• Title/Summary/Keyword: 건설공사소음 예측프로그램

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The study on the development of noise prediction program for construction sites (건설공사장 소음예측 프로그램 개발에 관한 연구)

  • Yoon, Je-Won;Kim, Young-Chan;Kang, Hee-Man;Kim, Chul-Hwan;Chang, Tae-Sun;Lee, Ki-Jung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.974-977
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    • 2007
  • 본 연구에서는 건설 공사소음 예측 및 가설방음벽 설계를 위해 개발한 공사장 소음예측 프로그램에 대해 소개하고자 한다. 또한, 건설장비가 운영되는 동안 이격거리별 소음측정을 수행한 후 측정결과와 해석결과와의 비교검토를 통해 개발 프로그램의 타당성을 검증하고자 하며, 상용되고 있는 소음해석 전용 소프트웨어를 이용해 다양한 경우에 대한 소음해석을 수행한 후 해석결과를 개발 프로그램의 해석결과와 비교함으로서 개발 프로그램의 타당성을 검증하는 것을 본 연구의 목적으로 한다.

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An Implementation of Construction Machine Noise Simulation System (건설 장비 소음 예측 시스템의 구현)

  • Lee, Jung-Hwan;Kim, Ju-Ryong;Seo, Jeong-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.01a
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    • pp.21-24
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    • 2011
  • 일반적으로 공사현장에서 발생하는 건설소음은 주변 생활환경을 해치는 중요한 원인으로 대두되고 있으며, 최근에는 건설공사 주변에 거주하는 주민들로부터 많은 민원을 낳고 있다. 따라서 최근에는 각종 공사 시 설계 및 시공단계에서부터 건설 소음에 대한 영향평가를 실시하여 규제기준치를 초과하면 방음벽 설치나 기타 방음 대책 등에 대한 적극적인 검토 및 보완을 요구하고 있다. 이러한 관점에서 본 연구는 건설 현장고 인접해 사업계획 승인단계에 있는 현장을 대상으로 음향시뮬레이션 프로그램을 이용하여 건설 소음도를 예측하였다. 이러한 연구는 향후 각종 건설 현장과 소음 영향평가, 방음대책 수립 시 중요한 자료를 제공할 시스템으로 예상된다.

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A Study on the Noise of Crusher for the Site-Recycling (현장파쇄시설의 소음에 관한 연구)

  • Lee, Jae-Sung;Kwon, Soon-Boum;Joo, See-Woong;Park, Seong-Yong;Bae, Kee-Sun;Jung, Jong-Suk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.392-395
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    • 2007
  • Recently, the construction wastes rapidly increase because of redevelopment, the development of new urbanization of large housing development, the expansion of social infrastructure. With increase of the construction noise caused by these developments, environmental conflicts and civil appeals increase. Moreover, the Government will reduce construction noise level to 65dB from 70dB in January 2009. Therefore, it will be expected to increase environmental conflicts and civil appels related to construction noise. To minimize environmental conflicts and civil appels, this study compared and analyzed measured noisy values of a crusher for the site-recycling to predicted value of simple noisy prediction program developed by "National Institute of Environmental Research". Based on the results, a crusher for the site-recycling can be arranged to minimize the noise.

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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
    • 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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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 $0.85{\sim}0.95$.

Correlation between Proximity Noise Measurement Method (CPX) and Roadside Measurement Method (SPB) for Road Traffic Noise (도로교통소음에 대한 근접소음 측정법(CPX)과 통과소음 측정법(SPB)의 상관관계)

  • Yoo, In-Kyoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.310-319
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    • 2020
  • Korea estimates the traffic noise by measuring the total traffic noise when the traffic passes (SPB; Statistical Pass-By). Another method (CPX; Close Proximity) directly measures the tire/road noise by installing a microphone near the tire. The CPX method is not a formal test method in Korea. There has been little research between CPX and SPB. This study proposes a method for estimating SPB, using the CPX, which is easy to measure. This study used the results of a large-scale test conducted by Korea Expressway Corporation (KEC) and a research paper on CPX in this section. The results by the KEC showed that the low noise pavement has a noise reduction of 10.4dB. In CPX research, the noise reduction was 10.7dB and was similar to 10.4dB in SPB. This study shows why the noise reduction is the same regardless of the position, the reason that the amount of noise reduction is similar, the difference of the noise according to the position of the microphone using the concept of noise summation and distance reduction. This study shows that including the CPX as a variable in the traffic noise prediction program is very important to improve noise prediction reliability.