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Discrete large eddy simulation |
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| Authors: | L TAO K R RAJAGOPAL and G Q CHEN |
| Institution: | 1. Department of Mechanical Engineering, Texas A&M University, College Station, Texas 77843-3123, USA;2. Centre for Environmental Sciences, Peking University, Beijing 100871, China;1. Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, China;2. College of Pharmaceutical Science, Southwest University, Chongqing 400715, China;1. Science and Technology on Scramjet Laboratory, College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China;2. National Innovation Institute of Defense Technology, Chinese Academy of Military Sciences, Beijing 100071, China |
| Abstract: | Despite the intense effort expended towards obtaining a model for describing the turbulent flows of fluid, there is no model at hand that can do an adequate job. This leads us to look for a non-traditional approach to turbulence modeling. In this work we conjoin the notion of large eddy simulation with those of fuzzy sets and neural networks to describe a class of turbulent flows. In previous works we had discussed several issues concerning large eddy simulation such as filtering and averaging. Here, we discuss the use of fuzzy sets to improve the filtering procedure. |
| Keywords: | large eddy simulation fuzzy set neural network turbulence modeling |
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