The prevailing approach to the integrated test analysis process (ITAP) in the U.S. aerospace community involves execution of seven successive tasks, namely (1) model development, (2) modal test planning, (3) measured data acquisition, (4) measured data analysis, (5) experimental modal analysis, (6) test analysis correlation, and (7) model reconciliation. Persistence of closely spaced body and shell breathing modes in launch vehicle and spacecraft structures presents a “many modes” challenge to selection of analytical and experimental target modes. Well established coupled loads analysis decomposition appear to provide relief to the “many modes” challenge. Strategies aimed at prioritizing the multitude of sensitivities and uncertainties offer further relief. Established government orthogonality criteria are difficult to satisfy due to the multitude of closely-spaced measured complex modes. Recent introduction of a left- hand eigenvector, experimental modal analysis strategy appears to eliminate these difficulties. Unavoidable nonlinearity in structural joints threatens to invalidate many aspects of the established ITAP scheme. Recollection of space shuttle era nonlinear coupled loads methodologies and incorporation of modern, nonlinear hysteretic joint models offers promising relief to the structural joint difficulties. All of the above noted techniques and strategies may lead to more effective test analysis correlation and reconciliation outcomes.
The Integrated Modal Test-Analysis Process (2020 Challenges)
Conf.Proceedings of Society
Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7 ; Kapitel : 13 ; 123-160
2020-09-30
38 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Model development , Modal test planning , Measured data acquisition , Measured data analysis , Experimental modal analysis , Test analysis correlation , Model reconciliation Engineering , Aerospace Technology and Astronautics , Energy Harvesting , Vibration, Dynamical Systems, Control , Measurement Science and Instrumentation
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