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Application of a fuzzy expert system for failure load estimation of two serial pinned or bolted sandwich composite plates

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Veröffentlicht/Copyright: 29. März 2016
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Abstract

The present paper reports about the application of fuzzy expert system for estimating failure loads of two serial pinned/bolted sandwich composite plates. Considered composite material for present application was produced by a glass fiber reinforced layer and aluminum sheets to create sandwich structures. Briefly outlines, the experimental data of a previous study were related to different geometrical boundary conditions and also numerous preload moments as 0 (pinned), 2, 3, 4 and 5 (bolted) Nm. Anyway, both a fuzzy expert system and a regression analysis were applied depending on mentioned geometrical parameters and pinned/bolted joint arrangements in this work. Obtained results point out that the fuzzy expert system was more suitable than regression analysis method for modeling and estimation of analyzed sandwich composite. Achievements of the fuzzy expert system and the regression analysis methods were considered in terms of error ratios and mean absolute deviations.

Kurzfassung

Im vorliegenden Beitrag wird über die Anwendung eines Fuzzy-Expertensystems zur Abschätzung der Versagenslasten für zwei seriell verstiftete oder verschraubte Sandwich-Kompositplatten berichtet. Das entsprechende Kompositmaterial wurde hierfür aus einer Glasfaser-Verstärkungslage und Aluminiumblechen hergestellt, um eine Sandwich-Struktur zu erzielen. Der Zusammenhang zwischen experimentellen Daten einer zuvor ausgeführten Studie und einigen verschiedenen geometrischen Randbedingungen bzw. mehreren Vorbeladungsmomenten von 0 (verstiftet), 2, 3, 4 und 5 (verschraubt) nm wurde hergestellt. In jedem Fall wurden in dieser Studie ein Fuzzy-Expertensystem und eine Regressionsanalyse durchgeführt. Die Ergebnisse deuten darauf hin, dass sich das Fuzzy-Expertensystem als geeigneter gegenüber der Regressionsanalyse erwies, um das analysierte Sandwich-Komposit zu modellieren und zu bewerten. Dabei wurden die Effekte des Fuzzy-Expertensystems und der Regressionsanalyse in Bezug auf die Fehlerverhältnisse und die durchschnittliche absolute Abweichung bewertet.


*Correspondence Address, Associated Prof. Dr. Faruk Sen, Department of Energy Systems Engineering, Technology Faculty, Muğla Sıtkı Koçman University, 48000 Kötekli-Muğla, Turkey. E-mail:

Dr. Faruk Sen, born in 1977, is Associate Professor at Energy Systems Engineering, Technology Faculty, Muğla Sıtkı Koçman University, Muğla, Turkey. He is mechanical engineer. He obtained his PhD degree from Dokuz Eylul University, Izmir, Turkey, 2007. His research interests coating materials, modeling, failure analyses, joints, composite materials and finite element methods.

Dr. Serkan Ballı is Assistant Professor in the Information Systems Engineering Department at Muğla Sıtkı Kocman University in Muğla, Turkey. He received his MSc degree in Statistics and Computer Science, Muğla University, Turkey in 2005 and his PhD degree from the Department of Computer Engineering, Ege University, Izmir, Turkey in 2010. His research interests include fuzzy logic, expert systems, intelligent systems and decision support systems.


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Published Online: 2016-03-29
Published in Print: 2016-04-04

© 2016, Carl Hanser Verlag, München

Heruntergeladen am 16.4.2026 von https://www.degruyterbrill.com/document/doi/10.3139/120.110864/html
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