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논문 기본 정보

자료유형
학술대회자료
저자정보
김희성 (한국항공대학교) 최주호 (한국항공대학교)
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 2016년도 학술대회
발행연도
2016.12
수록면
1,495 - 1,499 (5page)

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Computer model is a useful tool that provides solution via physical modeling instead of expensive testing. In reality, however, it often does not agree with the objective data and analysis data owing to simplifying assumption and unknown or uncertain input parameters. In this case, calibration method is widely used to improve the accuracy of the unknown parameters of predictive model by using the actual test data. However, if the parameters are calibrated without considering uncertainties due to a limited test data, errors of test and modeling, the result can mislead to wrong conclusions. To solve this problem, a lot of studies have been published that utilized statistical method to quantify uncertainty for calibration of computer model. In this study, a Bayesian approach is proposed to calibrate the computational model of Pyrotechnically Actuated Device (PAD) in a probabilistic manner. The PAD is a component that delivers high power in remote environments by the combustion of a self-contained energy. It usually plays safety-critical role of valve that opens a gas or liquid flow in aviation and defense industry such as launching and deployment. Thus the reliability analysis of the PAD is very important. In this study, we focus on the performance analysis of the operating mechanism in PAD. The mechanism is identified by two analysis stages, in which the first is the elasto-plastic insertion of the piston into the housing, and the second is the piston dynamics including the pressure generation by chemical combustion. Each analysis stage includes a number of unknown parameters which make the analysis inaccurate. therefore, these parameters are identified and calibrated based on a number of experiments. since the second stage includes the model from first stage, the calibration is carried out first with the elasto-plastic analysis model. The calibrated input parameters are applied to the analysis of second stage. After whole calibration process, the result of analysis is validated in probabilistic way by using area metric and inverse validation process at each type of PAD. Finally, the analysis results enclose the actual test data completely, which means that the statistical calibration is made successfully.

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UCI(KEPA) : I410-ECN-0101-2017-550-002049178