Title: Operational modal analysis and Bayesian model updating of a standing seam metal roofing system
Authors: Jun Hu; Paul Heung-Fai Lam; Kwok-Fai Chung
Addresses: Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong ' Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong ' Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch), The Hong Kong Polytechnic University, Hong Kong
Abstract: Clip detachment is found to be a common failure mode for metal roofs. It leads to the stiffness reduction at some supports of the metal roof and alter its dynamic characteristics. Therefore, it is possible to detect the damage of clips by monitoring the modal properties. To assess the dynamic properties of metal roofs, part of a full-scale standing seam metal roof was constructed on a supporting steel frame in the laboratory. Modal parameters were identified from the measured acceleration responses using frequency domain decomposition method (FDD). The finite element model of the system was developed, and the clip stiffness was estimated by Markov chain Monte Carlo (MCMC)-based Bayesian model updating method. Both the modal identification and model updating results are reported in detail. The results presented in this paper are valuable and important for the development of a structural health monitoring system for metal roofing system.
Keywords: operational modal analysis; standing seam metal roofing system; Bayesian model updating; Markov chain Monte Carlo simulation.
International Journal of Lifecycle Performance Engineering, 2019 Vol.3 No.1, pp.4 - 19
Received: 02 Jul 2018
Accepted: 28 Oct 2018
Published online: 21 May 2019 *