Prediction of Turbulence Statistics Behind a Square Cylinder Using Neural Networks and Fuzzy Logic-Reference-Cited by-同舟云学术

Prediction of Turbulence Statistics Behind a Square Cylinder Using Neural Networks and Fuzzy Logic

Published:2003-03-01 Issue:2 Volume:125 Page:385-387
ISSN:0098-2202
Container-title:Journal of Fluids Engineering
language:en
Short-container-title:

Author:

Panigrahi P. K.¹,Dwivedi Manish¹,Khandelwal Vinay¹,Sen Mihir²

Affiliation:

1. Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, UP 208016, India

2. Department of Aerospace Engineering, University of Notre Dame, Notre Dame, IN 46556

Abstract

Experiments are carried out behind a square cylinder mounted in the freestream of a wind tunnel, and hot-wire anemometry is used to determine the profiles of the mean and statistical turbulence quantities. Artificial neural networks and fuzzy-logic models successfully predict the statistical quantities like mean velocity profiles and Reynolds stresses. The fuzzy-logic modeling is more convenient to use, is less computationally intensive, and gives a higher correlation coefficient in comparison to the neural network.

Publisher

ASME International

Subject

Mechanical Engineering

Link

http://asmedigitalcollection.asme.org/fluidsengineering/article-pdf/125/2/385/5901559/382_1.pdf

Reference5 articles.

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3. Panigrahi, P. K., Khandelwal, V., and Sen, M., 2002, “Prediction of Turbulent Statistics Behind a Rib Using Artificial Neural Network,” Proceedings of the Fifth ISHMT/ASME Heat & Mass Transfer Conference & Sixteenth National Heat & Mass Transfer Conference, Calcutta, Jan. 3–5, Tata McGraw-Hill, pp. 676–681.

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