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RISEstimating Effect of Additional Sample on Uncertainty Reduction in Reliability Analysis Using Gaussian Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An approach is proposed to quantify the uncertainty in probability of failure using a Gaussian process (GP) and to estimate uncertainty change before actually adding samples to GP. The approach estimates the coefficient ...
General-Surrogate Adaptive Sampling Using Interquartile Range for Design Space Exploration
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A surrogate model is a common tool to approximate system response at untested points for design space exploration. Adaptive sampling has been studied for improving the accuracy of surrogates iteratively by introducing ...
Function Prediction at One Inaccessible Point Using Converging Lines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The focus of this paper is a strategy for making a prediction at a point where a function cannot be evaluated. The key idea is to take advantage of the fact that prediction is needed at one point and not in the entire ...
Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ...
System Reliability-Based Design Optimization Under Tradeoff Between Reduction of Sampling Uncertainty and Design Shift
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a tradeoff between shifting design and controlling sampling uncertainty in system reliability-based design optimization (RBDO) using the Bayesian network. The sampling uncertainty is caused by a finite ...
Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ...
Sensitivity-Based Parameter Calibration and Model Validation Under Model Error
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In calibrating model parameters, it is important to include the model discrepancy term in order to capture missing physics in simulation, which can result from numerical, measurement, and modeling errors. Ignoring the ...
Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Uncertainty quantification (UQ) is an important step in the verification and validation of scientific computing. Validation can be inconclusive when uncertainties are larger than acceptable ranges for both simulation and ...
Forensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Six explosive experiments were performed in October 2014 and February of 2015 at the Munitions Directorate of the Air Force Research Laboratory with the goal of providing validation-quality data for particle drag models ...