Journal ArticleDOI
Discrete large eddy simulation
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TLDR
This work conjoin the notion of large eddy simulation with those of fuzzy sets and neural networks to describe a class of turbulent flows to improve the filtering procedure.About:
This article is published in Communications in Nonlinear Science and Numerical Simulation.The article was published on 2001-03-01. It has received 5 citations till now. The article focuses on the topics: Large eddy simulation & K-epsilon turbulence model.read more
Citations
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Journal ArticleDOI
Notes on modelling of environmental transport in wetland
Li Zeng,Guoqian Chen +1 more
TL;DR: In this paper, a basic model for environmental transport of momentum, heat and mass transfer in the wetland is presented, where phase average is used to smear out the discontinuity between the two phases of water and solid.
Journal ArticleDOI
A Turbulent-Wake Estimation Using Radial Basis Function Neural Networks
TL;DR: In this paper, an estimation of the fluctuations in the passive-tracer concentration for the turbulent wake behind an airfoil is presented based on experimental modelling using Radial Basis Function Neural Networks.
Journal ArticleDOI
An effective low dissipation method for compressible flows
TL;DR: Results show that the proposed scheme is a promising candidate for the DNS (Direct Numerical Simulation) and the LES (Large Eddy Simulation) for compressible flows.
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A passive scalar sub-grid scale model and its application to airflow simulation around a building
TL;DR: In this paper, a passive scalar SGS model (PS-SGS) was derived based on the hypotheses about the sheet-like structure in Taylor scale, and the kinetic energy SGS was improved with the derived PS.
A study on the characterization of smoke movement in shafts with different fire source positions
TL;DR: In this article, experimental and numerical simulation methods were combined to simulate the changing course of the temperature and velocity fields in nine different fire scenes, and the characteristics of smoke movement in shafts with different fire source position factors (h/H) were quantitatively investigated.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Fuzzy Set Theory and Its Applications
TL;DR: In this paper, a new book about fuzzy set theory and its applications is presented, which can be used to explore the knowledge of the knowledge in a new way, even for only few minutes to read a book.
Book
Artificial Neural Networks: Approximation and Learning Theory
TL;DR: Drawing together work previously scattered in space and time, the book gives a unified view of network learning not available in any other single location, and forges fundamental links between network learning and modern mathematical statistics.
Journal ArticleDOI
Remarks on large eddy simulation
TL;DR: For large eddy simulation of turbulent flows, some analysis and general remarks on the filtering operation and modeling under small filtering length scales are presented in this paper, where the authors also present a model for large eddies.
Journal ArticleDOI
A formulation on large eddy simulation
TL;DR: In this article, a formulation on large eddy simulation with the idea motivated by Fourier series representation is presented, and a set of filtered equations are obtained, based on the Fourier-series representation.