• Title/Summary/Keyword: Noise diffraction

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Performance prediction and measurement of the barrier (합성수지 방음벽의 성능예측 및 평가)

  • 박진규;김관주;정환익;김상헌;최상석
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.05a
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    • pp.718-723
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    • 2004
  • The insertion loss of a noise barrier comes from the effects of diffraction, transmission loss, absorption coefficient and attenuation by direct propagation. The noise level after the noise barrier, differs reatly from the diffraction on the upper part of the barrier. Maekawa, furze and Anderson presented a empirical formula for calculating the diffraction of a semi infinte screen shaped noise barrier. In this syudy, Noise reduction performance software was developed for the proper design and assessment of new plastic barrier . Predicted sound pressure level from using the software is compared with the site-measurement results to verify the noise reduction performance and feasibility of prediction software for insertion loss of noise barrier.

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Noise Source Localization using 3 Dimensional Spherical Probe (3 차원 구형탐촉자를 이용한 소음원 탐지)

  • Na, H.S.;Kim, Y.G.;Choi, K.Y.;Patrat, J.C.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1704-1709
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    • 2000
  • This paper proposes a spherical probe allowing acoustic intensity measurements in three dimensions to be made, which creates a diffracted field that is well-defined, thanks to analytic solution of diffraction phenomena. Six microphones are distributed on the surface of the sphere along three rectangular axes. Its measurement technique is not based on finite difference approximation, as is the case for the ID probe but on the analytic solution of diffraction phenomena. In fact, the success of sound source identification depends on the inverse models used to estimate inverse diffraction phenomena, which has non-linear properties. In this paper, we introduce the concept of nonlinear inverse diffraction modeling using a neural network and the idea of 3 dimensional sound source identification with several tests.

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An Experimental Study on the Reduction Effect of Reflected Sound and Diffraction Effect by Types of Noise Barrier (방음벽 종류별 반사음 저감효과 및 회절효과에 관한 실험적 연구)

  • 김흥식
    • Journal of KSNVE
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    • v.6 no.2
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    • pp.245-251
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    • 1996
  • This study is to suggest the improved noise barrier which is harmonized with surrounding landscape and maintained the similar reduction of reflected sound and diffraction effects in comparison with the aluminum noise barrier of absorbing type which is formed a great majority in Korea. In this study the two improved models of noise barrier(Diffuse and Disperse type) were designed and compared with the noise barriers of absorbing type in the acoustics performance (the reduction of reflected sound and diffraction effects) through the field and full-scale experimental measurement. As these two models have the same acoustic performance as the noise barrier of aluminum absorbing type, it is suggested that these models can be applied to the improved noise barrier as an alteration of aluminum absorbing type barrier.

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A Study on the Attenuation of Road Traffic Noise with two Pillar Buildings (두 개의 각주형 건물에 의한 도로교통소음의 감쇠에 관한 연구)

  • 김화일
    • Journal of Environmental Science International
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    • v.12 no.1
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    • pp.69-76
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    • 2003
  • When houses or buildings are adjacent to roads, with no effective prevention of road traffic noise, neighbors are exposed to it. It is important to understand the properties of sound propagation before taking a countermeasure against road traffic noise. It is easy to estimate the properties of sound propagation without obstacles, but very difficult and complex to estimate them with ones. The purpose of this study is to present a useful tool that can estimate the properties of sound propagation. In the beginning of this study, we investigated the attenuation of road traffic noise with two pillar buildings, and presented practical approximate calculation method, and verified that through scale model. The outcomes from this study are as follows : (1) Over second reflection sound waves can be ignored. (2) Diffraction sound waves that happen when reflection sound and first diffraction wave are projected at the wedge of other building can be ignored.

Development of Noise Prediction Program in Construction Sites (건설 공사장 간이 소음 예측 프로그램 개발)

  • Kim, Ha-Geun;Joo, Si-Woong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.1157-1161
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    • 2007
  • A construction noise is the main reason for people's petition among the pollution. The purpose of this study is to develop the noise prediction program to see the level of the noise on the construction site more accurately. For this purpose, the database of the power level on the various equipments was made. The noise reduction by distance and the noise reduction by diffraction of barrier were mainly considered and calculated. The simple noise prediction program will provide the information about proper height and length of the potable barrier which satisfies noise criteria of the construction sites from a construction planning stage. To investigate the reliability of this program, the predicted data was compared with the measured data. An average of difference between measured data and predicted data is 1.3 dB(A) and a coefficient of correlation is about 0.95.

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Jamming Effects of GPS L1 C/A Signal by Knife-Edge Diffraction Loss at Seoul Metropolitan Northwestern Region (회절을 고려한 수도권 서북부 지역에서 GPS L1 C/A 신호의 재밍영향분석)

  • Yoo, Seungsoo;Kim, Sun Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.9
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    • pp.757-763
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    • 2013
  • This study discusses the multiple knife-edge diffraction loss with the receiver and jammer located in the Seoul metropolitan northwestern region. The considered positioning and jamming signals are the GPS L1 C/A signal and several jamming signals such as the wideband Gaussian noise, matched spectrum, and continuous wave signals. To calculate the accurate diffraction effects, the 3-dimensional topography data at the Seoul metropolitan northwestern region was used.

Development of Time Domain Numerical Computation for Predicting Noise Barrier Efficiency (방음벽 성능 예측을 위한 시간영역 수치해석의 개발)

  • 임창우;정철웅;이수갑
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.757-761
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    • 2001
  • In order to study noise barriers of complex shapes and to assess their efficiency, precise prediction model is required. For instance, geometrical approaches cannot deal with complex diffraction effects. So that in this paper, the time domain numerical computation method(Computational Aeroacoustics method) is applied to estimate noise reduction by diffraction and finite impedance condition. The CAA method can be used to calculate exactly the pressure of complex barrier shape with different impedance condition, such as T-shape, cylindrical edge and multi-edge noise barriers.

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Performance Analysis of Noise Barriers of Complicated End Shapes (복잡한 끝단 형상을 갖는 방음벽의 성능해석)

  • 김현실;김재승;강현주;김봉기;김상렬
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.224-228
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    • 2003
  • A new analytic method is presented for predicting the performance of noise barriers having complicated end shapes like "Y", "T", inverted L, and other shapes. The insertion loss of the barrier is predicted by summation of multiple diffractions occurring at the comer points. Although previous studies treated diffractions occurring only at the convex points, the method presented in this paper considers diffractions at the concave point. As numerical examples, a partially inclined noise barrier and "T" shape noise barrier are studied. It is shown that the diffraction at the concave point may be neglected if the shortest path does not include the concave comer point.

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A Study on the Improvement of the Road Traffic Noise Prediction for Environmental Impact Assessment (환경영향평가시 도로교통소음예측에 관한 개선방안 연구)

  • Lee, Nae-Hyun;Park, Young-Min;Sunwoo, Young
    • Journal of Environmental Impact Assessment
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    • v.10 no.4
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    • pp.297-304
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    • 2001
  • Recently the road traffic noise has appeared as a significant environmental issue because of dramatic increase of vehicles and expansion of newly constructed road. Therefore, this study proposes the method that improves prediction factors and models through analysis of the existing road traffic noise prediction model. Prediction factors can be improved by establishing guideline for diffraction attenuation and applying daily traffic discharge, peak traffic discharge, and average traveling speed through an analysis of level service. Prediction must be made by periods of one or five years during 20 years. Prediction models also can be improved to include better prediction model through setting the database, establishing functional relation between physical properties and noise levels by acoustic analysis, and developing models for road traffic noise prediction in residential areas.

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Development of Noise Prediction Program in Construction Sites (건설 공사장 간이 소음 예측 프로그램 개발)

  • Kim, Ha-Geun;Joo, Si-Woong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.11
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    • pp.1021-1027
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    • 2007
  • A construction noise is the main reason for people's petition among the pollution. The purpose of this study is to develop the noise prediction program to see the level of the noise on the construction site more accurately. For this purpose, the database of the power level on the various equipments was made. The noise reduction by distance and the noise reduction by diffraction of barrier were mainly considered and calculated. The simple noise prediction program will provide the information about proper height and length of the potable barrier which satisfies noise criteria of the construction sites from a construction planning stage. To investigate the reliability of this program, the predicted data was compared with the measured data. An average of difference between measured data and predicted data is $0.1{\sim}2.8\;dB(A)$ and a coefficient of correlation is about $0.85{\sim}0.95$.