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Sizing Optimization of Trapezoidal Corrugated Roof Sheeting, Supporting Solar Panels, Under Wind Loading

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Topics in Dynamics of Civil Structures, Volume 4

Abstract

The dimensions of trapezoidal roof sheeting supporting solar panels are optimized so that a minimum amount of steel is required for a specific range of wind loads. Sheets of different grades and different thicknesses along with different ranges of wind speeds are considered. In order to simulate the behavior of the corrugated sheets analysis is carried out for two limit states: strength and serviceability. For both limit states, the objective is to minimize the weight per unit area of the panels. First, optimum cross-section is obtained to meet the strength conditions. Then the deflection is controlled for serviceability. The optimum dimensions for each steel grade and loading condition are determined. The optimization problem is formulated as a multi-objective problem that aims to minimize the section’s weight and maximize the section elastic modulus under the wind loading condition. A graph theory based approach is presented for the sizing optimization, employing an applied graph theory approach for the multi-objective all pairs shortest path problem. The proposed methodology addresses the sizing optimization problem to determine the geometry of the thin-walled cold-formed steel cross-sections that satisfy the design topological constraints.

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Acknowledgements

Funding of this research project was provided by the Bluescope Steel Metallurgy Centre at the University of Wollongong, sponsored by the Faculty of Engineering and Bluescope Steel Limited. Any opinions expressed are those of the authors alone.

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Sharafi, P., Teh, L.H., Hadi, M.N.S. (2013). Sizing Optimization of Trapezoidal Corrugated Roof Sheeting, Supporting Solar Panels, Under Wind Loading. In: Catbas, F., Pakzad, S., Racic, V., Pavic, A., Reynolds, P. (eds) Topics in Dynamics of Civil Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6555-3_57

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  • DOI: https://doi.org/10.1007/978-1-4614-6555-3_57

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6554-6

  • Online ISBN: 978-1-4614-6555-3

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