Results 91 to 100 of about 3,355 (214)

On fractional moment estimation from polynomial chaos expansion

Reliability Engineering & System Safety
Fractional statistical moments are utilized for various tasks of uncertainty quantification, including the estimation of probability distributions. However, an estimation of fractional statistical moments of costly mathematical models by statistical sampling is challenging since it is typically not possible to create a large experimental design due to ...
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes   +2 more
openaire   +2 more sources

Physics‐Informed Bayesian Optimisation of Utility‐Scale Wind Farms in Synthetically Generated Complex Terrain Using LES

Wind Energy, Volume 29, Issue 6, June 2026.
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, Rafael Palacios, Sylvain Laizet   +2 more
wiley   +1 more source

Robustness Analysis of the Collective Nonlinear Dynamics of a Periodic Coupled Pendulums Chain

Applied Sciences, 2017
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, Diala Bitar, Najib Kacem, Noureddine Bouhaddi   +3 more
doaj   +1 more source

Sparse polynomial chaos expansion for universal stochastic kriging

Journal of Computational and Applied Mathematics
Surrogate modelling techniques have opened up new possibilities to overcome the limitations of computationally intensive numerical models in various areas of engineering and science. However, while fundamental in many engineering applications and decision-making, the incorporation of uncertainty quantification into meta-models remains a challenging ...
José Carlos García-Merino, Carmen Calvo-Jurado, Enrique García-Macías   +2 more
openaire   +4 more sources

The Role of Inducible Defence in Ecological Models: Effects of Nonlocal Intraspecific Competition

Studies in Applied Mathematics, Volume 156, Issue 6, June 2026.
ABSTRACT Phenotypic plasticity significantly influences species interactions, especially via inducible defensive mechanisms in predator–prey dynamics. This work proposes and explores a predator–prey scenario whereby the prey species demonstrates inducible defence mechanisms against predators.
Sangeeta Saha, Swadesh Pal, Roderick Melnik   +2 more
wiley   +1 more source

Uncertainty should be the rule, not the exception: Integrating fibre orientation variability in cardiac electrophysiology modelling

The Journal of Physiology, EarlyView.
Ovais Ahmed Jaffery, Caroline Helen Roney   +1 more
wiley   +1 more source

Initial Atmospheric Waves Experiment (AWE) Imaging Analyses: Gravity Wave Sources, Temperatures, Pseudomomentum Fluxes, and Horizontal Wavenumber Spectra at the OH Layer

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
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, Robert G. Stockwell, Thomas S. Lund, P.‐Dominique Pautet, Kaoru Sato, Dai Koshin, Michael J. Taylor, Ludger Scherliess   +7 more
wiley   +1 more source

Sensitivity Analysis of Metamaterial-Inspired SIW Focusing on Resonator Misalignment

IEEE Access
The performance of the metamaterial-inspired substrate-integrated waveguide is discussed in this work, concerning a resonator misalignment potentially caused by the fabrication process.
Stamatios A. Amanatiadis, Vasileios Salonikios, Michalis Nitas, Theodoros Zygiridis, Nikolaos V. Kantartzis, Traianos V. Yioultsis   +5 more
doaj   +1 more source

Efficient Deconvolution in Populational Inverse Problems

International Journal for Numerical Methods in Engineering, Volume 127, Issue 9, 15 May 2026.
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur, Mark Girolami, Andrew M. Stuart   +2 more
wiley   +1 more source

Uncertainty quantification (UQ)

, 2011
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece.
Karniadakis, GE, 3rd Micro and Nano Flows Conference (MNF2011)   +1 more
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