Hao Zhang
Duke University
AlgorithmRandom fieldFinite element methodCovarianceCurvatureComputer scienceRepresentation (mathematics)Operator (computer programming)Stochastic partial differential equationRobustness (computer science)
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#1Hao Zhang (Duke University)
#2Johann Guilleminot (Duke University)H-Index: 18
Last. Luis J. Gomez (Purdue University)
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Abstract null null We present a stochastic modeling framework to represent and simulate spatially-dependent geometrical uncertainties on complex geometries. While the consideration of random geometrical perturbations has long been a subject of interest in computational engineering, most studies proposed so far have addressed the case of regular geometries such as cylinders and plates. Here, standard random field representations, such as Karhunen–Loeve expansions, can readily be used owing, in pa...
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