian approaches [J].
Ching, Jianye ;
Wu, Shih-Shuan ;
Phoon, Kok-Kwang .
CANADIAN GEOTECHNICAL JOURNAL, 2016, 53 (02) :285-298