• 제목/요약/키워드: Pressure Prediction Model

검색결과 860건 처리시간 0.025초

Pass-by계측과 NCPX계측에 의한 주파수 별 음압 예측 모델 개발에 관한 연구 (A Study on Development of the Prediction Model Related to the Sound Pressure in Terms of Frequencies, Using the Pass-by and NCPX Method)

  • 김도완;문성호;안덕순;손현장
    • 한국도로학회논문집
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    • 제15권6호
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    • pp.79-91
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    • 2013
  • PURPOSES : The methods of measuring the sound from the noise source are Pass-by method and NCPX (Noble Close Proximity) method. These measuring methods were used to determine the linkage of TAPL (Total Acoustic Pressure Level) and SPL (Sound Pressure Level) in terms of frequencies. METHODS : The frequency analysis methods are DFT (Discrete Fourier Transform) and FFT (Fast Fourier Transform), CPB (Constant Percentage Bandwidth). The CPB analysis was used in this study, based on the 1/3 octave band option configured for the frequency analysis. Furthermore, the regression analysis was used at the condition related to the sound attenuation effect. The MPE (Mean Percentage Error) and RMSE (Root Mean Squared Error) were utilized for calculating the error. RESULTS : From the results of the CPB frequency analysis, the predicted SPL along the frequency has 99.1% maximum precision with the measured SPL, resulting in roughly 1 dB(A) error. The TAPL results have precision by 99.37% with the measured TAPL. The predicted TAPL results at this study by using the SPL prediction model along the frequency have the maximum precision of 98.37% with the vehicle velocity. CONCLUSIONS : The Predicted SPL model along the frequency and the TAPL result by using the predicted SPL model have a high level of accuracy through this study. But the vehicle velocity-TAPL prediction model from the previous study by using the log regression analysis cannot be consistent with the TAPL result by using the predicted SPL model.

HILS 기법을 적용한 신축관 이음 수명예측에 관한 연구 (A Study for Lifetime Predition of Expansion Joint Using HILS)

  • 오정수;조승현
    • 한국산학기술학회논문지
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    • 제19권4호
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    • pp.138-142
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    • 2018
  • 본 연구에서는 플랜트 기자재 중 수충격에 매우 취약한 신축관 이음을 대상으로 수충격 발생 시 신축관 이음의 신축량의 변화를 현장에서 취득한 후 HIL 시뮬레이터의 작동데이터로 적용한 HILS 기법을 적용한 진동내구 시험을 수행하였다. 또한 진동내구 시험 시 내구수명의 주요 스트레스 인자로 신축관 내부압력을 가정하였다. 진동내구 시험은 신축관 내부 설정압 따라 진행되었으며 수명데이터를 이용, 수명데이터를 잘 따르는 곡선을 접합하여 수명예측 모델식을 유도하였고 특정 내부 설정압에서의 시험 및 수명결과를 통하여 이를 검증하였다. 한편, 시험 중 발생 된 신축관의 고장모드는 모두 벨로우즈 부 표면에 발생된 크랙과 크랙을 통한 누수 등이 있었다. 본 연구에서 유도한 수명에측 모델식은 설정압력을 스트레스 인자로 따르는 전형적인 역승모형이며 특정환경에서만 적용될 수 있는 한계를 지니고 있다. 이에 본 연구는 진동내구 수명의 가속요인인 압력 외 온도상태 등을 다양한 수명변수가 적용 가능한 복합수명예측 모델식을 개발할 예정이다.

동해안 너울성 파도 예측을 위한 머신러닝 모델 연구 (A Study of Machine Learning Model for Prediction of Swelling Waves Occurrence on East Sea)

  • 강동훈;오세종
    • 한국정보기술학회논문지
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    • 제17권9호
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    • pp.11-17
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    • 2019
  • 최근 들어 동해안에서 너울성 파도에 의한 손실이 빈번히 발생하고 있다. 너울성 파도는 다양한 요인들이 결합되어 발생하기 때문에 예측이 어렵다. 본 연구에서는 머신러닝 기술에 기초하여 동해안에서 너울성 파도의 발생을 예측하는 모델을 제안하였다. 모델 개발을 위해 포항 신항의 하역중단 데이터 및 신항 부근의 기압, 풍속, 풍향, 수온 등의 기상자료를 수집하였다. 수집한 데이터로부터 너울발생에 중요한 영향을 미치는 변수들을 선별하였으며, 모델 개발을 위해 다양한 머신러닝 예측 알고리즘들을 테스트 하였다. 그 결과 조위, 수온, 기압이 너울 발생 예측을 위한 주요 변수로 확인이 되었고, Random Forest 모델이 가장 우수한 성능을 보였으며. 모델의 예측 정확도는 88.6%이다.

A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system

  • Seungin Oh ;Hyunwoo Baek ;Kang-Heon Lee ;Dae-Sic Jang;Jihyun Jun ;Jin-Gyun Kim
    • Nuclear Engineering and Technology
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    • 제55권7호
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    • pp.2642-2649
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    • 2023
  • A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI). The aim of the process is to predict unmeasurable or unreachable dynamic responses such as acceleration, velocity, and displacement by using a limited amount of directly measured physical responses. It is achieved by combining a well-constructed finite element model and robust inverse force identification algorithm. The pressure pipeline system is described by using the displacement-pressure vibro-acoustic formulation to consider fully filled liquid effect inside the pipeline structure. A robust multiphysics modal projection technique is employed for the real-time sensor synchronized prediction. The inverse force identification method is also derived and employed by using Bathe's time integration method to identify the full-field responses of the target system from the modal domain computation. To validate the performance of the proposed process, an experimental test is extensively performed on the nuclear power plant pressure pipeline test-loop under operation conditions. The results show that the proposed identification process could well estimate the unmeasured acceleration in both frequency and time domain faster than 32,768 samples per sec.

Numerical prediction of transient hydraulic loads acting on PWR steam generator tubes and supports during blowdown following a feedwater line break

  • Jo, Jong Chull;Jeong, Jae Jun;Yun, Byong Jo;Kim, Jongkap
    • Nuclear Engineering and Technology
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    • 제53권1호
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    • pp.322-336
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    • 2021
  • This paper presents a numerical prediction of the transient hydraulic loads acting on the tubes and external supports of a pressurized water reactor (PWR) steam generator (SG) during blowdown following a sudden feedwater line break (FWLB). A simplified SG model was used to easily demonstrate the prediction. The blowdown discharge flow was treated as a flashing flow to realistically simulate the transient flow fields inside the SG and the connected broken feedwater pipe. The effects of the SG initial pressure or the broken feedwater pipe length on the intensities or magnitudes of transient hydraulic loads were investigated. Then predictions of the decompression pressure wave-induced impulsive pressure differential loads on SG tubes and the transient blowdown loads on SG external supports were demonstrated and the general aspects of transient responses of such transient hydraulic loads to the FWLB were discussed.

Linear prediction and z-transform based CDF-mapping simulation algorithm of multivariate non-Gaussian fluctuating wind pressure

  • Jiang, Lei;Li, Chunxiang;Li, Jinhua
    • Wind and Structures
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    • 제31권6호
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    • pp.549-560
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    • 2020
  • Methods for stochastic simulation of non-Gaussian wind pressure have increasingly addressed the efficiency and accuracy contents to offer an accurate description of the extreme value estimation of the long-span and high-rise structures. This paper presents a linear prediction and z-transform (LPZ) based Cumulative distribution function (CDF) mapping algorithm for the simulation of multivariate non-Gaussian fluctuating wind pressure. The new algorithm generates realizations of non-Gaussian with prescribed marginal probability distribution function (PDF) and prescribed spectral density function (PSD). The inverse linear prediction and z-transform function (ILPZ) is deduced. LPZ is improved and applied to non-Gaussian wind pressure simulation for the first time. The new algorithm is demonstrated to be efficient, flexible, and more accurate in comparison with the FFT-based method and Hermite polynomial model method in two examples for transverse softening and longitudinal hardening non-Gaussian wind pressures.

2중 Wiebe 연소모델을 이용한 2행정 대형 선박용 디젤엔진의 성능예측 (The prediction of Performance in Two-Stroke Large Marine Diesel Engine Using Double-Wiebc Combustion Model)

  • 김태훈
    • Journal of Advanced Marine Engineering and Technology
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    • 제23권5호
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    • pp.637-653
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    • 1999
  • In this study well-known burned rate expressions of Weibe function and double Wiebe function have been adopted for the combustion analysis of large two stroke marine diesel engine. A cycle simulation program was also developed to predict the performance and pressure waves in pipes using validated burned rate function,. Levenberg-Marquardt iteration method was applied to cali-brate the shape coefficients included in double Wiebe function for the performance prediction of two-stroke marine diesel engine. As a result the performance prediction using double Wiebe func-tion is well correlated withexperimental dta with the accuracy of 5% and pressure waves in intake and transport pipe are well predicted. From the results of this study it can be confirmed that the shape coefficients of burned rate function should be modified using the numerical method suggested for the accurated prediction and double Wiebe function is more suitable than Wiebe func-tion for combustion analysis of large two stroke marine engine.

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PE-GOX 하이브리드 모터의 연소특성 및 성능 예측 기법 : Part II, 성능 예측 기법 (Performance Prediction Methods and Combustion Characteristics of PE-GOX Hybrid Rocket Motor : Part II, Performance Prediction Method)

  • 윤창진;송나영;유우준;문희장;김진곤;성홍계
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2006년도 제27회 추계학술대회논문집
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    • pp.271-274
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    • 2006
  • Polyethylene-GOX 추진제를 이용한 소형 하이브리드 로켓 모터의 성능 예측 모델에 대한 연구를 수행하였다. 제안된 모델에서 연소실 전체에 걸친 상태량을 단일 변수로 가정하여 내탄도 모델 식을 풀어 연소실 내 압력을 예측할 수 있었으며, 실험을 통해 측정된 값과 비교하여 모델의 정확도를 고찰하였다.

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파손압력모델의 경계조건을 이용한 매설배관의 파손확률 평가 (Estimation of Failure Probability Using Boundary Conditions of Failure Pressure Model for Buried Pipelines)

  • 이억섭;김의상;김동혁
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.310-315
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    • 2003
  • This paper presents the effect of boundary condition of failure pressure model for buried pipelines on failure prediction by using a failure probability model. The first order Taylor series expansion of the limit state function is used in order to estimate the probability of failure associated with various corrosion defects for long exposure periods in years. A failure pressure model based on a failure function composed of failure pressure and operation pressure is adopted for the assessment of pipeline failure. The effects of random variables such as defect depth, pipe diameter, defect length, fluid pressure, corrosion rate, material yield stress, material ultimate tensile strength and pipe thickness on the failure probability of the buried pipelines are systematically studied by using a failure probability model for the corrosion pipeline.

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두영역모델을 사용한 원심펌프의 성능예측 (Performance Prediction of Centrifugal Pumps using Two Zone Model)

  • 최영석;심재혁;강신형
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 1998년도 유체기계 연구개발 발표회 논문집
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    • pp.33-41
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    • 1998
  • In this study, the performance prediction programs for centrifugal pumps are developed. To estimate the losses in the centrifugal pump impellers, two-zone model and TEIS(two elements in series) model are applied to the program. The basic concept of two zone model considers the primary zone that is an isentropic core flow and the secondary zone that is non-isentropic region at the impeller exit. The flows through two different zones mixed out at the impeller exit and the mixing process occurs with an increase in entropy, a decrease in total pressure. The level of the core flow diffusion in a impeller was calculated using TEIS(two elements in series) model. The effects of various parameters which are used in this program on the prediction of head and efficiency are discussed. The correlation curves to select the effectiveness of the primitive TEIS model were suggested according to the specific speed of the centrifugal pumps.

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