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Erschienen in:
2012 | OriginalPaper | Buchkapitel
13. Uncertainty Quantification of Weighted Residual Method in Loads Estimation
verfasst von : Colin M. Haynes, Michael D. Todd, Kevin L. Napolitano
Erschienen in: Topics in Model Validation and Uncertainty Quantification, Volume 4
Verlag: Springer New York
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Abstract
This paper presents an uncertainty analysis for a new methodology to predict reaction forces in weapon store connections of naval aircraft. The proposed methodology utilizes a strain-gage-based measurement technique in which a series of sensors are affixed to the connector and calibrated with a set of known loading configurations. The calibration matrix relating the measured strains to the loads can then be used to estimate unknown loads from measured strains. In this way, the system can be used to monitor the force through the connector when the aircraft is in service.
The primary objective in this work is to quantify the inherent uncertainties due to noise, miscalibration, or the estimation process itself in this loads estimation approach. First, the relationship between variance on the sensor measurements and the variance on the predicted force is characterized. A technique of sensor fusion called the weighted residual method is used to minimize the variance on force components that are the most important to the user of the system. The effect of thermal loading on the system is also explored via finite element simulation.