In this study, numerical analysis was carried out to develop low-noise axial fans, which are often used for ventilation in houses. A commercial program and the turbulence models are used for the analysis of internal fan. Proudman acoustic power model and the Curle surface acoustic power model were used for analysis. As a result, the distribution of flow velocity and pressure around the blade and guide of the fan was high, and low in the center of the fan. Noise from the inner wall of the fan case and the blade surface was the highest at the body and vane connections of the blade, and low at the center of the vane and the center of the body.

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.

Quiet environment is essential for improving quality of living and rest. For example, noisy neighbors degrade quality of sleeping of residents. Due to emphasis on energy saving of buildings, more insulation and tighter sealing is applied for windows, doors, and walls of new buildings. As results, not only energy dissipation of new building is reduced, but also interior of new buildings have become significantly quieter. However, sound and heat insulation performance of existing buildings is relatively worse, when compared to that of recent buildings. As elapse of time, gap between bricks or concrete of building and sealing grows larger, worsening of sound and heat insulation performance of buildings is unavoidable. To provide quiet room for quality control of products or other purposes in noisy environment, indoor noise chamber is required in practice. In present work, sound transmission through indoor noise chamber is measured using different noise sources. For the worst case, noise source and sound transmission of door slam noise is shown.

한국 남해안에서 높게 보고되고 있는 수중소음준위에 대하여 그 소음원을 규명하고자 부산근해의 두 해역에서 파고 1~1.5m의 비교적 조용한 해상 상태일 때 시간별, 깊이별로 10KHz까지 수중소음의 변화를 관측했다. 전체적인 소음준위는 매우 높게 나타났으며, 선박통행이 비교적 뜸했던 A 정점에서는 이들의 편차가 1~2dB 이내로 작은 값을 보였는데 비해 선박 통행이 빈번했던 B 정점에서는 전 주파수대에 걸쳐 그 편차가 각각 4dB와 3dB까지 크게 나타났다. 이것은 그동안 500Hz 이상의 주파수대에서 주 소음원으로 여겨졌던 수면파 외에도 이 해역에서는 선박 소음이 주요 소음원임을 의미하고 있다.

Wind turbine noise become main environmental problem as wind energy have been installed all around. Noise from large wind turbine give annoyance to listener, moreover it increase loading to whole system by restricting blade tip speed. However accurate noise mechanism of wind turbine is not yet examined. This paper reviewed noise source and analysis theory. Broadband noise is main component of wind turbine noise and airfoil self noise is main noise source. These make acoustic analogy hard to apply for analysis. For this reason, experimental equation is method for wind turbine noise prediction up to now. Spectrum analysis shows that vortex shedding noise exists around 1 k~2 k Hz. This region is most sensitive frequency range to human. Thus it is necessary to reduce this noise source.

This paper represents the statistical characteristics of sources and receptors for road traffic noise in apartment complex. Also we suggested that the site-specific characteristics of vertical and horizontal distributions in the complex apartment have been derived using a different analysis for evaluating levels of Leq1h by the apartment floor at a given distance from a road in terms of the flow rate, the mean speed of the traffic, and the percentage of the type vehicles in the day and night periods. As a result, the contribution orders of traffic quantity by the type of vehicles showed as followed: light vehicle>medium vehicle>heavy vehicle>motorcycle. Especially, the mixing ratio of entering the road on the heavy vehicle in the daytime was two times higher than that of in the night. The speed in all types of vehicle is in the range of 41 and 81 km/hr and noise level was not significantly different in day and night-time. The sources of road traffic noise had different variations and uncertainties using a random variable and probability distribution. The sound distribution to receptors by the apartment floor showed S curve between 1st floor and 15th floor With the normality test, the normal distributions using Anderson-Darling Test followed 1st, 3th, 13th and 15th floor in the daytime and all floors except 7th floor in the night (p>0.05). And also, the value of the pearson correlation coefficient (r) obtained in this study have significantly different at the range of floor. In conclusion, the results suggested that the distribution characteristics of levels of Leq1h on the sources and receptors of road traffic noise in apartment complex must be improved and developed on the guideline of regulation of road traffic noise.