Results 51 to 60 of about 3,846 (183)

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, Volume 98, Issue 5, Page 557-577, May 2026.
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, B. Després, M. A. Puscas, C. Fiorini   +3 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

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

, 2018
A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough comparisons.
Barth, Andrea, Franzelin, Fabian, Haasdonk, Bernard, Kröker, Ilja, Köppel, Markus, Nowak, Wolfgang, Oladyshkin, Sergey, Pflüger, Dirk, Rohde, Christian, Santin, Gabriele, Wittwar, Dominik   +10 more
core   +1 more source

Thermal Segregation and Reddening in Europa's Double Ridges

Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Europa's double ridges often display lower albedo and redder color than their surroundings. Their unique topography may cause sublimation‐driven darkening due to illumination and self‐heating—the process of thermal segregation. We apply an advanced 3D thermophysical model, including shadowing and self‐heating through mutual exchange of ...
Kya C. Sorli, Paul O. Hayne, Lucas Lange, Sylvain Piqueux   +3 more
wiley   +1 more source

Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6)

Frontiers in Climate, 2021
Uncertainty quantification (UQ) in weather and climate models is required to assess the sensitivity of their outputs to various parameterization schemes and thereby improve their consistency with observations.
Raju Pathak, Raju Pathak, Hari Prasad Dasari, Samah El Mohtar, Aneesh C. Subramanian, Sandeep Sahany, Sandeep Sahany, Saroj Kanta Mishra, Omar Knio, Ibrahim Hoteit   +9 more
doaj   +1 more source

Polynomial-Chaos-based Kriging

, 2015
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core   +1 more source

Uncertainty Quantification in Planning Aircraft Ground Movement Operations With Towbarless Robotic Tractors

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta, Alberto Olivares, Ernesto Staffetti   +2 more
wiley   +1 more source

Comparison of non-intrusive approaches to uncertainty propagation in orbital mechanics [PDF]

, 2015
The paper presents four different non-intrusive approaches to the propagation of uncertainty in orbital dynamics with particular application to space debris orbit analysis.
Kubicek, Martin, Minisci, Edmondo, Riccardi, Annalisa, Tardioli, Chiara, Vasile, Massimiliano   +4 more
core  

Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Tropical Pacific

, 2015
The authors present a Polynomial Chaos (PC)-based Bayesian inference method for quantifying the uncertainties of the K-Profile Parametrization (KPP) within the MIT General Circulation Model (MITgcm) of the tropical pacific. The inference of the uncertain
Hoteit, Ibrahim, Jackson, Charles S., Knio, Omar M., Sraj, Ihab, Zedler, Sarah E.   +4 more
core   +1 more source

Sense‐Making and Gratitude in the Aftermath of Hurricane Helene

Journal of Clinical Psychology, Volume 82, Issue 3, Page 308-316, March 2026.
ABSTRACT Objective Early on the morning of September 27, 2024, Hurricane Helene roared through the Southeastern United States, leaving a trail of devastation to be followed by a recovery period that will last months, and, in some places, even years. The purpose of the current study was to analyze the extent to which online posts in response to a well ...
Noah F. Britt, Robin M. Kowalski, Cora Dodson   +2 more
wiley   +1 more source