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KSAS international journal v.8 no.2, 2007년, pp.126 - 131  

Uncertainty Assessment using Monte Carlo Simulation in Net Thrust Measurement at AETF

Lee, Bo-Hwa    (Advanced Propulsion System Department, Korea Aerospace Research Institute   ); Lee, Kyung-Jae    (Advanced Propulsion System Department, Korea Aerospace Research Institute   ); Yang, In-Young    (Advanced Propulsion System Department, Korea Aerospace Research Institute   ); Yang, Soo-Seok    (Advanced Propulsion System Department, Korea Aerospace Research Institute   ); Lee, Dae-Sung    (Advanced Propulsion System Department, Korea Aerospace Research Institute  );
  • 초록

    In this paper, Monte Carlo Simulation (MCS) method was used as an uncertainty assessment tool for air flow, net thrust measurement. Uuncertainty sources of the net thrust measurement were analyzed, and the probability distribution characteristics of each source were discussed. Detailed MCS methodology was described including the effect of the number of simulation. Compared to the conventional sensitivity coefficient method, the MCS method has advantage in the uncertainty assessment. The MCS is comparatively simple, convenient and accurate, especially for complex or nonlinear measurement modeling equations. The uncertainty assessment result by MCS was compared with that of the conventional sensitivity coefficient method, and each method gave different result. The uncertainties in the net thrust measurement by the MCS and the conventional sensitivity coefficient method were 0.906% and 1.209%, respectively. It was concluded that the first order Taylor expansion in the conventional sensitivity coefficient method and the nonlinearity of model equation caused the difference. It was noted that the uncertainty assessment method should be selected carefully according to the mathematical characteristics of the model equation of the measurement.


  • 주제어

    Uncertainty .   Monte Carlo Simulation .   Air flow .   Net thrust .   Traceability.  

  • 참고문헌 (8)

    1. ISO, 1993, 'Guide to the expression of uncertainty in measurements' Martin Basil & Andrew Jamieson, 1999. 'Uncertainty of Complex Systems by Monte Carlo Simulation, Measurement & Control', Vol. 32 
    2. Minsoo Yoon, Sooseok Yang & Daesung Lee, 2001, 'Uncertainty Analysis of Altitude Performance of a Gas Turbine Engine', J. KSAS, Vol. 29, No. 1 
    3. Yongmin Jun, Yang, Samsik Nam, Chuntaek Kim, Sooseok Yang & Daesung Lee, 2002, 'Small Turbojet Engine Test and Uncertainty Analysis,' Proc. KSAS Annual Conference Daesung Lee, Inyoung Yang, Yongmin Jun, Chuntaek Kim & Sooseok Yang, 2002, 'Improving the Measurement Uncertainty of Altitude Test Facility for Gas Turbine Engines', J. KSME, Vol. 26, No. 11 
    4. Daesung Lee, Inyoung Yang, Chuntaek Kim and Sooseok Yang, 2003, 'Uncertainty assessment using Monte carlo simulation in gas flow measurement', KSME, Vol.27, No. 12 pp. 1758-1765     
    5. John A Blevins and Donald A Wagner, 2000, 'An uncertainty assessment of thrust determination in altitude ground test facilities', 38th aerospace sciences meeting & exhibit 
    6. Press, William H., Teukolsky, Saul A, Vetterling, William T., Flannery, Brian P., 1992, 'Numerical Recipes in C', Cambridge university press, pp. 288-290 
    7. L. M. Basil & P. Cox, 2000, 'System Uncertainty Modelling using Monte Carlo Simulation', Measurement & Control, Vol. 33 
    8. Christos E. Papadopoulos & Hoi Yeung, 2001, 'Uncertainty estimation and Monte Carlo simulation method', Flow Measurement and Instrumentation, Vol. 12 

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  • 이경재 (17)

  • 양인영 (15)

  • 양수석 (78)

  • Lee, Dae-Sung (34)

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