Parameter-setting-free algorithm to determine the individual sound power levels of noise sources
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2018.06
- 6페이지/ 어도비 PDF
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서지정보
ㆍ발행기관 : 한국도로학회
ㆍ수록지정보 : 한국도로학회논문집 / 20권 / 3호
ㆍ저자명 : Sungho Mun
목차
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL MODELING of the PSFHSALGORITHM
2.1. Mathematical formulation of sound propagation
3. COMPARISONSandCONCLUDING REMARKS
ACKNOWLEDGEMENT
REFERENCES
영어 초록
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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