Shear Modulus Degradation Curves of Gravelly and Clayey Soils Based on KiK-Net In Situ Seismic Observations
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 143, Issue 9
Abstract
In this paper, the nonlinearity of the gravelly and clayey soils in Japan is investigated based on the Kiban Kyoshin network (KiK-net) downhole array seismic observations. Shear modulus reduction ratios at 18 sites under 165 strong motions are calculated by comparing the response amplification spectra (surface response normalized by bedrock response) subjected to strong motions with those subjected to weak motions and are plotted versus the corresponding seismically induced shear strains. The back-calculated shear modulus reduction ratios are categorized into several groups under different effective confining pressures, and a best-fit line is proposed for each group as the corresponding empirical shear modulus degradation curve. The obtained results are compared with the existing studies based on both in situ and laboratory tests, highlighting the influence of different testing techniques on nonlinear soil behavior. Furthermore, a modified cyclic nonlinear model is used to formulate the proposed empirical curves to account for the shear modulus degradation under a wide range of effective confining pressure. This modified model can then be used to specify material constitutive relationships for the future numerical analysis of geotechnical structures under seismic loads.
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Acknowledgments
The authors thank the support of National Natural Science Foundation of China (41502304 and 5170090282), Shandong Natural Science Foundation (ZR201702160170), Specialized Research Fund for the Doctoral Program of Higher Education, China (20133721120004), China Postdoctoral Science Foundation (2015M581940), Project of Shandong Province Higher Educational Science and Technology Program (J14LG04), and the Ministry of Housing and Urban-Rural Development of China (2014-K3-026).
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©2017 American Society of Civil Engineers.
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Received: Jun 6, 2016
Accepted: Mar 2, 2017
Published online: May 30, 2017
Published in print: Sep 1, 2017
Discussion open until: Oct 30, 2017
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