Response of Metal Building Cladding to Tsunami Wave Impact Loads
Publication: Journal of Structural Engineering
Volume 146, Issue 11
Abstract
Designing structures resistant to tsunami-like flood flow impacts is contingent on the ability to accurately predict dynamic loading effects on building components. To characterize these effects, two metal building cladding subassembly test specimens, designed for Risk Category II and Category IV wind loading, were experimentally subjected to surges and bores with various wave height and initial water levels. The results reveal that maximum structural responses, quantified by curvatures and displacements, occur after initial wave impact, as splash up on the structure subsides. Furthermore, consistent pressure–time histories between specimens in equivalent flow conditions, despite significantly different strains and displacements, suggest structural flexibility does not influence which wave forcing produces the maximum structural response. Lastly, structural analysis of the specimens, based on measured pressures at maximum strain conditions, reveals that loading conditions ranged between hydrostatic and hydrodynamic depending on the initial flooding conditions. With these findings, a method to predict pressure magnitude and distribution on the cladding at the time of maximum structural response for tsunami-like flood flow impacts is proposed.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to thank the NCI Group, Inc., for providing the metal building cladding designs and Garco Building Systems for providing the materials for the test specimens. Special thanks to Jerry Hatch (NCI Group, Inc.), Lee Shoemaker [Metal Building Manufacturers Association (MBMA)], and Vincent Sagan (MBMA) for their technical support for design and detailing of the test specimens. Use of the Large Wave Flume at the O. H. Hinsdale Wave Research Laboratory was made possible through support from Oregon State University’s College of Engineering. The authors thank Harrison Ko (Oregon State University) for extracting wave-run-up data from video images. The opinions, findings, conclusions, and recommendations expressed in this manuscript are those of the authors and do not necessarily reflect the views of those acknowledged.
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© 2020 American Society of Civil Engineers.
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Received: Oct 29, 2019
Accepted: May 22, 2020
Published online: Aug 21, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 21, 2021
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