Results 1 to 10 of about 16,565,874 (393)
Tunnelling Induced ground settlement considering soil variability [PDF]
Ground settlement need to be predicted well so that necessary precautionary measures could be adopted. Ground deformation behavior due to tunnel construction in inhomogeneous soil has been studied in the past few decades by many researchers.
Gouri Krishna, V B Maji
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Probabilistic analysis based on random field (RF) has been widely adopted in the safety assessment of shield tunnels. However, its practical applicability has been limited by the intricacy involved with integrating geotechnical data and tunneling ...
Ping Xie, Hanbin Luo, Ke Chen, Zhao Yang
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Random fields and random sampling [PDF]
The authors study the limit in distribution of the maximum of a stationary bivariate real random field, sampled at double random times under some dependence conditions. It is shown that the limit distribution is a max-semistable distribution when the random samples have a geometric growth pattern. When the random field is sampled at double random times,
Dias, Sandra, Temido, Maria da Graça
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Numerical Modeling of 3D Slopes with Weak Zones by Random Field and Finite Elements
This work investigates an analysis method for the stability of a three-dimensional (3D) slope with weak zones considering spatial variability on the basis of two-phase random media and the finite element method.
Yu-Xiang Xia +3 more
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This study investigates the probabilistic stability of embankment slopes subjected to water level drawdown using the random field finite element method (RFEM) with strength reduction technology.
Xiaobing Wang +4 more
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Monte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures.
Huaichang Yu +6 more
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Enhanced accuracy with Segmentation of Colorectal Polyp using NanoNetB, and Conditional Random Field Test-Time Augmentation. [PDF]
Hussain MS +8 more
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We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of random variables that live on infinite-dimensional spaces (e.g., space and time) such as stochastic processes (e.g., time series, Gaussian processes, and Markov processes ...
Pulsipher, Joshua L. +2 more
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Behavior of Shallow Circular Tunnels—Impact of the Soil Spatial Variability
Spatial variability is unavoidable for soils and it is important to consider such a feature in the design of geotechnical engineering as it may lead to some structure behaviors which cannot be predicted by a calculation assuming homogenous soils.
Adam Hamrouni +2 more
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ULTRAMETRIC RANDOM FIELD [PDF]
Gaussian random field on general ultrametric space is introduced as a solution of pseudodifferential stochastic equation. Covariation of the introduced random field is computed with the help of wavelet analysis on ultrametric spaces. Notion of ultrametric Markovianity, which describes independence of contributions to random field from different ...
Khrennikov, A. Yu., Kozyrev, S. V.
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