EN
ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL
Abstract
In this study, the purpose of this paper is prediction of nondimensional maximum displacement and bending moments of thick plates on Winkler-type elastic foundation using Artificial Neural Network. For this purpose, training and testing database were created by using a computer software, coded in Fortran, based on Finite Element Model. An eight-noded (PBQ8) quadrilateral finite element based on Mindlin plate theory and Winkler foundation model are adopted for the finite element solution. Nondimensional subgrade reaction modulus, span/thickness ratio of the plate and aspect ratio of the plate were considered as input parameters and nondimensional vertical displacement and bending moments of thick plates were considered as output parameters. It is seen that the solutions by ANN agree very well with the solutions by FEM, and ANN significantly reduces analysis time
Keywords
References
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- [4] Civalek, Ö. and Çatal, H.H., Geriye Yayılma Yapay Sinir Ağı Kullanarak Elastik Kirişlerin Statik ve Dinamik Analizi, DEÜ Mühendislik Fakültesi Fen ve Mühendislik dergisi, 6(1), 1-16, 2004.
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Details
Primary Language
English
Subjects
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Journal Section
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Publication Date
March 1, 2012
Submission Date
March 1, 2012
Acceptance Date
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Published in Issue
Year 2012 Volume: 4 Number: 1
APA
Öztekin, E., & Ozgan, K. (2012). ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL. International Journal of Engineering and Applied Sciences, 4(1), 67-76. https://izlik.org/JA69CJ49ZH
AMA
1.Öztekin E, Ozgan K. ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL. IJEAS. 2012;4(1):67-76. https://izlik.org/JA69CJ49ZH
Chicago
Öztekin, E., and K. Ozgan. 2012. “ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL”. International Journal of Engineering and Applied Sciences 4 (1): 67-76. https://izlik.org/JA69CJ49ZH.
EndNote
Öztekin E, Ozgan K (March 1, 2012) ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL. International Journal of Engineering and Applied Sciences 4 1 67–76.
IEEE
[1]E. Öztekin and K. Ozgan, “ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL”, IJEAS, vol. 4, no. 1, pp. 67–76, Mar. 2012, [Online]. Available: https://izlik.org/JA69CJ49ZH
ISNAD
Öztekin, E. - Ozgan, K. “ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL”. International Journal of Engineering and Applied Sciences 4/1 (March 1, 2012): 67-76. https://izlik.org/JA69CJ49ZH.
JAMA
1.Öztekin E, Ozgan K. ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL. IJEAS. 2012;4:67–76.
MLA
Öztekin, E., and K. Ozgan. “ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL”. International Journal of Engineering and Applied Sciences, vol. 4, no. 1, Mar. 2012, pp. 67-76, https://izlik.org/JA69CJ49ZH.
Vancouver
1.E. Öztekin, K. Ozgan. ANALYSIS OF THICK PLATES ON ELASTIC FOUNDATION BY BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK USING ONE PARAMETER FOUNDATION MODEL. IJEAS [Internet]. 2012 Mar. 1;4(1):67-76. Available from: https://izlik.org/JA69CJ49ZH