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Reduced Model Approximation Approach Using Model Updating Methodologies
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DOI：10.1061/(ASCE)EM.1943-7889.0001422.png)
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Abstract
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Model reduction has been performed for several decades to allow for correlation of an analytical model to experimental data at a reduced number of points; however, traditional approaches have limitations. Static stiffness matrix reduction methods (e.g.,Guyan) may not accurately capture the system dynamics, while techniques based on mode shapes [e.g.,the system equivalent reduction expansion process (SEREP)] may experience rank deficiency issues. A new model reduction approach presented herein addresses these limitations by combining the accuracy of SEREP with the full-rank attributes of Guyan reduction. The advantages of the presented methodology over traditional reduction techniques are showcased via analytical studies on a cantilevered beam and general plate-type structure. (C) 2018 American Society of Civil Engineers.
Keywords:
Modal reduction
Modal correlation
Model improvement
Guyan reduction
Model reduction
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