A metric on the similarity between two frequency response functions. (8th December 2018)

• Record Type: Journal Article
• Authors: Lee, Dooho; Ahn, Tae-Soo; Kim, Hyeon-Seok
• Is Part Of: Journal of sound and vibration. Volume 436(2018)
• Page Start: 32
• Page End: 45
• Publication Date: 2018-12-08
• Subjects: Frequency response function -- Model updating -- Model validation -- Similarity metric; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2018.08.051
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: This paper is focused on the development a new metric that can provide information on similarity between a frequency response function (FRF) from a finite element (FE) model and from an experiment to determine a target level of FE model accuracy in a deterministic sense. Typically, this metric could be used in setting a target level of model updating of an FE model that predicts structural-acoustic responses in high modal density mid-frequency regimes. The FRF similarity metric (FRFSM) is based on the likelihood between two FRFs with an assumed normal distribution of structural-acoustic responses. A normalization process over the frequency range of concern provides a metric value between 0 and 1. A numerical model that consists of two substructures and joint bushings objectively examined the characteristics of the proposed FRFSM with known parameter errors. The numerical study showed that the proposed FRFSM well represented the overall difference between two FRFs over the whole frequency band. Next, subjective evaluations that consist of evaluating the similarity for two pairs of FRFs by an expert group within an automotive company were conducted to assess the performance of the proposed metric. Subjective evaluations were conducted for various FRF sets in automotive noise and vibration responses. After compensating the subjective test results in calculating the correlation with the proposed metric, the performance of the metric was investigated. Additionally, the capability of the proposed metric when it represents the amount of updating in the frequency domain was illustrated by comparing the degree of correlation with the subjective evaluations. Comparisons with the results of the subjective evaluations showed that the FRFSM well represented the experts' knowledge on the similarity of two FRFs, both in an absolute sense and in relative accuracies of the updated FE models. Graphical abstract: Highlights: A new similarity metric for two FRFs on a normalized scale [0, 1] was proposed. FRFSM well represented the difference of FRFs over the whole frequency band. FRFSM showed excellent correlation with that of expert evaluations. FRFSM is appropriate in the model validation of large and complex FE models.