Results 111 to 120 of about 767,107 (236)
A stochastic collocation approach for parabolic PDEs with random domain deformations
This work considers the problem of numerically approximating statistical moments of a Quantity of Interest (QoI) that depends on the solution of a linear parabolic partial differential equation.
Castrillon-Candas, Julio E., Xu, Jie
core
ABSTRACT Counterflow heat exchangers (CHXs) thermally couple consumers and producers to a district heating network (DHN). Fluctuating loads and control actions naturally lead to unsteady operation conditions of the network and its components, posing a challenge for DHN models and CHX parameterizations based on Nusselt correlations that assume steady ...
Marten Klein +5 more
wiley +1 more source
We derive a new method of conditional Karhunen-Loève (KL) expansions for stochastic coefficients in models of flow and transport in the subsurface, and in particular for the heterogeneous random permeability field.
Mina E. Ossiander +2 more
doaj +1 more source
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
Fluctuating Interfaces in Barotropic Beta‐Plane Turbulence
Abstract Zonal jets manifest themselves as bands with sharp interfaces in the vorticity configuration. We develop an algorithm to track these fluctuating vorticity interfaces and systematically investigate their characteristic spatio‐temporal behaviors.
Sandip Sahoo, Samriddhi Sankar Ray
wiley +1 more source
A dual‐atom catalyst with adjustable proximity effects is depicted, showing that variations in metal–metal interactions can modulate electronic structure, intermediate adsorption, and reaction pathways. These changes guide product selectivity in CO2 reduction and highlight design principles for efficient, tunable DAC systems.
Fanyong Yan +4 more
wiley +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
The current research study proposes an efficient numerical method for obtaining an approximate solution to nonlinear stochastic integral equations implementing the collocation method and the Walsh operational matrices.
Prit Pritam Paikaray +3 more
doaj +1 more source
STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei +3 more
doaj
STOCHASTIC COLLOCATION FOR CORRELATED INPUTS [PDF]
Maria Navarro +2 more
openaire +1 more source

