Results 91 to 100 of about 53,557 (225)

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

Stochastic tsunami inundation flow simulation via polynomial chaos approach

Journal of Fluid Science and Technology, 2018
In this research, 2D shallow water equations are expanded by an intrusive polynomial chaos approach for efficient uncertainty quantification in tsunami inundation flows.
Wataru YAMAZAKI, Tatsuya KATO, Tsubasa HOMMA, Koji SHIMOYAMA, Shigeru OBAYASHI   +4 more
doaj   +1 more source

Propagation of epistemic uncertainty in queueing models with unreliable server using chaos expansions

, 2017
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, Bachi, Katia, Chauvière, Cédric, Djellout, Hacène   +3 more
core  

Uncertainty quantification via polynomial chaos expansion of myocardial fibre orientation and cardiac activation patterns

The Journal of Physiology, EarlyView.
Abstract figure legend Graphical representation of methods. We implemented three biventricular geometric models (Zenger et al., 2020) with rule‐based myocardial fibre orientations (Bayer et al., 2018). We evaluated variability in the fibre orientation via four sets of parameter distributions to determine the role of the primary and imbrication angles ...
Lindsay C. R. Tanner, Anna Busatto, Jake A. Bergquist, Wilson W. Good, Brian Zenger, Gernot Plank, Akil Narayan, Karli Gillette, Rob S. MacLeod   +8 more
wiley   +1 more source

Deep Polynomial Chaos Expansion

Polynomial chaos expansion (PCE) is a classical and widely used surrogate modeling technique in physical simulation and uncertainty quantification. By taking a linear combination of a set of basis polynomials - orthonormal with respect to the distribution of uncertain input parameters - PCE enables tractable inference of key statistical quantities ...
Exenberger, Johannes, Ranftl, Sascha, Peharz, Robert   +2 more
openaire   +2 more sources

Development and Optimization of a Nanophytosomes‐Based Thermogel as a Topical Anti‐Psoriatic for Increased Solubility and Bioavailability

MedComm – Biomaterials and Applications, Volume 5, Issue 2, June 2026.
Schematic illustration of the development, optimization, and therapeutic evaluation of the Leucas aspera phytosome‐based thermogel for topical antipsoriatic therapy, highlighting its enhanced solubility, skin deposition, and in vivo efficacy in an imiquimod‐induced psoriasis model. Created with BioRender.com.
Ananda Kumar Chettupalli, Thatipally Rajeshwar, Sarad Pawar Naik Bukke   +2 more
wiley   +1 more source

Probability’s uncertainty in stochastic dynamical control systems

RUDN Journal of Engineering Research, 2014
This study applies generalized polynomial chaos theory to dynamic systems with uncertainties.
K A Pupkov, E A Smetanina
doaj  

Efficient Statistical Extraction of the Per-Unit-Length Capacitance and Inductance Matrices of Cables with Random Parameters

Advanced Electromagnetics, 2015
Cable bundles often exhibit random parameter variations due to uncertain or uncontrollable physical properties and wire positioning. Efficient tools, based on the so-called polynomial chaos, exist to rapidly assess the impact of such variations on the ...
P. Manfredi, F. Canavero
doaj   +1 more source

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

Local/global non-intrusive coupling strategy for robust design: a first attempt

Advanced Modeling and Simulation in Engineering Sciences
This work investigates how non-intrusive local/global coupling strategies can be applied in the context of robust design. The objective is to propagate uncertainties from the local to the global scale using non-intrusive techniques, in order to estimate ...
Léa Karaouni, Ludovic Chamoin, Olivier Allix, Stéphane Guinard   +3 more
doaj   +1 more source