Sampling methods for solving Bayesian model updating problems: A tutorial
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …
context of Bayesian model updating for engineering applications. Markov Chain Monte …
Recent progress of uncertainty quantification in small-scale materials science
P Acar - Progress in Materials Science, 2021 - Elsevier
This work addresses a comprehensive review of the recent efforts for uncertainty
quantification in small-scale materials science. Experimental and computational studies for …
quantification in small-scale materials science. Experimental and computational studies for …
[HTML][HTML] An iterative Bayesian filtering framework for fast and automated calibration of DEM models
The nonlinear, history-dependent macroscopic behavior of a granular material is rooted in
the micromechanics between constituent particles and irreversible, plastic deformations …
the micromechanics between constituent particles and irreversible, plastic deformations …
Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models
PE Hadjidoukas, P Angelikopoulos… - Journal of …, 2015 - Elsevier
We present Π4U, 1 an extensible framework, for non-intrusive Bayesian Uncertainty
Quantification and Propagation (UQ+ P) of complex and computationally demanding …
Quantification and Propagation (UQ+ P) of complex and computationally demanding …
Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization
This paper applies the transitional Markov chain Monte Carlo (TMCMC) algorithm to
probabilistic site characterization problems. The purpose is to characterize the statistical …
probabilistic site characterization problems. The purpose is to characterize the statistical …
Model uncertainty analysis using data analytics for life-cycle assessment (LCA) applications
M Ziyadi, IL Al-Qadi - The International Journal of Life Cycle Assessment, 2019 - Springer
Purpose Objective uncertainty quantification (UQ) of a product life-cycle assessment (LCA)
is a critical step for decision-making. Environmental impacts can be measured directly or by …
is a critical step for decision-making. Environmental impacts can be measured directly or by …
A Bayesian approach to selecting hyperelastic constitutive models of soft tissue
S Madireddy, B Sista, K Vemaganti - Computer Methods in Applied …, 2015 - Elsevier
Hyperelastic constitutive models of soft tissue mechanical behavior are extensively used in
applications like computer-aided surgery, injury modeling, etc. While numerous constitutive …
applications like computer-aided surgery, injury modeling, etc. While numerous constitutive …
[HTML][HTML] Calibration and uniqueness analysis of microparameters for DEM cohesive granular material
S Ji, J Karlovšek - International Journal of Mining Science and …, 2022 - Elsevier
The differential evolution (DE) algorithm was deployed to calibrate microparameters of the
DEM cohesive granular material. 4 macroparameters, namely, uniaxial compressive …
DEM cohesive granular material. 4 macroparameters, namely, uniaxial compressive …
Bayesian annealed sequential importance sampling: an unbiased version of transitional Markov chain Monte Carlo
S Wu, P Angelikopoulos… - … -ASME Journal of …, 2018 - asmedigitalcollection.asme.org
Abstract The transitional Markov chain Monte Carlo (TMCMC) is one of the efficient
algorithms for performing Markov chain Monte Carlo (MCMC) in the context of Bayesian …
algorithms for performing Markov chain Monte Carlo (MCMC) in the context of Bayesian …
Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter
The calibration of discrete element method (DEM) simulations is typically accomplished in a
trial-and-error manner. It generally lacks objectivity and is filled with uncertainties. To deal …
trial-and-error manner. It generally lacks objectivity and is filled with uncertainties. To deal …