• Title/Summary/Keyword: Noise prediction method

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Study on the Prediction of Ground-borne Vibration Induced by Subway (지하철에 의한 지반진동 예측에 관한 연구)

  • 장서일;김득성;이재원
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.3
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    • pp.175-184
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    • 2004
  • Ground-borne noise and vibration generated by underground transit system has been recognized as an important environmental problem. This study reviews several of the procedures that have been used to predict ground-borne vibration. The vibration responses are measured at three sites that have different soil qualities. The measured vibration levels are compared with the predicted results by previously used vibration level prediction models. There are some drawbacks to apply these prediction models to selected sites because most of the existing prediction models are primarily based on empirical data and all of them lack of analytical models for the mechanism of ground-borne vibration generation. radiation, and propagation. In this study a numerical method, which is based on explicit differential method, is used to compensate for the shortcomings of existing prediction models. Although numerically computed results are not quantitatively in good agreement with the measured results, the trends are comparable in the sense that vibration level does not decrease monotonically with distance. Also, the site with the deepest tunnel gives the highest vibration level.

Comparison of Boosting and SVM

  • Kim, Yong-Dai;Kim, Kyoung-Hee;Song, Seuck-Heun
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.999-1012
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    • 2005
  • We compare two popular algorithms in current machine learning and statistical learning areas, boosting method represented by AdaBoost and kernel based SVM (Support Vector Machine) using 13 real data sets. This comparative study shows that boosting method has smaller prediction error in data with heavy noise, whereas SVM has smaller prediction error in the data with little noise.

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Numerical Prediction of Aerodynamic Noise from Rotors (회전익 공력소음의 수치적 예측)

  • 이정한;이수갑
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1997.04a
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    • pp.581-587
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    • 1997
  • Numerical predictions of aerodynamic noise radiated by subsonic rotors are carried out. A time domain approach for Ffowcs-Williams Hawkings equation of acoustic analogy is used in developing a comprehensive rotor/fan noise prediction program to handle both arbitrary blade shapes and loading conditions. Since only the aeroacoustic aspects of rotors are considered here, the calculations are carried out for rotors with simple aerodynamic characteristics. Broadband noise from ingestion of turbulence is also considered. By incorporating discrete frequency noise prediction of steady loading with broadband spectrum, much better correlation at the low frequency region with experimental data is obtaind. The contributions from different noise mechanisms can also be analysed through this method.

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3D Expression of Outdoor Railway Noise : NIC@E (철도 환경 소음의 3-D 표현: NIC@E)

  • 김준연;김정태
    • Proceedings of the KSR Conference
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    • 2000.05a
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    • pp.521-528
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    • 2000
  • NIC@E is software for prediction of various outdoor Noise. The program is based on the ray tracing technique which has been widely used in an environmental noise prediction and analysis. In this paper, we analyze the Railway noise on the various types of geometrical source conditions in 3D and develope tile expression method of 3D Graphics for noise level.

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Aero-acoustic Performance Pprediction Method and Parametric Studies of Axial Flow Fan (축류 홴의 공력-음향학적 성능 예측방법 및 매개변수 연구)

  • Lee, Chan
    • Journal of KSNVE
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    • v.6 no.5
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    • pp.661-669
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    • 1996
  • Proposed is an aero-acoustic performance prediction method of axial fan. The fan aerodynamic performance is predicted by combining pitch-averaged quasi 3-D flow analysis with pressure loss models for blade boundary layer and wake, secondary flow, endwall boundary layer and tip leakage flows. Fan noise is assumed to be radiated as dipole distribution type, and its generation is assumed to be mainly due to the vortex street shed from blade trailing edge. The fluctuating pressure and lift on the blade surface are analyzed by incorporating the wake vortex stree shed from blade trailing edge. The fluctuating pressure and lift on the blade surface are analyzed by incorporating the wake vortex street model with thin airfoil theory. The aero-acoustic performance prediction results by the present method are in good agreement with the measured results of several axial fans. With the present prediction method, parametric studies are carried out to investigate the effects of blade chord length and spacing on the efficiency and the noise level of fan. In the case of lightly loaded fan, both efficiency improvement and noise reduction can be achieved by decreasing chord length or by increasing blade specing. However, when fan is designed at highly loaded condition, the noise reduction by increasing blade spacing penalizes the attaninable efficiency of fan.

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Development of Hybrid Method for the Prediction of Internal Flow-induced Noise and Its Application to Throttle Valve Noise in an Automotive Engine

  • Cheong, Cheol-Ung;Kim, Sung-Tae;Kim, Jae-Heon;Lee, Soo-Gab
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.4E
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    • pp.183-196
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    • 2003
  • General algorithm is developed for the prediction of internal flow-induced noise. This algorithm is based on the integral formula derived by using the General Green Function, Lighthill's acoustic analogy and Curl's extension of Lighthill's. Novel approach of this algorithm is that the integral formula is so arranged as to predict frequency-domain acoustic signal at any location in a duct by using unsteady flow data in space and time, which can be provided by the Computational Fluid Dynamics Techniques. This semi-analytic model is applied to the prediction of internal aerodynamic noise from a throttle valve in an automotive engine. The predicted noise levels from the throttle valve are compared with actual measurements. This illustrative computation shows that the current method penn its generalized predictions of flow noise generated by bluff bodies and turbulence in flow ducts.

Prediction of the Radiated Noise of a Structure Excited by Harmonic Force Using the Doubly Asymptotic Approximation (이중점근 근사법을 이용한 조화가진 구조물의 방사소음 예측)

  • Han, Seungjin;Jung, Woojin
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.27 no.1
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    • pp.51-56
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    • 2017
  • This paper presents an approach of predicting the radiated noise due to the structural vibration by internal harmonic forces using the doubly asymptotic approximation (DAA). Acoustic transfer vector is derived from the Helmholtz integral equation and the fluid-structure interaction relation of DAA. Numerical results and analytical results of radiated noise for a cylindrical shell were compared and showed that they were consistent in most of frequencies and radiation directions, but showed errors in some radiated directions in the mid-frequency region. Despite these errors, the prediction method will be suitable for practical radiated noise prediction.

A Proposal on Calculation Model to Predict Environmental Noise Prediction Emitted by High Speed Trains (고속철도 환경소음예측을 위한 계산 모델 제안)

  • Cho, Dae-Seung;Cho, Jun-Ho;Kim, Jin-Hyeong;Jang, Kang-Seok;Yoon, Jae-Won
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2011.10a
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    • pp.843-848
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    • 2011
  • Planning and construction of railway for high speed trains up to 400 km/h are recently driven in Korea. High speed train is one of the environment-friendly fastest mass transportation means but its noise generated by rolling, traction and aerodynamic mechanism can cause public complaints of residents nearby railways. To cost-effectively prevent the troublesome noise in a railway planning stage, the rational railway noise prediction method considering the characteristics of trains as well as railway structures should be required but it is difficult to find authentic methods for Korean high speed trains such as KTX and KTX-II. In this study, we propose a framework of our own railway noise prediction model emitted by Korean high speed trains over 250 km/h based on the recent research results carried out in EU countries. The model considers railway sound power level using several point sources distributed in heights as well as tracks, whose detail speed- and frequency-dependent emission characteristics of Korean high speed trains should be determined in near future by measurement or numerical analysis. The attenuation during propagation outdoors is calculated by the well-known ISO 9613-2 and auxiliary methods to consider undulated terrain and wind effect.

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Minimisation Technique for Seismic Noise Using a Neural Network (인공신경망을 이용한 탄성파 잡음제거)

  • Hwang Hak Soo;Lee Sang Kyu;Lee Tai Sup;Sung Nak Hoon
    • Geophysics and Geophysical Exploration
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    • v.3 no.3
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    • pp.83-87
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    • 2000
  • The noise prediction filter using a local/remote reference was developed to obtain a high quality data from seismic surveys over the area where seismic transmission power is limited. The method used in the noise prediction filter is a 3-layer neural network whose algorithm is backpropagation. A NRF (Noise Reduction Factor) value of about 3.0 was obtained with appling training and test data to the trained noise prediction filter. However, the scaling technique generally used for minimizing EM noise from electric and electromagnetic data cannot reduce seismic noise, since the technique can allow only amplitude difference between two time series measured at the primary and reference sites.

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A Study on the Construction of 3D Noise Map for Ulsan-City (울산시 소음예측지도 작성에 관한 연구)

  • Lee, Chang-Myung;Song, Chang-Seob
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.10a
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    • pp.144-145
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    • 2010
  • 3-D noise map of Mugue Dong of the Ulsan City has been constructed. Comparing with the measured noise level, the predicted noise level has been confirmed for its accuracy. Correction factors for better prediction result using the constructed noise map have been investigated proving that its method is useful. The procedure of noise map construction method has also been introduced using RLS-90, Cadna A.

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