Abstract
This research proposes a multi-objective reliability-based topology optimization (MORBTO) for structural design, which considers uncertain structural parameters based on a fuzzy set model. The new technique is established in the form of multi-objective optimization where the equivalent possibilistic safety index (EPSI) is included as one of the objective functions along with mass, and compliance. This technique can reduce complexity due to a double-loop nest problem used previously due to performing single objective optimization. The present technique can accomplish within one optimization run using a multi-objective approach. Two design examples are used to demonstrate the present technique, which have the objectives as structural mass and compliance with the constraint of structural strength. The results show the proposed technique is effective and simple compared to previous techniques.
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Acknowledgments
The authors are grateful for the financial support provided by King Mongkut’s Institute of Technology Ladkrabang, the Thailand Research Fund (RTA6180010 and MRG6080148).
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Suwin Sleesongsom received the Ph.D. degree in Engineering from Khon Kaen University, Khon Kaen, Thailand, in 2012. Currently, he is an Assistant Professor in the Department of Aeronautical Engineering, International Academy of Aviation Industry, King Mongkut’s Institute of Technology Ladkrabang. His research interests include multidisciplinary design optimization, mechanism/machine design, aeroelastic design of aircraft structures, and mechanical vibration.
Sujin Bureerat received the Ph.D. degree in Engineering from Manchester University, Manchester, U.K., in 2001. Currently, he is a Professor in the Department of Mechanical Engineering, KhonKaen University. His research interests include multidisciplinary design/optimization, evolutionary computation, aeroelastic design of aircraft structures, logistics, finite element analysis, and experimental modal analysis.
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Sleesongsom, S., Bureerat, S. Multi-objective reliability-based topology optimization of structures using a fuzzy set model. J Mech Sci Technol 34, 3973–3980 (2020). https://doi.org/10.1007/s12206-020-2207-8
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DOI: https://doi.org/10.1007/s12206-020-2207-8