Calculating cross-orthogonality with expanded test data

Parker, Grant R.; Ujihara, B. H.

doi:10.2514/3.7978

AIAA Journal

1982

DOI: 10.2514/3.7978

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Calculating cross-orthogonality with expanded test data

Grant R. Parker

B. H. Ujihara

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2017

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Using Dispersed Modes During Model Correlation

Stewart

Hathcock

2017

58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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The model correlation process for the modal characteristics of a launch vehicle is well established. After a test, parameters within the nominal model are adjusted to reflect structural dynamics revealed during testing. However, a full model correlation process for a complex structure can take months of man-hours and many computational resources. If the analyst only has weeks, or even days, of time in which to correlate the nominal model to the experimental results, then the traditional correlation process is not suitable. This paper describes using model dispersions to assist the model correlation process and decrease the overall cost of the process. The process creates thousands of model dispersions from the nominal model prior to the test and then compares each of them to the test data. Using mode shape and frequency error metrics, one dispersion is selected as the best match to the test data. This dispersion is further improved by using a commercial model correlation software. In the three examples shown in this paper, this dispersionbased model correlation process performs well when compared to models correlated using traditional techniques and saves time in the post-test analysis.

show abstract

Using Dispersed Modes During Model Correlation

Stewart

Hathcock

2017

58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

View full text Add to dashboard Cite

show abstract

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Calculating cross-orthogonality with expanded test data

Cited by 1 publication

References 1 publication

Using Dispersed Modes During Model Correlation

Using Dispersed Modes During Model Correlation

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