Journal ArticleDOI
Probabilistic analysis of tunnel longitudinal performance based upon conditional random field simulation of soil properties
Wenping Gong,Wenping Gong,C. Hsein Juang,C. Hsein Juang,James R. Martin,Huiming Tang,Qiangqing Wang,Hongwei Huang +7 more
TLDR
In this article, a new framework for the probabilistic analysis of tunnel longitudinal performance is presented, where the conditional random field theory is adopted to simulate the spatial variation of soil properties along the tunnel longitudinal direction, in which the soil properties at borehole locations can be explicitly considered.About:
This article is published in Tunnelling and Underground Space Technology.The article was published on 2018-03-01. It has received 84 citations till now. The article focuses on the topics: Probabilistic analysis of algorithms.read more
Citations
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Journal ArticleDOI
Probabilistic methods for unified treatment of geotechnical and geological uncertainties in a geotechnical analysis
TL;DR: The probabilistic tools developed in the geotechnical profession for tasks such as uncertainty characterization, assessment of impact of uncertainties, uncertainty reduction, and evaluation of the value of uncertainty reduction are discussed.
Journal ArticleDOI
Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis
Shui-Hua Jiang,Shui-Hua Jiang,Jinsong Huang,Jinsong Huang,Faming Huang,Jianhua Yang,Chi Yao,Chuangbing Zhou +7 more
TL;DR: In this article, a conditional random field model of undrained shear strength is constructed using the field vane shear test data at a site of the west side highway in New York and the probability of slope failure is estimated by subset simulation.
Journal ArticleDOI
Probabilistic analysis and design of stabilizing piles in slope considering stratigraphic uncertainty
TL;DR: In this article, the influence of the stratigraphic uncertainty on the behavior of the geotechnical system and its design is analyzed in a bi-objective optimization-based problem that considers the design safety and the cost simultaneously.
Journal ArticleDOI
Effect of ground surface surcharge on deformational performance of tunnel in spatially variable soil
Jin-Zhang Zhang,Jin-Zhang Zhang,Hongwei Huang,Dongming Zhang,Mingliang Zhou,Chong Tang,Dejun Liu +6 more
TL;DR: In this article, the coupled effect of the soil spatial variations and the disturbance of ground surface on the existing tunnel using random finite difference method (RFDM) is investigated, where the soil Young's modulus is highlighted and simulated with horizontally stratified anisotropic random field that is discretized by the Karhunen-Loeve expansion.
Journal ArticleDOI
Model selection in geological and geotechnical engineering in the face of uncertainty - Does a complex model always outperform a simple model?
TL;DR: This paper examines the issue of model selection in the face of uncertainty with three problems: the selection of the order of polynomial fit in the development of data-driven empirical model, the choice of the level of sophistication (i.e., random variable vs. random field) in the probabilistic characterization of the detrended soil property, and the selectionof thelevel of complexity of the soil constitutive model in numerical modelling.
References
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Transportation Research Board
TL;DR: Wu et al. as discussed by the authors published more than 1000 papers from TRR journals beginning with volume 2141 and more than 700 papers from the TRR journal volumes 2090 starting with volume 2090.
Journal ArticleDOI
Characterization of geotechnical variability
Kok-Kwang Phoon,Fred H. Kulhawy +1 more
TL;DR: In this paper, the three primary sources of geotechnical uncertainties are inherent variability, measurem, and measurem uncertainties, and the three main sources of variability are measurem and inherent variability.
Book
Risk Assessment in Geotechnical Engineering
Gordon A. Fenton,D. V. Griffiths +1 more
TL;DR: In this article, the authors present a review of Probability theory and its application in the field of mine planning, including the following: 1.1 Introduction. 2.2 Discrete-Time, Discrete State Markov Chains (DSMC) 2.3 Monte Carlo Analysis and Results. 3.4 Probabilistic Interpretation.
Journal ArticleDOI
Simulation of random fields via local average subdivision
TL;DR: A fast and accurate method of generating realizations of a homogeneous Gaussian scalar random process in one, two, or three dimensions is presented, motivated first by the need to represent engineering properties as local averages and second to be able to condition the realization easily to incorporate known data or change resolution within sub‐regions.
Journal ArticleDOI
Bearing-capacity prediction of spatially random c ϕ soils
Gordon A. Fenton,D. V. Griffiths +1 more
TL;DR: This paper used random field theory and elasto-plastic finite element analysis to evaluate the extent to which spatial variability and cross-correlati cation is associated with spatially varying shear strengths.