Results 41 to 50 of about 13,481 (226)
Technologies, 2019 The uncertainties in various Electromagnetic (EM) problems may present a significant effect on the properties of the involved field components, and thus, they must be taken into consideration.
Christos Salis +2 more
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Uncertainty Quantification for Airfoil Icing using Polynomial Chaos Expansions [PDF]
, 2014 The formation and accretion of ice on the leading edge of a wing can be detrimental to airplane performance. Complicating this reality is the fact that even a small amount of uncertainty in the shape of the accreted ice may result in a large amount of ...
DeGennaro, Anthony M. +2 more
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Applied Sciences, 2023 With the rapid development of the mobile communication technology, the design of mobile phones has become more complex, and research on the electromagnetic radiation from mobile phones that reaches the human head has become important. Therefore, first of
Miao Yi +4 more
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Deep Learning Based Uncertainty Analysis in Computational Micromechanics of Composite Materials
Applied Mechanics, 2021 Design of new materials is quite a difficult task owing to various time and length scales and affiliated uncertainties. The major challenge is to include all these in a conventional model. Hyperparameter models in machine learning can be used to overcome
Kian K. Sepahvand
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Seismic fragility analysis using stochastic polynomial chaos expansions
Probabilistic Engineering Mechanics, 2023 Within the performance-based earthquake engineering (PBEE) framework, the fragility model plays a pivotal role. Such a model represents the probability that the engineering demand parameter (EDP) exceeds a certain safety threshold given a set of selected intensity measures (IMs) that characterize the earthquake load.
Zhu X., Broccardo M., Sudret B.
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Polynomial Chaos Expansion Approach to Interest Rate Models [PDF]
Journal of Probability and Statistics, 2015 The Polynomial Chaos Expansion (PCE) technique allows us to recover a finite second-order random variable exploiting suitable linear combinations of orthogonal polynomials which are functions of a given stochastic quantityξ, hence acting as a kind of random basis.
DI PERSIO, Luca +2 more
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Geo-acoustic inversion using polynomial chaos expansion [PDF]
Acta Physica Sinica, 2021 In order to improve the computational efficiency of algorithms while exploring the method to overcome the ambiguity problems in underwater geo-acoustic inversion, we use the data of transmission losses at the broadband sound frequencies and multiple propagating distances with the matrix of polynomial chaos expansion coefficients of transmission losses ...
Feng-Hua Li, Han-Zhuo Wang
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Constant Jacobian Matrix-Based Stochastic Galerkin Method for Probabilistic Load Flow
Energies, 2016 An intrusive spectral method of probabilistic load flow (PLF) is proposed in the paper, which can handle the uncertainties arising from renewable energy integration. Generalized polynomial chaos (gPC) expansions of dependent random variables are utilized
Yingyun Sun, Rui Mao, Zuyi Li, Wei Tian
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Sensitivity analysis of extreme loads acting on a point-absorbing wave energy converter
International Marine Energy Journal, 2022 There are many uncertainties associated with the estimation of extreme loads acting on a wave energy converter (WEC). In this study we perform a sensitivity analysis of extreme loads acting on the Uppsala University (UU) WEC concept. The UU WEC consists
Claes Eskilsson +3 more
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Results in Physics, 2022 The reliability of the mercury spallation target is mission-critical for the neutron science program of the spallation neutron source at the Oak Ridge National Laboratory.
Majdi I. Radaideh +3 more
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