2009
DOI: 10.1115/1.2981092
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Finite Element Model Tuning Using Measured Mass Properties and Ground Vibration Test Data

Abstract: A simple and efficient approach for tuning finite element models to match computed frequencies, mode shapes, and mass properties to the experimental data is introduced in this study. The model tuning procedure proposed in this study is based on a series of optimizations. This approach has been successfully applied to create an equivalent beam finite element model for the X-37 drogue chute test fixture with the X-planes pylon. The goal was a simple model capable of being analyzed in a captive carry configuratio… Show more

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Cited by 10 publications
(2 citation statements)
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“…Twist locks are provided to hold the containers safely and rigidly on the platform of the vehicle or on the base of trailer. The twist lock locations on the platform, the load pattern inside the containers, load intensity, location of centre of gravity, the wheel base, self-weight of the platform, axle load distribution, approach and departure angles, ramp angle of the vehicle, trailer length, front & rear overhangs, vehicle width or height form the most important deign constraints of the chassis mounted platform [5][6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Twist locks are provided to hold the containers safely and rigidly on the platform of the vehicle or on the base of trailer. The twist lock locations on the platform, the load pattern inside the containers, load intensity, location of centre of gravity, the wheel base, self-weight of the platform, axle load distribution, approach and departure angles, ramp angle of the vehicle, trailer length, front & rear overhangs, vehicle width or height form the most important deign constraints of the chassis mounted platform [5][6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11] There are two optimization algorithms adopted in NASA Dryden's MDAO tool: the traditional gradient-based algorithm 12 and the genetic algorithm. Gradient-based algorithms work well for continuous design variable problems, whereas GAs can handle continuous as well as discrete design variable problems easily.…”
Section: Structural Dynamic Model Tuning Proceduresmentioning
confidence: 99%