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Using a Galerkin Approach to Define Terrain Surfaces
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Terrain is the principal source of vertical excitation to the vehicle and must be accurately represented in order to correctly predict the vehicle response. Ideally, an efficient terrain surface ...
Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The reliability based design optimization (RBDO) method is prevailing in stochastic structural design optimization by assuming the amount of input data is sufficient enough to create accurate ...
Integration of Possibility-Based Optimization and Robust Design for Epistemic Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In practical engineering applications, there exist two different types of uncertainties: aleatory and epistemic uncertainties. This study attempts to develop a robust design optimization with ...
Reliability-Based Design Optimization With Confidence Level for Non-Gaussian Distributions Using Bootstrap Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: For reliability-based design optimization (RBDO), generating an input statistical model with confidence level has been recently proposed to offset inaccurate estimation of the input statistical ...
Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems With Correlated Random Variables
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study presents a methodology for computing stochastic sensitivities with respect to the design variables, which are the mean values of the input correlated random variables. Assuming that ...
Improving Identifiability in Model Calibration Using Multiple Responses
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In physics-based engineering modeling, the two primary sources of model uncertainty, which account for the differences between computer models and physical experiments, are parameter uncertainty ...
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