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RISTeaching a Verification and Validation Course Using Simulations and Experiments With Paper Helicopters
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In teaching a course on verification and validation (V&V) in scientific simulations, it is desirable for students to carry out repeated experiments on devices/systems that they can build and that can be easily repeated. ...
Estimating 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 ...
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 ...
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 ...
A Kriging Surrogate Model for Computing Gas Mixture Equations of State
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurate simulation of the complex flow following the detonation of an explosive material is a challenging problem. In these flows, the detonation products of the explosive must be treated as a real gas while the surrounding ...
A Kriging Surrogate Model for Computing Gas Mixture Equations of State
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Accurate simulation of the complex flow following the detonation of an explosive material is a challenging problem. In these flows, the detonation products of the explosive must be treated as a real gas while the surrounding ...
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 ...