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Civil-Comp Conferences
ISSN 2753-3239 CCC: 6
PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Ivanyi, J. Kruis and B.H.V. Topping
Paper 3.2
Numerical Prediction of Centrifuge Test for Liquefiable Sand Subjected to Strong Earthquake K.R. Huang and Y. Yuan
College of Civil Engineering, Tongji University, Shanghai, China K.R. Huang, Y. Yuan, "Numerical Prediction of Centrifuge Test for Liquefiable Sand Subjected to Strong Earthquake", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on
Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 6, Paper 3.2, 2023, doi:10.4203/ccc.6.3.2
Keywords: liquefaction, numerical prediction, constitutive model, centrifuge test, calibration, strong earthquake.
Abstract
Earthquake induced soil liquefaction lead to damage of underground structures. Consequently, accurate and reliable evaluation of liquefaction triggering and consequence is critical. Nevertheless, Numerical prediction of dynamic response for saturated sand subjected to strong earthquake remains challenging due to intensive nonlinearity. In this paper, the PDMY02 constitutive model was calibrated through laboratory element tests. The number of cycles to reach liquefaction were appropriately captured for Fujian intermediate sand. Subsequently, the calibrated model was used to numerically predict the seismic response of liquefiable loose and medium dense sand centrifuge tests in OpenSees. Overall, the dynamic properties of sand liquefaction were reasonably reflected by numerical blind prediction. After performing the scheduled centrifuge tests, the accuracy and limitation of numerical blind prediction can be evaluated.
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