Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Reduction of Air-pumping Noise based on a Genetic Algorithm

유전자 알고리즘을 이용한 타이어 공력소음의 저감

  • 김의열 (인하대학교 대학원 기계공학과) ;
  • 황성욱 (인하대학교 대학원 기계공학과) ;
  • 김병현 (인하대학교 대학원 기계공학과) ;
  • 이상권 (인하대학교 기계공학과)
  • Received : 2011.10.31
  • Accepted : 2011.12.09
  • Published : 2012.01.20
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Abstract

The paper presents the novel approach to solve some problems occurred in application of the genetic algorithm to the determination of the optimal tire pattern sequence in order to reduce the tire air-pumping noise which is generated by the repeated compression and expansion of the air cavity between tire pattern and road surface. The genetic algorithm has been used to find the optimal tire pattern sequence having a low level of tire air-pumping noise using the image based air-pumping model. In the genetic algorithm used in the previous researches, there are some problems in the encoding structure and the selection of objective function. The paper proposed single encoding element with five integers, divergent objective function based on evolutionary process and the optimal evolutionary rate based on Shannon entropy to solve the problems. The results of the proposed genetic algorithm with evolutionary process are compared with those of the randomized algorithm without evolutionary process on the two-dimensional normal distribution. It is confirmed that the genetic algorithm is more effective to reduce the peak value of the predicted tire air-pumping noise and the consistency and cohesion of the obtained simulation results are also improved in terms of probability.

Keywords

References

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  1. Prediction of Tire Pattern Noise Based on Image Signal Processing vol.23, pp.8, 2013, https://doi.org/10.5050/KSNVE.2013.23.8.707
  2. Run-flat Tire Optimization Using Response Surface Method and Genetic Algorithm vol.25, pp.4, 2015, https://doi.org/10.5050/KSNVE.2015.25.4.247