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Multi-objective optimum design of TBR tire structure for enhancing the durability using genetic algorithm

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Abstract

This paper is concerned with the multi-objective optimization of the structure of TBR (Truck and bus radial) tire by making use of Genetic algorithm (GA) and Artificial neural network (ANN) in order to effectively enhance the tire durability. Four different types of continuous and discrete design variables are chosen by the carcass path, width and angle of tread belts and the rubber modulus of sidewall and base strip, while the objective functions are defined by the peak strain energy at the belt edge and the peak shear strain of carcass. The approximate models of two objective functions are approximated by neural network, and mathematical sensitivity analysis is substituted with the iterative genetic evolution to deal with the discontinuous discrete-type design variables. The weights of two objective functions are traded-off by adjusting the aspiration levels with respect to the ideal levels. The validity of proposed multi-objective optimization method is illustrated through the numerical experiment.

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Authors and Affiliations

  1. Department of Naval Architecture and Ocean Engineering, Hongik University, Sejong, 339-701, Korea

    J. R. Cho

  2. School of Mechanical Engineering, Pusan National University, Busan, 609-735, Korea

    J. H. Lee

Authors
  1. J. R. Cho
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  2. J. H. Lee
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Corresponding author

Correspondence to J. R. Cho.

Additional information

Recommended by Associate Editor Gil Ho Yoon

Jin-Rae Cho received his B.S. degree in Aeronautical Engineering from Seoul National University in 1983. He then received his M.S. and Ph.D. degrees from The University of Texas at Austin in 1993 and 1995, respectively. He is currently a Professor at the Department of Naval Architecture and Ocean Engineering in Hongik University. His major research field is the computational mechanics in solid mechanics, ocean engineering and materials science.

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Cho, J.R., Lee, J.H. Multi-objective optimum design of TBR tire structure for enhancing the durability using genetic algorithm. J Mech Sci Technol 31, 5961–5969 (2017). https://doi.org/10.1007/s12206-017-1140-y

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  • DOI: https://doi.org/10.1007/s12206-017-1140-y

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