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Bayesian Updating of Model Parameters by Iterative Particle Filter with Importance Sampling
Publisher: ASCE
Abstract: Data assimilation with a particle filter (PF) has attracted attention for use in Bayesian updating. However, PFs have a problem known as degeneracy, where weights tend to concentrate into only a few particles after a few ...
Soil Stratification and Spatial Variability Estimated Using Sparse Modeling and Gaussian Random Field Theory
Publisher: ASCE
Abstract: We propose a method for simultaneously estimating the trend and random components of soil properties using the least absolute shrinkage and selection operator (LASSO) for sparse modeling without assuming any basis functions ...
Prediction of Multidimensional Deformation Behavior Based on Observed Values
Publisher: American Society of Civil Engineers
Abstract: In this study, a method is developed for predicting the future deformation of soft ground, based on measured data. Because it is difficult to predict the deformation behavior of soft ground on the basis of laboratory ...
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