International Journal of Highway Engineering (한국도로학회논문집)

Korean Society of Road Engineers (한국도로학회)
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Parameter-setting-free algorithm to determine the individual sound power levels of noise sources

적응형 파라미터 알고리즘을 이용한 개별 소음원의 음향파워 예측 연구

  • Mun, Sungho (Seoul National Univ. of Science and Technology)
  • Received : 2018.04.20
  • Accepted : 2018.04.30
  • Published : 2018.06.15
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Abstract

PURPOSES : We propose a parameter-setting-free harmony-search (PSF-HS) algorithm to determine the individual sound power levels of noise sources in the cases of industrial or road noise environment. METHODS :In terms of using methods, we use PSF-HS algorithm because the optimization parameters cannot be fixed through finding the global minimum. RESULTS:We found that the main advantage of the PSF-HS heuristic algorithm is its ability to find the best global solution of individual sound power levels through a nonlinear complex function, even though the parameters of the original harmony-search (HS) algorithm are not fixed. In an industrial and road environment, high noise exposure is harmful, and can cause nonauditory effects that endanger worker and passenger safety. This study proposes the PSF-HS algorithm for determining the PWL of an individual machine (or vehicle), which is a useful technique for industrial (or road) engineers to identify the dominant noise source in the workplace (or road field testing case). CONCLUSIONS : This study focuses on providing an efficient method to determine sound power levels (PWLs) and the dominant noise source while multiple machines (or vehicles) are operating, for comparison with the results of previous research. This paper can extend the state-of-the-art in a heuristic search algorithm to determine the individual PWLs of machines as well as loud machines (or vehicles), based on the parameter-setting-free harmony-search (PSF-HS) algorithm. This algorithm can be applied into determining the dominant noise sources of several vehicles in the cases of road cross sections and congested housing complex.

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References

  1. Chootinan, P. , Chen, A. (2006). Constraint handing in genetic algorithms using a gradient-based repair method, Computers and Operation Research 33, pp.2263-2281. https://doi.org/10.1016/j.cor.2005.02.002
  2. Fung, R.Y.K., Tang, J.F., Wang, D. (2002). Extension of a hybrid genetic algorithm for nonlinear programming problems with equality and inequality constraints, Computers and Operations Research 29, pp.261-274. https://doi.org/10.1016/S0305-0548(00)00068-X
  3. Geem, Z-W, Kim, J-H, Loganathan, G.V. (2001). A new heuristic optimization algorithm: harmony search. Simulation 76, pp.60- 68. https://doi.org/10.1177/003754970107600201
  4. Geem, Z-W., Sim, K-B. (2010). Parameter-setting-free harmony search algorithm. Applied Mathematics and Computation 217, pp.3881-3889. https://doi.org/10.1016/j.amc.2010.09.049
  5. Kang, S.L., Geem, Z.W. (2004). A new structural optimization method based on the harmony search algorithm. Computers & Structures 82(8-9), pp.781-798. https://doi.org/10.1016/j.compstruc.2004.01.002
  6. Lee, K.S., Geem, Z.W. (2004). A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering 194, pp.3902-3933.
  7. Lee, K-S., Geem, Z-W., Lee, S-H., Bae, K-W. (2005). The harmony search heuristic algorithm for discrete structural optimization. Engineering Optimization 37, pp.663-684. https://doi.org/10.1080/03052150500211895
  8. Lee, S., Mun, S. (2014). Improving a model for the dynamic modulus of asphalt using the modified harmony search algorithm. Expert Systems with Applications, 41, pp.3856- 3860. https://doi.org/10.1016/j.eswa.2013.12.021
  9. Lu, S-Y., Hong, Y-J. (2005). Least square error method to estimate individual power of noise sources under simultaneous operating conditions. International Journal of Industrial Ergonomics 35, pp.755-760. https://doi.org/10.1016/j.ergon.2005.01.011
  10. Mun, S., Geem, Z-W. (2009a). Determination of individual sound power levels of noise sources using a harmony search algorithm. International Journal of Industrial Ergonomics 39, pp.366-370. https://doi.org/10.1016/j.ergon.2008.11.001
  11. Mun, S., Geem, Z-W. (2009b). Determination of viscoelastic and damage properties of hot mix asphalt concrete using a harmony search algorithm. Mechanics of Materials 41, pp.339-353. https://doi.org/10.1016/j.mechmat.2008.11.008
  12. Mun, S., Lee, S. (2011). Identification of viscoelastic functions for hot-mix asphalt mixtures using a modified harmony search algorithm. Journal of Computing in Civil Engineering 25, pp.139-148. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000078
  13. Mun, S., Cho, Y-H. (2012). Modified harmony search optimization for constrained design problems. Expert System with Applications, 39, pp.419-423. https://doi.org/10.1016/j.eswa.2011.07.031
  14. Rathe, E.J. (1969). Note on two common problems of sound propagation. Journal of Sound and Vibration 10, pp.472-479. https://doi.org/10.1016/0022-460X(69)90225-9
  15. Ver, I.L., Beranek, L.L. (2006). Noise and vibration control engineering. 2nd ed. John Wiley & Sons, Inc., New Jersey.