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Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics
Zhao,Meng Yun1; Yan,Wang Ji1,2; Ren,Wei Xin1; Beer,Michael3
2019-09
Conference NameProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
Source PublicationProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
Pages2714-2718
Conference Date22 September 2019 - 26 September 2019
Conference PlaceHannover
Abstract

The distributions of ratios of random variables arise in many applied problems such as in structural dynamics working with frequency response functions (FRFs) and transmissibility functions (TFs). When analysing the distribution properties of ratio random variables through the definition of probability density functions (PDF), the problem is usually accompanied by multiple integrals. In this study, a unified solution is presented to efficiently calculate the PDF of a ratio random variable with its denominator and numerator specified by arbitrary distributions. With the use of probability density transformation principle, a unified expression can be derived for the ratio random variable by reducing the concerned problem into two-dimensional integrals. As a result, the PDFs of the ratio random variable can be efficiently computed by using effective numerical integration techniques. Finally, based on the vibration tests performed on the Alamosa Canyon Bridge, the proposed method is applied to the data to quantify the uncertainty of FRFs and TFs.

KeywordFrequency Response Function Numerical Integration Probability Density Function Ratio Distribution Structural Dynamics Transmissibility Function
DOI10.3850/978-981-11-2724-30827-cd
URLView the original
Language英語English
Scopus ID2-s2.0-85089180141
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Document TypeConference paper
CollectionPersonal research not belonging to the institution
Affiliation1.Department of Civil Engineering,Hefei University of Technology,China
2.Institute for Aerospace Technology,Composites Group,University of Nottingham,United Kingdom
3.Institute for Risk and Reliability,Leibniz Universität Hannover,Germany
Recommended Citation
GB/T 7714
Zhao,Meng Yun,Yan,Wang Ji,Ren,Wei Xin,et al. Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics[C], 2019, 2714-2718.
APA Zhao,Meng Yun., Yan,Wang Ji., Ren,Wei Xin., & Beer,Michael (2019). Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, 2714-2718.
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