Quantification of Uncertainty: Improving Efficiency and Technology

Chapter 1 Effect of Load Path on Parameter Identification for Plasticity Models Using Bayesian Methods

Chapter 2 A Compressive Spectral Collocation Method for the Diffusion Equation Under the Restricted Isometry Property

Chapter 3 Surrogate-Based Ensemble Grouping Strategies for Embedded Sampling-Based Uncertainty Quantification

Chapter 4 Conservative Model Order Reduction for Fluid Flow

Chapter 5 Piecewise Polynomial Approximation of Probability Density Functions with Application to Uncertainty Quantification for Stochastic PDEs

Chapter 5 Piecewise polynomial approximation of probability density functions with application to uncertainty quantification for stochastic PDEs

Chapter 6 Analysis of Probabilistic and Parametric Reduced Order Models

Chapter 7 Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains

Chapter 8 Uncertainty Quantification Applied to Hemodynamic Simulations of Thoracic Aorta Aneurysms: Sensitivity to Inlet Conditions

Chapter 9 Cavitation Model Parameter Calibration for Simulations of Three-Phase Injector Flows

Chapter 10 Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives

Chapter 11 A Practical Example for the Non-linear Bayesian Filtering of Model Parameters