Results 1 to 10 of about 13,481 (226)
Uncertainty Quantification in Mooring Cable Dynamics Using Polynomial Chaos Expansions
Journal of Marine Science and Engineering, 2020 Mooring systems exhibit high failure rates. This is especially problematic for offshore renewable energy systems, like wave and floating wind, where the mooring system can be an active component and the redundancy in the design must be kept low.
Guilherme Moura Paredes +2 more
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Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models [PDF]
, 2021 Global sensitivity analysis aims at quantifying the impact of input variability onto the variation of the response of a computational model. It has been widely applied to deterministic simulators, for which a set of input parameters has a unique ...
Sudret, B., Zhu, X.
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Analysis of methods for the Maxwell-random Lorentz model
Results in Applied Mathematics, 2020 Maxwell’s equations describes the propagation of electromagnetic fields in materials. Constitutive laws are used to describe the material response to the fields.
Andrew Fisher +2 more
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Optimized sparse polynomial chaos expansion with entropy regularization [PDF]
Advances in Aerodynamics, 2021 Abstract Sparse Polynomial Chaos Expansion (PCE) is widely used in various engineering fields to quantitatively analyse the influence of uncertainty, while alleviating the problem of dimensionality curse. However, current sparse PCE techniques focus on choosing features with the largest coefficients, which may ignore uncertainties ...
SiJie Zeng +3 more
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Small Sample-Based Fatigue Reliability Analysis Using Non-Intrusive Polynomial Chaos
IEEE Access, 2020 Based on small sample of fatigue test data, a new method to obtain p-S-N curve for fatigue reliability analysis using non-intrusive polynomial chaos (NIPC) is proposed to lower test cost.
Xiaoran Liu, Qin Sun
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Bayesian inference of earthquake rupture models using polynomial chaos expansion [PDF]
Geoscientific Model Development, 2018 In this paper, we employed polynomial chaos (PC) expansions to understand earthquake rupture model responses to random fault plane properties. A sensitivity analysis based on our PC surrogate model suggests that the hypocenter location plays a ...
H. Cruz-Jiménez +5 more
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Aerospace, 2022 In this study, the aerodynamic uncertainty analysis and optimization of a conventional axisymmetric vehicle with an aerodynamic configuration were investigated.
Xun Peng +5 more
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Zhongguo Jianchuan Yanjiu, 2023 ObjectivesThe key to uncertainty design optimization (UDO) is uncertainty quantification (UQ), but the traditionally used Monte Carlo (MC) method can be time-consuming and computationally expensive.
Xiao WEI, Heng LI, Chenran HUANG
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Algorithms, 2022 In this article, multi-fidelity kriging and sparse polynomial chaos expansion (SPCE) surrogate models are constructed. In addition, a novel combination of the two surrogate approaches into a multi-fidelity SPCE-Kriging model will be presented.
Markus P. Rumpfkeil +2 more
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Combining polynomial chaos expansions and genetic algorithm for the coupling of electrophysiological models [PDF]
, 2019 The number of computational models in cardiac research has grown over the last decades. Every year new models with di erent assumptions appear in the literature dealing with di erences in interspecies cardiac properties.
A Mahajan +17 more
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