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A New Variable-Fidelity Optimization Framework Based on Model Fusion and Objective-Oriented Sequential Sampling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computational models with variable fidelity have been widely used in engineering design. To alleviate the computational burden, surrogate models are used for optimization without directly invoking ...
A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we introduce a small variation to current approaches broadly called Taguchi Robust Design Methods. In these methods, there are two broad categories of problems associated with ...
A Design-Driven Validation Approach Using Bayesian Prediction Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In most of the existing work, model validation is viewed as verifying the model accuracy, measured by the agreement between computational and experimental results. Due to the lack of resource, ...
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