Efficient simulation of multivariate three-dimensional cross-correlated random fields conditioning on non-lattice measurement data
DOI10.1016/J.CMA.2021.114208OpenAlexW3204983690MaRDI QIDQ2060103
Zhiyong Yang, Xueyou Li, Xiaohui Qi
Publication date: 13 December 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2021.114208
Monte Carlo simulationGibbs samplerspatial variability3D site characterizationcross-correlated conditional random fieldnon-lattice data
Probabilistic models, generic numerical methods in probability and statistics (65C20) Computational methods for problems pertaining to probability theory (60-08) Stochastic particle methods (65C35)
Cites Work
- A patching algorithm for conditional random fields in modeling material properties
- Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational Bayesian inference
- Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis
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