Statistically Generated Weighted Curve Fit of Residual Functions for Modal Analysis of Structures
Author(s) -
Paul Bookout
Publication year - 1997
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/1997/587328
Subject(s) - residual , weighting , modal testing , modal , polynomial , function (biology) , flexibility (engineering) , mathematics , measure (data warehouse) , stiffness , curve fitting , test data , polynomial and rational function modeling , modal analysis , mathematical analysis , algorithm , statistics , structural engineering , computer science , finite element method , engineering , physics , materials science , database , evolutionary biology , acoustics , polymer chemistry , biology , programming language
A statistically generated weighting function for a second-order polynomial curve fit of residual functions has been developed. The residual flexibility test method, from which a residual function is generated, is a procedure to modal test large structures in a free-free environment to measure the effects of higher order modes and stiffness at distinct degree of freedom interfaces. Due to the present damping estimate limitations in the modal parameter evaluation (natural frequencies and mode shapes) of test data, the residual function has regions of irregular data, which should be a smooth curve in a second-order polynomial form. A weighting function of the data is generated by examining the variances between neighboring data points. From a weighted second-order polynomial curve fit, an accurate residual flexibility value can be obtained. The residual flexibility value and free-free modes from testing are used to improve a mathematical model of the structure, which is used to predict constrained mode shapes.
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