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Wind and Structures Volume 17, Number 5, November 2013 , pages 495-513 DOI: https://doi.org/10.12989/was.2013.17.5.495 |
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Development and validation of a numerical model for steel roof cladding subject to static uplift loads |
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Amy C. Lovisa, Vincent Z. Wang, David J. Henderson and John D. Ginger
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| Abstract | ||
| Thin, high-strength steel roof cladding is widely used in residential and industrial low-rise buildings and is susceptible to failure during severe wind storms such as cyclones. Current cladding design is heavily reliant on experimental testing for the determination of roof cladding performance. Further study is necessary to evolve current design standards, and numerical modelling of roof cladding can provide an efficient and cost effective means of studying the response of cladding in great detail. This paper details the development of a numerical model that can simulate the static response of corrugated roof cladding. Finite element analysis (FEA) was utilised to determine the response of corrugated cladding subject to a static wind pressure, which included the anisotropic material properties and strain-hardening characteristics of the thin steel roof cladding. The model was then validated by comparing the numerical data with corresponding experimental test results. Based on this comparison, the model was found to successfully predict the fastener reaction, deflection and the characteristics in deformed shape of the cladding. The validated numerical model was then used to predict the response of the cladding subject to a design cyclone pressure trace, excluding fatigue effects, to demonstrate the potential of the model to investigate more complicated loading circumstances. | ||
| Key Words | ||
| finite element analysis; corrugated steel roof cladding; wind loading; testing; validation | ||
| Address | ||
| Amy C. Lovisa, Vincent Z. Wang, and John D. Ginger : School of Engineering and Physical Sciences, James Cook University, Townsville, Queensland 4811, Australia David J. Henderson : Cyclone Testing Station, James Cook University, Townsville, Queensland 4811, Australia | ||