• 제목/요약/키워드: 통계적 에너지 해석

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소음해석과 통계적에너지해석법

  • 김재승
    • 소음진동
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    • 제14권3호
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    • pp.31-37
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    • 2004
  • 여기에서는 우선 SEA방정식을 소개하고 방정식에 나타나는 SEA파라미터의 물리적 의미와 각 파라미터의 산정과 관련한 이론적 배경을 살펴보고자 한다. (중략)

통계적 에너지 해석을 이용한 RazakSAT 의 음향진동 연성해석 (Vibroacoustic Analysis of RazakSAT using SEA)

  • 강명석;배정석;김종운;최웅;우성현;김영기
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 춘계학술대회논문집
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    • pp.953-956
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    • 2005
  • The vibroacoustic analysis has been carried out on the RazakSAT qualification model which was developed by SI and ATSB. Statistical energy analysis was used for the analysis and the results was compared with acoustic test results. The equipments of the RazakSAT are simplified as uniformly distributed mass on the panels in the SEA model. According to the comparison of the analysis and test results, SEA is useful estimation of the response in high frequency region and the results are valid when the assumption of equipartition of modal energy is agreed.

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통계적 에너지 해석 기법에 의한 공조용 로타리 압축기의 소음 진동 전달 경로 해석 (A Study on the Noise and Vibration Transmission Path of Rolling Pistion Type Rotary Compressor Using SEA)

  • Hwang, Seon-Woong;Jeong, Hyeon-Chul;Ahn, Byung-Ha;Jeong, Weui-bong;Kim, Kyu-Hwan
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.385.2-385
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    • 2002
  • Hermetic rotary compressor is one of the most important components for air conditioning system since it has a great effect on both the performance and the noise and vibration of the system. Noise and vibration of rotary compressor is occurred due to gas pulsation during compression process and unbalanced dynamic force. In order to reduce noise and vibration, it is necessary to identify sources of noise and vibration and effectively control them. (omitted)

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통계적 에너지 해석 모델을 이용한 건설 장비 차실 설계에 관한 연구 (Design Sensitivity Studies for Statistical Energy Analysis Modeling of Construction Vehicle Cab)

  • 채장범
    • 소음진동
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    • 제8권4호
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    • pp.609-615
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    • 1998
  • In recent years there has been an increasing emphasis on shortening design cycles for bringing products to market. This requires the development of computer aided engineering tools which allow analysts to quickly evaluate the effect of design changes on noise, vibration, and harshness. Statistical Energy Analysis (SEA) modeling is a valuable tool for predicting noise and vibration as SEA models are inherently simpler and more robust than deterministic models. SEA modeling can be combined with design sensitivity analysis(DSA) to identify design changes which give the largest performance benefit. This paper describes SEA modeling of an equipment cab. SEA predictions are compared to test data, showing good agreement. The use of design sensitivity analysis in improving cab design is then demonstrated.

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서로 다른 매질을 갖는 격실사이의 음파전달해석 (An Analysis of the Sound Propagation between Rooms with Different Mediums)

  • 김현실;김재승;이성현;서윤호
    • 한국음향학회지
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    • 제32권5호
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    • pp.402-407
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    • 2013
  • 본 논문은 인접한 두 격실의 매질이 다를 때 공통 벽을 통한 음파의 전파를 해석한 내용을 다루었다. 통계적 에너지해석법(statistical energy energy)을 사용하여 두 격실의 음향에너지와 벽의 진동에너지간의 에너지 평형을 고려하였으며 소음원실의 음압이 벽을 투과하는 성분 외에 벽의 구조소음으로 인한 음의 방사(radiation)가 수음원실의 음압에 미치는 영향을 검토하였다. 예제로 선박의 엔진실과 물탱크가 크기 $8.4{\times}4$ m인 강판을 사이에 두고 접한 경우를 해석하였다. 강판의 임계주파수(critical frequency)가 관심주파수대역보다 큰 경우 63 Hz이하의 저주파수대역을 제외하고 음파의 전달은 강판을 투과하는 성분에 의해 주로 결정되며 강판의 구조소음에 기인한 방사소음은 무시할 정도로 기여도가 작음을 확인하였다.

단순화된 위성체의 통계적 에너지 해석법을 이용한 음향-진동 연성 해석 (Vibro-acoustic Analysis of Simplified Satellite Model by Using the Statistical Energy Analysis Technique)

  • 정철호;이정권;문상무;김홍배
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.711-714
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    • 2002
  • At the lift-off condition, the combustion and Jet noise of launch vehicle produces a severe acoustic environment and the acoustic loads may be damaging to paylaod and equipments. Prediction of the acoustic environment is thus needed to support the load-resistive design and test-qualification of components. Currently, such a high frequency problem is usually dealt with by using the SEA technique, for which the assumptions should match reasonably well with the vibro-acoustic condition of system. The subsystems of SEA model was composed of 16 flat plates, 8 L-shaped beams, and 2 acoustic cavities. The frequency range was 400 Hz - 4 kHz considering the modal parameter. The experiment was performed in a high intensity acoustic chamber, in which the diffuse acoustic field was assured. By comparing the SEA analysis and the experiments, the error less than 5 dB was observed.

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통계적 에너지 해석법을 이용한 소형 잔향실의 연성손실계수 측정 (Calculation of Coupling Loss Factor for Small reverberation cabin using Statistical Energy Analysis)

  • 김관주;김운경;윤태중;김정태
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.797-801
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    • 2003
  • The Statistical Energy Analysis is based on the power flow and the energy conservation between sub-systems, which enable the prediction of acoustic and structural vibration behavior in mid-high frequency ranges. This paper discusses the identification of SEA coupling loss factor parameters from experimental measurements of small reverberation chamber sound pressure levels and structural accelerations. As structural subsystems, steel plates with and without damping treatment are considered. Calculated CLFs were verified by both transmission loss values for air-borne CLF case and running SEA commercial software As a result, CLFs have shown a good agreement with those computed by software. Acoustical behavior of air-borne noise and structure-borne noise has been examined. which shows reasonable results, too.

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에너지흐름해석법을 이용한 중고주파수 대역 자동차 도어 진동예측 (Prediction of Vibrational Responses of Automotive Door System Using Energy Flow Analysis in Medium-to-high Frequencies)

  • 박영호;홍석윤;길현권
    • 한국소음진동공학회논문집
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    • 제20권11호
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    • pp.1097-1102
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    • 2010
  • In this paper, the energy flow analysis(EFA) of the body-in-white door of a real automotive was performed using the energy flow finite element method(EFFEM) to effectively predict the vibrational responses of built-up structures in the medium to high frequency range. To increase the validity of EFA results, the structural hysteresis damping loss factor was measured by the experiment using the concept of statistical energy analysis(SEA). As the excitation frequency increases, the predicted results simulated with EFFEM generally agree with the experimental results.