Chapter
Feb 21, 2020
Geo-Congress 2020

Sensitivity and Numerical Analysis Using Strain Space Multiple Mechanism Model for a Liquefiable Sloping Ground

Publication: Geo-Congress 2020: Geotechnical Earthquake Engineering and Special Topics (GSP 318)

ABSTRACT

In this paper a model is developed to examine the geo-material variabilities and earthquake motions after calibrating the model by carrying out class C numerical simulation based on dynamic centrifuge test on a liquefiable sloping ground using Ottawa F-65 sand. The constitutive model parameters were derived from the result of cyclic torsional shear test carried out at a relative density of 60%. Following the successful validation with the centrifuge test, the constitutive model is used to carry out sensitivity analysis to ascertain the effect of various uncertainties including the material variability present in situ conditions. In order to understand the behavior of a liquefiable sloping ground under realistic scenario earthquake input motions, a numerical study is also performed under 1995 Kobe and 1989 Loma Prieta earthquake motions and the soil system response is compared.

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REFERENCES

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Madabhushi, SC., Haigh, S., and Madabhushi, GP. (2018). “LEAP-GWU-2015: Centrifuge and numerical modelling of slope liquefaction at the University of Cambridge.” Soil Dynamics and Earthquake Engineering 113, 671-681.
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Ueda, K., and Iai, S. (2018). “Numerical Predictions for Centrifuge Model Tests of a Liquefiable Sloping Ground Using a Strain Space Multiple Mechanism Model Based on the Finite Strain Theory.” Soil Dynamics and Earthquake Engineering 113, 771-792.
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Published In

Go to Geo-Congress 2020
Geo-Congress 2020: Geotechnical Earthquake Engineering and Special Topics (GSP 318)
Pages: 51 - 59
Editors: James P. Hambleton, Ph.D., Northwestern University, Roman Makhnenko, Ph.D., University of Illinois at Urbana-Champaign, and Aaron S. Budge, Ph.D., Minnesota State University, Mankato
ISBN (Online): 978-0-7844-8281-0

History

Published online: Feb 21, 2020

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Anurag Sahare, S.M.ASCE [email protected]
Ph.D. Candidate, Graduate School of Engineering, Kyoto Univ., Kyoto, Japan. E-mail: [email protected]
Kyohei Ueda, Ph.D. [email protected]
Assistant Professor, Disaster Prevention Research Institute, Kyoto Univ., Kyoto, Japan. E-mail: [email protected]
Ryosuke Uzuoka, Ph.D. [email protected]
Professor, Disaster Prevention Research Institute, Kyoto Univ., Kyoto, Japan. E-mail: [email protected]

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