The Experts below are selected from a list of 35865 Experts worldwide ranked by ideXlab platform
Seokje Lee - One of the best experts on this subject based on the ideXlab platform.
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Probabilistic Load Analysis for Tailplane Considering Uncertainties in Design Variables
2016Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliabl
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probabilistic load analysis for tailplane considering uncertainties in design variables
Journal of the Korea Institute of Military Science and Technology, 2010Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliable probabilistic load distribution for the structural design than the traditional deterministic analysis.
Yongjoon Choi - One of the best experts on this subject based on the ideXlab platform.
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Probabilistic Load Analysis for Tailplane Considering Uncertainties in Design Variables
2016Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliabl
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probabilistic load analysis for tailplane considering uncertainties in design variables
Journal of the Korea Institute of Military Science and Technology, 2010Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliable probabilistic load distribution for the structural design than the traditional deterministic analysis.
In-gul Kim - One of the best experts on this subject based on the ideXlab platform.
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Probabilistic Load Analysis for Tailplane Considering Uncertainties in Design Variables
2016Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliabl
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probabilistic load analysis for tailplane considering uncertainties in design variables
Journal of the Korea Institute of Military Science and Technology, 2010Co-Authors: Yongjoon Choi, In-gul Kim, Seokje LeeAbstract:This paper examined the probabilistic load analysis for the tailplane during pitching maneuvering in the conceptual aircraft design phase. The flight load analysis based on the probabilistic distribution of design variables are compared with the results of the deterministic analysis. Two forms of variable distribution are used in this paper. One is standard normal distribution, the other distribution is calculated from the results of short-period Longitudinal Equation of aircraft motion. The influence of the distribution parameter on the probabilistic load analysis was investigated and the significant design variables that have an impact on the mean and variance of probabilistic load were identified. The comparison indicates that probabilistic load analysis provides more reliable probabilistic load distribution for the structural design than the traditional deterministic analysis.
Agostino De Marco - One of the best experts on this subject based on the ideXlab platform.
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Flight tests of a twin-engine aircraft: performances, stability and parameter estimation
2009Co-Authors: Agostino De MarcoAbstract:The present paper deals with flight test activities performed on P2006T twin-engine light aircraft recently designed and produced by Tecnam(www.tecnam.com). Research activities and flight tests have been performed during the flight certification (C.S. 23) of P2006 aircraft. All the acquired data and flight results presented have been focused to both aircraft certification and to measure and optimize aircraft performances and flight qualities. All flight data have been acquired through a light, accurate and reliable flight instrumentation avail-able at DIAS(Department of Aerospace Engineering). The first part of the paper deals with flight tests that have been performed to measure and acquire aircraft flight performances. Some flight data about aircraft levelled speed, stall speed, climb characteristics and ground performances (take-off and landing) will be presented. After preliminary flight tests, winglet have been designed and added to the final configuration to obtain good climb performances also in OEI(One Engine Inoperative) condition. Excellent ground performances have been measured with short take-off and landing distances compared to aircraft belonging to the same category. All measured flight performances can be considered very good for this air-craft category and have been used to demonstrate aircraft safety and to obtain C.S. 23 certifi-cation. The second part of the paper deals with flight test activities that have been performed to obtain a quantitative measurement of aircraft flight qualities (i.e. dynamic Longitudinal stability characteristics) and to perform a complete aircraft parameter estimation. Through a dedicated set of performed manoeuvres and consequent acquired flight data the Longitudinal stability derivatives have been estimated through MLM (maximum likelihood method). A mat-lab code with the Longitudinal Equation of motion and with classical aircraft dynamics equa-tions has been used to reconstruct the aircraft aerodynamic model
