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Target design load setting is one of the critical aspects in preliminary design phase of aircraft design process. Overestimation or underestimation of design loads lead to the aircraft's performance and reliability implications, risk of costly re-design, and specific design lead time. Selection of reliable design loads under uncertainties require a large number of analyses to evaluate loads for numerous flight conditions like maneuver loads, gust loads, ground loads, time dependent response under control deflection and so on leading to huge computational burden. To overcome this issue, Principal Component Analysis assisted Surrogate Modeling (PCA-SM) is developed in the current work for rapid reconstruction of correlated loads with relatively smaller number of analyses using Design of Experiments (DoE). The advantages of PCA-SM method over other surrogate modeling techniques have been discussed and demonstrated on a twin-aisle commercial transport aircraft case.

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This page is a summary of: Principal Component Analysis Assisted Surrogate Modeling (PCA-SM) of Correlated Loads for Uncertainty Analysis of Design Load Envelopes, June 2015, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2015-3092.
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