Results 81 to 90 of about 30,004 (201)
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel +2 more
wiley +1 more source
Crosstalk in wiring harness has been studied extensively for its importance in the naval ships electromagnetic compatibility field. An effective and high-efficiency method is proposed in this paper for analyzing Statistical Characteristics of crosstalk ...
Chi Yaodan +5 more
doaj +1 more source
Bayesian Adaptive Polynomial Chaos Expansions
Polynomial chaos expansions (PCE) are widely used for uncertainty quantification (UQ) tasks, particularly in the applied mathematics community. However, PCE has received comparatively less attention in the statistics literature, and fully Bayesian formulations remain rare, especially with implementations in R.
Rumsey, Kellin N. +4 more
openaire +2 more sources
Abstract The NASA Atmospheric Waves Experiment (AWE) employs an OH imager that began measurements aboard the International Space Station (ISS) on 22 November 2023. The motivation for AWE was to quantify gravity wave (GW) responses to diverse sources and their influences extending into the mesosphere and higher altitudes.
David C. Fritts +7 more
wiley +1 more source
Determination of Bootstrap confidence intervals on sensitivity indices obtained by polynomial chaos expansion [PDF]
L’analyse de sensibilité a pour but d’évaluer l’influence de la variabilité d’un ou plusieurs paramètres d’entrée d’un modèle sur la variabilité d’une ou plusieurs réponses.
Berveiller, Marc +3 more
core
For the frequency response analysis of acoustic field with random and interval parameters, a nonintrusive uncertain analysis method named Polynomial Chaos Response Surface (PCRS) method is proposed.
Mingjie Wang, Zhimin Wan, Qibai Huang
doaj +1 more source
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime +3 more
wiley +1 more source
Polynomial Chaos Expansion of a Multimodal Random Vector [PDF]
A methodology and algorithms are proposed for constructing the polynomial chaos expansion (PCE) of multimodal random vectors. An algorithm is developed for generating independent realizations of any multimodal multivariate probability measure that is constructed from a set of independent realizations using the Gaussian kernel-density estimation method.
openaire +2 more sources
In this paper, we develop a numerical approach based on Chaos expansions to analyze the sensitivity and the propagation of epistemic uncertainty through a queueing systems with breakdowns.
Abbas, Karim +3 more
core
Robustness Analysis of the Collective Nonlinear Dynamics of a Periodic Coupled Pendulums Chain
Perfect structural periodicity is disturbed in presence of imperfections. The present paper is based on a realistic modeling of imperfections, using uncertainties, to investigate the robustness of the collective nonlinear dynamics of a periodic coupled ...
Khaoula Chikhaoui +3 more
doaj +1 more source

