PURPOSES : This study aims to create a pleasant environment by exploring ITS technology-based reduction measures to manage vehicles on the road, which are the main cause of traffic noise, while identifying the effects of traffic noise and various noise reduction measures. METHODS : A review of the literature identified the matters discussed mainly by reviewing the pre-examination and related statutes of traffic noise management measures at home and abroad. Furthermore, in the field investigation section, the variables affecting traffic noise (traffic volume, large vehicle mix rate, and driving speed) were investigated and the noise impact was analyzed using the three-dimensional (3D) noise prediction model (SounpdPLAN). RESULTS: The noise impact levels of the 3D noise prediction model were identified from various angles, such as horizontal and vertical, and traffic noise management measures for pre-real-time management and related DB utilization measures were proposed. CONCLUSIONS: Unlike the existing traffic noise management measures, which focus on follow-up management measures, it is believed that further research is needed to develop standards and related guidelines that meet regional characteristics by taking into account the characteristics of traffic noise and creating concrete and drawing action plans that can be used in future policies using ITS technology.

선박 및 수중구조물의 고속, 대형화 및 요구조건 강화의 추세에 따라 유동소음 예측기술의 중요성이 강조되고 있다. 항공, 철도 등의 공력소음 분야에서는 음향상사법을 이용하여 순음 및 광대역 유동소음에 대해 활발히 연구되고 있는 반면 조선해양분야에서는 수중추진기의 날개주파수소음에 대해서만 일부 고려되고 있다. 본 논문에서는 날개면 형상의 주요 유동소음발생 메커니즘 뒷날소음을 고려 가능한 FW-H Formulation 1B를 이용하여 수중추진기 및 선저부가물의 기초요소인 수중익에 대해 광대역소음 예측기법을 연구하였다. 기존의 FW-H Formulation 1B는 공기 중의 압력상관관계 모델에 기반하여 구성되어 있어 매질에 대한 일반성 및 정확도의 한계를 가지므로 수중환경에 대해 일반성을 가지는 벽면변동압력 모델로 확장하는 방법론을 제시하였다. 공기 중 날개면의 소음계측결과와 비교해 벽면변 동압력 모델을 이용할 경우 기존모델의 해석결과 대비 5 dB 이내의 오차로 정확도 관점에서의 유용성을 확인할 수 있었으며 전산유체역 학과 벽면변동압력을 이용한 수중환경의 광대역소음해석 절차를 확립하고 수중익의 광대역소음 예측을 수행하였다.

수중에서 빠른 속도로 운동하는 물체 주변에서 감압이 발생하며, 이로 인해 공동 핵이 팽창함으로써 캐비테이션이 발생한다. 캐비테이션이 발생하게 되면 소음 및 진동이 증가하며, 추진기의 경우 추진 성능이 저해되는 악영향을 초래하기 때문에 이에 대한 예측이 필요하다. 본 연구에서는, 캐비테이션 발생으로 인한 공동소음의 해석절차를 정립하고, 타원형 날개에 적용하였다. 먼저 전산유체역학 해석을 수행하여, 날개 형상 주위 유동장 정보를 도출하였다. 공동 핵 밀도 함수를 활용하여, 핵의 초기 반경 별로 개수를 계산하였고 이들을 압력 강하가 큰 날개 끝 전류에 랜덤하게 배치하였다. 이후 공동소음 해석을 위해 각각의 핵에 대하여 Lagrangian 관점에서 버블 다이나믹스를 활용하였고, 계산된 공동의 거동으로부터 소음해석을 수행하였다. 공동소음은 광대역 소음의 특성을 가지는 것을 확인하였으며, 최종적으로 선박해양플랜트연구소(KRISO)의 대형캐비테이션터널(LCT)에서 수행된 실험 계측결과와의 비교를 통해 검증을 수행하였다.

The object of this paper is to estimation of noise reduction effect of road noise by operating condition due to tire noise regulation. A prepare the countermeasure of the noise reduction according to collect tire/road noise data under various influencing factors by using the tire test method. To accomplish the object : A automotive is used as a test platform to test tire/road noise by changing different types of tires and using the On-Board Sound Intensity test system. The influence of inflation pressure, road, load, speed and pattern type on tire/road noise is compared and analyzed. At the same time, the mechanism of tire/road noise is analyzed, which provides an experimental basis for tire noise reduction.

도심지나 문화재가 인접한 지역 등의 소음, 진동 등 기존 발파해체 공법이 제한적인 조건에서 사용할 수 있는 구조물 해체 공법으로 무소음화학팽창제(soundless chemical demolition agent, SCDA)를 이용한 공법이 있다. 그러나 SCDA의 사용에 대한 기준이나 가이드라인에 참고될 만한 연구는 미미한 실정이다. 이 연구에서는 실내실험을 수행하여 강관의 길이, 외부수분차단, 수화열 발산 등의 다양한 조건에 따른 SCDA의 팽창압 발현 특성을 확인하였다. 또한 SCDA의 최소요구팽창압 예측을 위한 해석모델(자유단 1면, 고정단 3면의 직사각형 모델)을 개발하고 주요변수해석(홀 간 거리, 콘크리트 압축강도)을 수행하였다. 이 연구의 해석결과를 활용하여 자유단으로부터 콘크리트 구조물의 박락을 효과적으로 유도할 수 있을 것으로 판단된다.

The source of wayside noise for the train are the aerodynamic noise, wheel/rail noise, and power unit noise. The major source of railway noise is the wheel/rail noise caused by the interaction between the wheels and rails. The Structure borne noise is mainly a low frequency problem. The train noise and vibration nearby the elevated railway make one specific issue. The microphone array method is used to search sound radiation characteristics of elevated structure to predict the noise propagation from an elevated railway. In this paper, the train noise and structure borne noise by train are measured and prediction. From the results, we investigated the effect for elevated railway noise.

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.

최근 서울 도심 지역에 급격한 자동차 수 증가로 인한 도로교통소음의 심각성이 사회에서 주목을 받고 있다. 각 기관들은 도로교통소음을 해결하기 위해 여러 가지 방안을 내놓고 있으며, 2017년 3월 서울시는 저소음포장을 소음감소대책으로 내놓았다. 여러 가지 소음감소대책 중 저소음포장이 최근 들어 많은 관심을 받고 있는 이유는 방음벽과 방음터널의 경우 도심의 미관을 파괴하고 소음대책이 필요한 지점에 따라 소음저감 효과가 상이하게 발생하는 반면, 저소음포장의 경우 소음대책이 필요한 지점에 상관없이 일정한 소음저감 효과를 나타내고 있기 때문이다. 이와 관련하여 본 연구에서는 소음예측 프로그램을 통하여 저소음포장의 소음감소효과를 평가를 하는 것을 목적을 두고 있다. 소음예측은 Korea Environment Institute 가이드라인에 기초하여 수행되었다. 저소음 포장에 대한 감소효과를 평가하기 위해 소음지도 모델링을 진행하여야 한다. 모델링의 경우 일반포장에서의 실제 교통량과 통행속도를 입력하여 나온 시뮬레이션 값과 실제 지점에서 소음을 측정한 값이 3dB차이가 나지 않아야 검증된 모델로 규정하고 있다. 이렇게 검증이 된 모델을 사용하여 소음예측을 진행하였을 때, 일반 포장이 설치 된 도로를 저소음포장으로 교체 설치하여 소음감소도를 분석하게 된다. 또한 저소음포장이 한 층 및 두 층으로 포장되었을 경우에 대해 소음감소도를 분석하였고, 여러 조건의 속도와 교통량을 입력하여 각 조건별로 감소도를 분석하였다. 여러 가지 상황에서 어떤 경우에 가장 많은 감소도를 보이는지 분석하였다. 그림 1.은 특정 교통량과 특정 속도에 대한 소음예측을 한 것이다. 그림 2.의 경우는 그림 1.과 같은 교통량과 속력을 입력하였지만 포장이 저소음포장을 두 층으로 바꿔 설치 된 것이다. 그림을 비교해보면 저소음포장을 설치한 경우 7dB의 감소도를 볼 수 있다. 이를 포함한 많은 경우의 수에서 저소음포장에 대한 소음감소도를 분석하였다

PURPOSES: The purpose of this study is to evaluate the effect of the quiet pavement on reducing a barrier height by using a prediction tool called SoundPLAN. METHODS: Firstly, the prediction was carried out to evaluate the difference in the maximum noise level at a building facade between the normal and the quiet pavements without a barrier. After calculating the noise reduction effect by the quiet pavement, a comparable barrier height to obtain the same noise reduction effect with it was predicted according to designable factors including road-building distance(10 m, 20 m, 40 m) and road-barrier distance(5 m, 10 m, 20 m, 30 m). RESULTS: The result showed that within the considered designable factors, the maximum barrier height was 37 m, 52 m, and 55 m to have the same noise reduction effect by the quiet pavement reducing 1 dBA, 3 dBA , and 5 dBA, respectively. It was evaluated that the barrier height increased with the increase of the road-building and road-barrier distances. To simulate the real situation in urban areas and to evaluate the combined effect of the normal/quiet pavement and barrier, the barrier height was fixed as 6 m. It was predicted that the noise level would reduce to as low as 0.2 dBA by the combination of normal pavement and barrier. On the other hand, the combination of the quiet pavement and barrier reduced 1.2 dBA, 3.2 dBA, and 5.2 dBA, respectively, for quiet pavement reducing 1 dBA, 3 dBA, and 5 dBA. CONCLUSIONS: A guideline needs to be suggested to select appropriate noise abatement schemes by considering factors such as the roadbuilding and road-barrier distances.

도로에 인접한 아파트 주동을 대상으로 일반 도로포장 대비 저소음 도로포장의 소음저감효과를 예측한 후, 일반 도로포장 시 이에 상응하는 소음레벨 저감을 위한 방음벽 높이를 예측하여 저소음 도로포장의 경제성 분석을 위한 기초연구를 수행하였다. 5dBA의 소음저감효과를 나타내는 저소음 도로포장 설치조 건에 대한 예측결과 최대 54m의 방음벽 높이를 저감시킬 수 있는 것으로 예측되어 도시미관 및 경제성 측면에서 효과적인 것으로 분석되었다.

PURPOSES: The purpose of this thesis is to evaluate the effectiveness of an active noise cancellation (ANC) system in reducing the traffic noise level against frequencies from the predictive model developed by previous research. The predictive model is based on ISO 9613-2 standards using the Noble close proximity (NCPX) method and the pass-by method. This means that the use of these standards is a powerful tool for analyzing the traffic noise level because of the strengths of these methods. Traffic noise analysis was performed based on digital signal processing (DSP) for detecting traffic noise with the pass-by method at the test site. METHODS : There are several analysis methods, which are generally divided into three different types, available to evaluate traffic noise predictive models. The first method uses the classification standard of 12 vehicle types. The second method is based on a standard of four vehicle types. The third method is founded on 5 types of vehicles, which are different from the types used by the second method. This means that the second method not only consolidates 12 vehicle types into only four types, but also that the results of the noise analysis of the total traffic volume are reflected in a comparison analysis of the three types of methods. The constant percent bandwidth (CPB) analysis was used to identify the properties of different frequencies in the frequency analysis. A-weighting was applied to the DSP and to the transformation process from analog to digital signal. The root mean squared error (RMSE) was applied to compare and evaluate the predictive model results of the three analysis methods. RESULTS: The result derived from the third method, based on the classification standard of 5 vehicle types, shows the smallest values of RMSE and max and min error. However, it does not have the reduction properties of a predictive model. To evaluate the predictive model of an ANC system, a reduction analysis of the total sound pressure level (TSPL), dB(A), was conducted. As a result, the analysis based on the third method has the smallest value of RMSE and max error. The effect of traffic noise reduction was the greatest value of the types of analysis in this research. CONCLUSIONS : From the results of the error analysis, the application method for categorizing vehicle types related to the 12-vehicle classification based on previous research is appropriate to the ANC system. However, the performance of a predictive model on an ANC system is up to a value of traffic noise reduction. By the same token, the most appropriate method that influences the maximum reduction effect is found in the third method of traffic analysis. This method has a value of traffic noise reduction of 31.28 dB(A). In conclusion, research for detecting the friction noise between a tire and the road surface for the 12 vehicle types needs to be conducted to authentically demonstrate an ANC system in the Republic of Korea.

PURPOSES: This study is to predict the Sound Pressure Level(SPL) obtained from the Noble Close ProXimity(NCPX) method by using the Extended Kalman Filter Algorithm employing the taylor series and Linear Regression Analysis based on the least square method. The objective of utilizing EKF Algorithm is to consider stochastically the effect of error because the Regression analysis is not the method for the statical approach. METHODS: For measuring the friction noise between the surface and vehicle’s tire, NCPX method was used. With NCPX method, SPL can be obtained using the frequency analysis such as Discrete Fourier Transform(DFT), Fast Fourier Transform(FFT) and Constant Percentage Bandwidth(CPB) Analysis. In this research, CPB analysis was only conducted for deriving A-weighted SPL from the sound power level in terms of frequencies. EKF Algorithm and Regression analysis were performed for estimating the SPL regarding the vehicle velocities. RESULTS : The study has shown that the results related to the coefficient of determination and RMSE from EKF Algorithm have been improved by comparing to Regression analysis. CONCLUSIONS : The more the vehicle is fast, the more the SPL must be high. But in the results of EKF Algorithm, SPLs are irregular. The reason of that is the EKF algorithm can be reflected by the error covariance from the measurements.

최근 세계적으로 도심지에서 발생하는 소음 관련 민원 문제가 증가하고 있다. 도심지 인구 집중화 현상 으로 인해 차량이 증가하는 현상이 나타나고 있다. 이로 인해 2006년에 비해 2010년에 도로교통 소음 관 련 민원 접수가 약 2배 정도 증가하였다. 이러한 소음 문제는 사람들에게 생리적인 문제 뿐만 아니라 작 업의 집중도에도 영향을 미친다. 생리적인 문제로는 맥박과 혈압이 증가하고 말초혈관수축이 일어나는 등 자율신경계에서 변화가 일어난다. 또한 작업의 집중도에 있어서도 작업의 총 작업량을 감소시키기 보다는 집중도에 있어서 저하시킨다. 이러한 도로교통 소음 문제를 감소시키기 위해서 다양한 대책을 마련하고 있다. 교통과 표면에서 발생하는 마찰음을 감소시키기 위해서 저소음 포장으로 만드는 방법, 주파수 별 음향의 파워레벨에 일치하도록 중첩 이론을 적용시키는 ANC 방법, 음향을 굴절, 회절, 반사 또는 흡음을 발생시키는 이론을 반영한 방음터널과 방음벽을 만드는 방법, 제한속도를 규제하는 방법 등이 있다. 본 연구에서는 ANC 방법과 방음터널과 방음벽을 만드는데 사용되는 주파수 별 음향 파워의 예측모델을 만 들고자 한다. 이때 DSLM은 주파수 별 음향특성을 알아내는데 매우 기본적인 방법이라서 어려움이 있다. 따라서 기본 실험법으로 NCPX계측 방법과 Pass-by계측 방법을 선택하였다. NCPX계측 방법은 노면과 타이어의 마찰로 인해서 나타나는 음을 정확히 가까운 위치에서 측정 가능한 반면, Pass-by계측 방법은 도로와 교통에서 생기는 음향의 진행에 따른 상쇄효과를 고려한 실제 수음자의 수반 음향을 측정 가능하 다. 이로써 본 연구에서는 NCPX계측 방법을 사용해서 예상되는 도로교통소음을 사용해 수음점에 근접한 음향을 예상하는 모델을 만들고자 한다. 예상하는 과정에서 확장형 칼만필터 알고리즘을 사용해 도로마찰 음향을 예상하고 다시 조화검색 알고리즘으로 수음점에 근접한 음향을 예측하였다.

The object of this paper is investigate noise source at metal material product manufacturing plant and create noise map for predict noise. The plant is located close to a residential area, and residents noise exposure damage expected. Through this research 68 points noise sources were measured. And according to analysis result, 30 percent of noise sources are measured above 90dB(A). Based on this measurement results were create a noise map, and comparison between the predicted noise and the background noise. The noise maps were calculated by noise prediction software using measurement data, GIS data, ESRI SHP files and actual survey data. As a analysis result, metal material products manufacturing plants are will have an effect by noise on the nearby residential area.

Generally, the traffic noise occurring on roads has emerged as an important factor that harms the residential environment. Because of the noise, residents living near roads have been causing civil complaints. Therefore, it is required to evaluate road traffic noise during the whole procedures of building an apartment, ranging from design to construction. And if an evaluated noise exceeds regulation standards, some measures to prevent the noise, such as installation of soundproof walls, and other kinds of plans should be prepared. In this point, this work measured road traffic noise in a site of housing land development, investigated its characteristics, and used a simulation program to predict outdoor noise on the basis of the data about traffic effect evaluation, design drawing, and the data about site measurement. Based on the prediction, it also predicted indoor noise. It is judged that this research will serve as an important material to establish soundproof measures on the basis of prediction of traffic noise in building an apartment.

PURPOSES : The objective of this study is to provide for the overall SPL (Sound Pressure Level) prediction model by using the NCPX (Noble Close Proximity) measurement method in terms of regression equations. METHODS: Many methods can be used to measure the traffic noise. However, NCPX measurement can powerfully measure the friction noise originated somewhere between tire and pavement by attaching the microphone at the proximity location of tire. The overall SPL(Sound Pressure Level) calculated by NCPX method depends on the vehicle speed, and the basic equation form of the prediction model for overall SPL was used, according to the previous studies (Bloemhof, 1986; Cho and Mun, 2008a; Cho and Mun, 2008b; Cho and Mun, 2008c). RESULTS : After developing the prediction model, the prediction model was verified by the correlation analysis and RMSE (Root Mean Squared Error). Furthermore, the correlation was resulted in good agreement. CONCLUSIONS: If the polynomial overall SPL prediction model can be used, the special cautions are required in terms of considering the interpolation points between vehicle speeds as well as overall SPLs.