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Optimization of vehicle crashworthiness problems using recent twelve metaheuristic algorithms

  • Sumit Kumar

    Sumit Kumar received the B.E. degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the M.E. degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a Ph.D. Research Scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. He has more than six years of teaching experience. He has published technical articles in various national/international peer-reviewed journals such as Knowledge-Based Systems (Elsevier), Expert Systems With Applications (Elsevier), Engineering With Computers (Springer), and Archives of Computational Methods in Engineering (Springer). His major research interests include metaheuristics techniques, multiobjective optimization, evolutionary algorithm, and renewable energy systems. He is a member of many professional bodies like ISHRAE. He has received numerous awards and grants. He is serving as a Reviewer for leading journals such as Elsevier and Springer.

         , Betul Sultan Yildiz

    Dr. Betul Sultan Yildiz is an Associate Professor at Bursa Uludağ University, Bursa, Turkey. Dr. Betül Sultan Yıldız completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

         , Pranav Mehta

    Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multiobjective optimization, solar-thermal technologies, and renewable energy.

         , Sadiq M. Sait

    Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and I.T. Research, KFUPM, Dhahran, Saudi Arabia.

         , Abdelazim G. Hussien

    Abdelazim G. Hussien is a teaching assistant at Department of Mathematics, Faculty of Science, Fayoum University. He received his BSc. with honors in 2013 and M.Sc. degree in 2018, both from Menoufia University, Faculty of Science, Pure Mathematics and Computer Science Department, Egypt. Abdelazim is a member of Scienti

         and Ali Riza Yildiz

    Dr. Ali Riza Yildiz is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing

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Published/Copyright: October 10, 2024
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Materials Testing
From the journal Materials Testing Volume 66 Issue 11

Abstract

In recent years, numerous optimizers have emerged and been applied to address engineering design challenges. However, assessing their performance becomes increasingly challenging with growing problem complexity, especially in the realm of real-world large-scale applications. This study aims to fill this gap by conducting a comprehensive comparative analysis of twelve recently introduced metaheuristic optimizers. The analysis encompasses real-world scenarios to evaluate their effectiveness. Initially, a review was conducted on twelve prevalent metaheuristic methodologies to understand their behavior. These algorithms were applied to optimize an automobile structural design, focusing on minimizing vehicle weight while enhancing crash and noise, vibration, and harshness characteristics. To approximate the structural responses, a surrogate model employing radial basis functions was utilized. Notably, the MPA algorithm excelled in automobile design problems, achieving the lowest mass value of 96.90608 kg during both mid-range and long-range iterations, demonstrating exceptional convergence behavior.

Keywords: crashworthiness; engineering optimization; automobile design; surrogate models; structural optimization
Corresponding author: Ali Riza Yildiz, Department of Mechanical Engineering, Bursa Uludag University, Görükle Bursa, Bursa, 16059, Türkiye, E-mail:

About the authors

Sumit Kumar

Sumit Kumar received the B.E. degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the M.E. degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a Ph.D. Research Scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. He has more than six years of teaching experience. He has published technical articles in various national/international peer-reviewed journals such as Knowledge-Based Systems (Elsevier), Expert Systems With Applications (Elsevier), Engineering With Computers (Springer), and Archives of Computational Methods in Engineering (Springer). His major research interests include metaheuristics techniques, multiobjective optimization, evolutionary algorithm, and renewable energy systems. He is a member of many professional bodies like ISHRAE. He has received numerous awards and grants. He is serving as a Reviewer for leading journals such as Elsevier and Springer.

Betul Sultan Yildiz

Dr. Betul Sultan Yildiz is an Associate Professor at Bursa Uludağ University, Bursa, Turkey. Dr. Betül Sultan Yıldız completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

Pranav Mehta

Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multiobjective optimization, solar-thermal technologies, and renewable energy.

Sadiq M. Sait

Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and I.T. Research, KFUPM, Dhahran, Saudi Arabia.

Abdelazim G. Hussien

Abdelazim G. Hussien is a teaching assistant at Department of Mathematics, Faculty of Science, Fayoum University. He received his BSc. with honors in 2013 and M.Sc. degree in 2018, both from Menoufia University, Faculty of Science, Pure Mathematics and Computer Science Department, Egypt. Abdelazim is a member of Scienti

Ali Riza Yildiz

Dr. Ali Riza Yildiz is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions:The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Published Online: 2024-10-10
Published in Print: 2024-11-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Crushing performance of an additively manufactured bio-inspired hybrid energy absorption profile
  3. Implant bone screw characteristics of a printed PLA-based material
  4. Effect of deformation on the mechanical property of reduced activation ferritic/martensitic steel refined by closed-dual equal channel angular pressing
  5. Effect of post-oxidation times in the nitrocarburizing process on the wear behavior of an AISI 4140 steel
  6. Production of (B4C+FeTi) reinforced and Fe based composites by mechanical alloying
  7. Tensile strength of friction stir additive manufactured laminated AA 6061/TiC/GS composites
  8. Microstructure evolution of AlSi10Mg alloy in RAP process
  9. Wear behaviour of titanium diboride and zirconium carbide reinforced LM13 hybrid composite for automotive applications
  10. Influence of post heat treatment on tribological and microstructural properties of plasma wire arc additive manufactured maraging steels
  11. Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components
  12. Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm
  13. Optimization of vehicle crashworthiness problems using recent twelve metaheuristic algorithms
  14. Development of zeolite 5A-incorporated polyvinyl alcohol membrane for desalination by pervaporation
  15. Characterization of bauxite residue filled sisal/glass fiber reinforced hybrid composites for structural applications
  16. Microstructure and mechanical properties of Al2O3/AZ61 Mg alloy surface composite developed using friction stir processing and groove reinforcement filling processes
  17. Method for the design and evaluation of binary sensitivity tests
https://doi.org/10.1515/mt-2024-0187
Keywords for this article
crashworthiness; engineering optimization; automobile design; surrogate models; structural optimization

Articles in the same Issue

  1. Frontmatter
  2. Crushing performance of an additively manufactured bio-inspired hybrid energy absorption profile
  3. Implant bone screw characteristics of a printed PLA-based material
  4. Effect of deformation on the mechanical property of reduced activation ferritic/martensitic steel refined by closed-dual equal channel angular pressing
  5. Effect of post-oxidation times in the nitrocarburizing process on the wear behavior of an AISI 4140 steel
  6. Production of (B4C+FeTi) reinforced and Fe based composites by mechanical alloying
  7. Tensile strength of friction stir additive manufactured laminated AA 6061/TiC/GS composites
  8. Microstructure evolution of AlSi10Mg alloy in RAP process
  9. Wear behaviour of titanium diboride and zirconium carbide reinforced LM13 hybrid composite for automotive applications
  10. Influence of post heat treatment on tribological and microstructural properties of plasma wire arc additive manufactured maraging steels
  11. Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components
  12. Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm
  13. Optimization of vehicle crashworthiness problems using recent twelve metaheuristic algorithms
  14. Development of zeolite 5A-incorporated polyvinyl alcohol membrane for desalination by pervaporation
  15. Characterization of bauxite residue filled sisal/glass fiber reinforced hybrid composites for structural applications
  16. Microstructure and mechanical properties of Al2O3/AZ61 Mg alloy surface composite developed using friction stir processing and groove reinforcement filling processes
  17. Method for the design and evaluation of binary sensitivity tests
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