Startseite Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm
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Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm

  • Ali Rıza Yıldız , Enes Kurtuluş , Emre Demirci , Betul Sultan Yıldız und Selçuk Karagöz
Veröffentlicht/Copyright: 24. Dezember 2015
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Abstract

In literature, a lot of research works have been presented on crashworthiness in order to develop crash performance of vehicles and thin-wall structures. In this research, a new hybrid optimization algorithm based on gravitational search algorithm and Nelder-Mead algorithm is introduced to improve crash performance of vehicles during frontal impact. The results show that the hybrid approach is very effective to develop crash performance of the vehicle components and thin-wall structures.

Kurzfassung

In der Literatur wurden immense Forschungsarbeiten in Bezug auf das Crashverhalten gezeigt, um die Crashperformanz von Fahrzeugen und Crashboxen zu verbessern. In den diesem Beitrag zugrunde liegenden Forschungsarbeiten wurde ein neues Crashboxdesign entwickelt, das auf dem Gravitationssuch- und Nelder-Mead-Algorithmus basiert, um die Crashperformanz von Fahrzeugen beim Frontalaufprall zu verbessern. Hierfür wurden die maximale Spitzenkraft und der Betrag der Energieabsorption als objektive Funktionen gewählt. Die numerischen Studien beinhalten die Bestimmung der Energieabsorptionscharakteristika verschiedener Geometrien, wie zum Beispiel Trigger der Crashboxen. Die Untersuchungen zeigen, dass sich der Hybrid-Ansatz als sehr effektiv bei der Crashperformanzverbesserung von Automobilteilen und Crashboxen erweist.


§Correspondence Address, Ali Riza Yildiz, Department of Mechanical Engineering, Bursa Technical University, Bursa, Turkey. E-mail:

Dr. Ali Riza Yildiz is Associate Professor in the Department of Mechanical Engineering, Bursa Technical University (BTU), Turkey. He is Vice Dean of Natural Science & Engineering Faculty of Bursa Technical University and he is also Director of the Multidisciplinary Product Design and Optimization Laboratory (MPDOL) at BTU. He worked on ‘‘Multi-component topology optimization of the structures’” as Research Associate at University of Michigan, Ann Arbor, USA. Furthermore, he worked on a NSF and DOE funded research projects at Center for Advanced Vehicular Systems (CAVS), Mississippi State University, USA. In 2015, he is a winner of TÜBA-GEBİP Young Scientist Outstanding Achievement Award given by the Turkish Academy of Sciences (TÜBA). His research interests are vehicle design, vehicle crashworthiness, vehicle and pedestrian safety, crush box design and optimization, shape and topology optimization of vehicle components, meta-heuristic optimization techniques and sheet metal forming.

Enes Kurtuluş received his Bachelor degree from the Department of Mechanical Engineering, Uludağ Üniversity, Turkey. He completed his MSc thesis on crash performance of vehicle components. He is an R & D engineer in Yesilova Holding.

Emre Demirci received his Bachelor and Master degree from the Department of Mechanical Engineering, Yildiz Technical University in İstanbul and Bursa Technical University, Turkey, respectively. He worked on optimum design of automobile crash-boxes during his master studies. His master study was supported by the Ministry of Science, Industry and Technology of Turkey. He is currently a research assistant at Bursa Technical University.

Betul Sultan Yildiz is a PhD student at Bursa Technical University, Turkey. Her research interests are optimum design of vehicle components and meta-heuristic optimization algorithms.

Selçuk Karagöz received his Bachelor and Master degree from the Department of Mechanical Engineering, Uludağ Üniversity, Turkey. He is an expert on sheet metal forming and crash analysis. He is currently a lecturer at Bursa Technical University, Turkey.


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Published Online: 2015-12-24
Published in Print: 2016-01-05

© 2016, Carl Hanser Verlag, München

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