Technical Papers
Jan 7, 2019

Coupled Seepage-Deformation Model for Predicting Pore-Water Pressure Response during Tsunami Loading

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 145, Issue 3

Abstract

Tsunamis induce pore-water pressures in coastal soil beds, and understanding how tsunami-induced excess pore-water pressure gradients form is not straightforward given the loading timescale and seepage effects. This study develops a coupled seepage-deformation model to describe tsunami-induced pore-water pressure response in soil beds. The coupled seepage-deformation model is implemented using the finite-difference method, and numerical experimentation is performed on saturated soil beds using hypothetical tsunamis. The results imply the dependence of the tsunami-induced excess pore-water pressure head gradient on the tsunami water’s weight and compressibility of the pore water. The results imply the importance of modeling tsunami-induced deformation, the partial drainage condition, and pore-fluid condition when considering tsunami-induced pore-water pressures in soil beds.

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Acknowledgments

The authors would like to acknowledge the input of Harry Yeh, Malgorzata Peszyńska, Solomon Yim, and T. Matthew Evans, who helped to strengthen the work. The authors were funded by the National Science Foundation (NSF) under Grant No. CMMI-1538211, the Oregon State University College of Engineering, and the Cascadia Lifelines Program (CLiP). The financial support is acknowledged gratefully.

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Journal of Geotechnical and Geoenvironmental Engineering
Volume 145Issue 3March 2019

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Received: Nov 2, 2017
Accepted: Aug 20, 2018
Published online: Jan 7, 2019
Published in print: Mar 1, 2019
Discussion open until: Jun 7, 2019

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Abbas Abdollahi [email protected]
Geotechnical Engineer, AECOM Technical Services, Inc., 2020 L St., Sacramento, CA 95811 (corresponding author). Email: [email protected]; [email protected]
H. Benjamin Mason
Associate Professor, School of Civil and Construction Engineering, Oregon State Univ., 450 Learning Innovation Center, Corvallis, OR 97331.

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