열차 소음은 도시 지역 내 철도 네트워크 확장에 주요 장애물이므로 보다 효과적인 소음 방지 수단을 개발하기 위한 연구가 진행되고 있다. 현재까지 방음 터널은 철도 소음에 대한 가장 효과적인 대책 중 하나이나, 중량 문제로 인하여 한정적으로 적용되어 왔다. 이 논문에서는 방음터널의 중량을 효과적으로 감소시킬 수 있는 슬롯형 방음 패널의 소음저감 성능의 예측 가능성을 평가하고, 소음저감 특성을 분석하였다. 연구의 목적을 위하여 음향 해석 프로그램인 Pachyderm Acoustics가 활용되었다. 음향해석의 적절성은 잔향실에서 얻은 실험 데이터를 사용하여 확인하였다. 실험데이터와의 비교 결과, 소음 감소 성능은 음향 분석을 통해 충분히 작은 오차 내로 예측 가능한 것으로 나타났다. 또한 슬롯형 방음판은 설계된 차음주파수 범위에서 약 25dB∼35dB 정도의 소음을 감소시킬 수 있는 것으로 나타났다.

Recently, as the quality of life of modern people improves, interest in environmental noise is gradually increasing. As the public's awareness of environmental rights increased, it was necessary to grasp the actual condition of the noise source and systematic noise management plan. The data is expected to be used as a response to noise-related complaints. As a result measured using the factory noise monitoring system, the amount of data measured every 5 minutes from 00:00 to 24:00 can obtain 288 noise levels and frequency characteristics per day, and frequency using 1/3 octave-band. The analysis reveals what frequency range affects the noise from the metal working plant near the office. In addition, it can be seen that it is possible to compare with the reference value by using the stored data divided into night time, day time, and evening time for each time zone, and it is determined that it is possible to secure smooth data about the noise source to be measured.

PURPOSES : In many European countries, the fine-size exposed aggregate concrete pavement (EACP) technique has been adopted for a quiet pavement. However, different noise reduction levels were reported based on the mixture design and texture conditions. This study aims to suggest a quality control condition for achieving low-noise texture and a mixture design procedure for exposed aggregate concrete overlay (EACO), which will provide the optimum mixture of the surface texture that can reduce the tire-pavement noise. METHODS : The tire-pavement noise is highly influenced by the pavement surface texture. The surface texture of the EACP can be quantified by the mean texture depth (MTD) and the exposed aggregate number (EAN). The optimum condition for the low-noise texture of the EACP was investigated herein based on the analysis of the review of the texture conditions and noise measurement in many EACP sites. RESULTS : The MTD and EAN criteria can be derived according to the investigated relationship between noise and texture condition. The optimum mixture design to satisfy these criteria can be achieved by controlling the maximum size of the coarse aggregate and the S/a. CONCLUSIONS: This study aimed to suggest a quality control condition for achieving low-noise texture and an optimum mixture design for EACO. As a result, we found that the early traffic opening of EACO can be achieved by using high early-strength cement.

The purpose of this study was to establish the noise generation actual condition of large machine in plant. most of the plant's large-scale machines are designed and manufactured overseas, so it is difficult to access basic information. The regulatory standards, management plans and measurement methods for these machines are insufficient. It is necessary to obtain information about the noise storage devices installed for warranty and the noise reduction device when designing the equipment. Investigation of the occurrence of large-scale machine noise at domestic plant sites was conducted. The sound insulation design of the industrial safety and health care law benchmark and the large-scale machine compound noise design of the equipment are carried out.

The purpose of this study was to establish the noise characteristics of noise sources and the corresponding noise reduction measures during each manufacturing process closest to the workers in the metalworking factory. To this end, the noise generated in the manufacturing process of metal products was measured and analyzed, and the frequency characteristics of noise sources and the causes of noise were identified. The noise map was used to predict the noise reduction effect. Moreover, it is expected that this will ultimately contribute to the reduction of human risks caused by the noise of the civil environment around metalworking factories.

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.

PURPOSES : This paper is aimed at suggesting a novel approach for determining the pavement condition rating based on the tire-surface friction noise using a machine learning algorithm as a low-end pavement condition monitoring system. METHODS : Vehicle on-board type noise measurement system according to the ISO11819-2, and the K-nearest neighbors with dynamic time warping algorithm were applied. The system and algorithm were empirically tested with a field study. RESULTS : The developed AI- and noise-based pavement condition monitoring system demonstrated significantly positive results with a precision 90.8%, recall 84.8%, and f1-score 86.1%. CONCLUSIONS: We herein confirmed that the acoustic property between the tire and road surface can be used for monitoring pavement conditions. It is believed this finding presented a new paradigm for monitoring pavement conditions based on visual information. However, extensive studies focused on the practical application of this method are required.

It is well-known that the primary role of a vehicle exhaust system is to reduce the exhaust emissions and noise caused by a running vehicle. However, as vehicle exhaust systems are being evaluated and improved in various ways to satisfy consumer needs, technologies for reducing noise and vibration are significantly being developed. The biggest challenge in designing an exhaust system is generating the optimal back pressure and flow velocity for a running vehicle, thereby maximizing the performance, while simultaneously reducing the noise caused by the exhaust emissions. In this study, we designed the junction chamber shapes of various exhaust systems, which are applicable to V6 and above engines, and conducted a CFD analysis of the exhaust gas flowing through an exhaust pipe. In addition, we precisely measured the noise and vibration caused by a vehicle and analyzed the correlation.