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A fuzzy inference system (FIS) modeling technique to treat a nuclear reliability engineering problem is presented.
The Koiter Newton method is a novel reduced-order modeling technique to efficiently trace the geometrically nonlinear equilibrium path of the structure in the presence of buckling.
In this paper we present a novel extended Krylov subspace reduced-order modeling technique to efficiently simulate time- and frequency-domain wavefields in open complex structures.
This possibility encourages us to use this inverse modeling technique to calculate CO2 flooding relative permeability curves under near miscible and miscible conditions (Watson et al. 1984; Reynolds et al. 2004; Eydinov et al. 2007).
This diversity of approaches does however present both an opportunity and an obstacle for those trying to decide which modeling technique to apply, and interpreting the management implications of model output.
Therefore, this study firstly employed computational fluid dynamics (CFD) modeling technique to analyze mass transfer process in a rotating packed bed (RPB) by adding user defined function (UDF) programming to Fluent solver in order to expand its abilities to RPB.
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Clustering analysis uses Bayesian modeling techniques to simultaneously produce clusters and assign individuals to these "unsupervised" cluster classifications.
As opposed to most studies, we propose modeling techniques to analyze the supply side of the market and its distribution.
Among the modeling techniques to characterize soil structure, those using fractal theory are in majority.
An application of these modeling techniques to a case study is provided.
Methods of handling and transporting grain and modeling techniques to model loads and flow behavior are explained.
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