Experimental modal analysis of structural systems by using the fast relaxed vector fitting method
نویسندگان
چکیده
System identification (SI) techniques can be used to identify the dynamic parameters of mechanical systems and civil infrastructures. The aim is rapidly consistently model object interest, in a quantitative principled manner. This also useful establishing capacity structure serve its purpose, thus as tool for structural health monitoring (SHM). In this context, input–output SI allow precise robust regardless actual input. However, one most popular widely approaches, Rational Fraction Polynomial (RFP) method, has several drawbacks. fitting problem nonlinear generally non-convex, with many local minima; even if linearised via weighting, it become severely ill-conditioned. Here, novel proposal broadband macro-modelling structures frequency domain output and/or input channels presented. A variant vector approach, Fast Relaxed Vector Fitting (FRVF), applied so far literature only electrical circuits, translated adapted technique compared other traditional techniques. study about robustness FRVF method respect noise carried out on numerical system. Finally, two experimental case studies: scaled high-aspect-ratio (HAR) wing well known benchmark three-storey frame Los Alamos laboratories. Promising results were achieved terms accuracy computational performance.
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ژورنال
عنوان ژورنال: Structural control & health monitoring
سال: 2021
ISSN: ['1545-2263', '1545-2255']
DOI: https://doi.org/10.1002/stc.2695