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Random field modelling of mechanical behaviour of corroded thin steel plate specimens

Engineering Structures, 2020
The objective of this work is to explore the possibility of corrosion degradation modelling of thin steel plate specimens with the use of random field approach. The mechanical properties are obtained via the nonlinear Finite Element Analysis with the use
Krzysztof Woloszyk, Y Garbatov
exaly   +2 more sources

Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation

Canadian Geotechnical Journal, 2018
Random field theory has been increasingly used in probabilistic geotechnical analyses over the past few decades, where a random field generator with random field parameters is needed to simulate random field samples (RFSs) of interest.
Yu Wang   +2 more
exaly   +2 more sources

Advances in Gaussian random field generation: a review

Computational Geosciences, 2019
Shuyu Sun, Sun Shuyu
exaly   +2 more sources

Markov Random Field Texture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983
Anil K Jain
exaly   +2 more sources

Stratigraphic uncertainty modelling with random field approach

, 2020
Due to the complexity and inherent spatial variability of the strata and the limited availability of borehole information, the subsurface stratigraphic configuration at a site is hard to characterize accurately, which gives rise to stratigraphic ...
W. Gong   +5 more
semanticscholar   +1 more source

Robust structural topology optimization under random field loading uncertainty

Structural and Multidisciplinary Optimization, 2014
Junpeng Zhao, Wang Chunjie
exaly   +2 more sources

INNOVATIONS FOR RANDOM FIELDS

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 1998
There is a famous formula called Lévy's stochastic infinitesimal equation for a stochastic process X(t) expressed in the form [Formula: see text] We propose a generalization of this equation for a random field X(C) indexed by a contour C. Assume that the X(C) is homogeneous in a white noise x, say of degree n, we can then appeal to the classical ...
Hida, Takeyuki, Si, Si
openaire   +2 more sources

Steerable Random Fields

2007 IEEE 11th International Conference on Computer Vision, 2007
In contrast to traditional Markov random field (MRF) models, we develop a steerable random field (SRF) in which the field potentials are defined in terms of filter responses that are steered to the local image structure. In particular, we use the structure tensor to obtain derivative responses that are either aligned with, or orthogonal to, the ...
Stefan Roth 0001, Michael J. Black
openaire   +1 more source

Markov random fields and gibbs random fields

Israel Journal of Mathematics, 1973
Spitzer has shown that every Markov random field (MRF) is a Gibbs random field (GRF) and vice versa when (i) both are translation invariant, (ii) the MRF is of first order, and (iii) the GRF is defined by a binary, nearest neighbor potential. In both cases, the field (iv) is defined onZ v, and (v) at anyxeZv, takes on one of two states.
openaire   +2 more sources

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