Calibration of non-linear effective stress code for seismic analysis of excess pore pressures and liquefaction in the free field
Calibration of non-linear effective stress code for seismic analysis of excess pore pressures and liquefaction in the free field
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自由场超孔隙水压力和液化地震分析非线性有效应力代码的标定
DOI:
10.1016/j.soildyn.2018.01.029
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发表时间:
2018
影响因子:
4
通讯作者:
T. Abdoun
中科院分区:
文献类型:
--
作者:
R. Dobry;W. El;T. Abdoun
The paper presents numerical predictions of excess pore pressure, liquefaction and settlement response of four centrifuge model tests of 6 m uniform deposits of saturated clean Ottawa sand, placed by dry pluviation and having a relative density ranging from 38% to 66%. The deposits were subjected to 1D uniform base shaking consisting of 10–15 cycles of peak acceleration ranging from 0.04 to 0.12 g. All predictions were conducted with the nonlinear effective stress numerical code Dmod2000. Significant effort was spent in calibrating Dmod2000 by matching the pore pressure and settlement measurements of the first shaking (S1) of a series of shakings conducted in centrifuge Experiment 3. This resulted in very good predictions of both pore pressures and settlement measured in this shaking S1. The exercise showed the importance for realistic simulations of having the correct soil compressibility and permeability. This calibrated version of Dmod2000 was used for a good pore pressure prediction of the preshaken deposit in the same Experiment 3 (S36), by modifying only one parameter in the undrained pore pressure model; and also well predicted pore pressure responses in Tests FFV3 and PFV1, withoutanychange in the parameters of Dmod2000 except for use of the new input motions (Type B predictions). The experimental and numerical results showed thatbothcyclic shear stress/strainsandupward water flow determinetogetherthe pore pressure buildup and liquefaction phenomena. The soil response is partially drained rather than undrained, and pore pressure dissipation does take place during shaking both before and after liquefaction occurs.
影响因子:
4
作者:
M. Manzari;Mohamed El Ghoraiby;B. Kutter;M. Zeghal;T. Abdoun;P. Arduino;R. Armstrong;M. Beaty;T. Carey;Yunmin Chen;Alborz Ghofrani;D. Gutierrez;Nithyagopal Goswami;S. Haigh;W. Hung;S. Iai;P. Kokkali;Chung-Jung Lee;S. Madabhushi;L. Mejia;M. Sharp;T. Tobita;K. Ueda;Yan-Guo Zhou;K. Ziotopoulou
通讯作者:
M. Manzari;Mohamed El Ghoraiby;B. Kutter;M. Zeghal;T. Abdoun;P. Arduino;R. Armstrong;M. Beaty;T. Carey;Yunmin Chen;Alborz Ghofrani;D. Gutierrez;Nithyagopal Goswami;S. Haigh;W. Hung;S. Iai;P. Kokkali;Chung-Jung Lee;S. Madabhushi;L. Mejia;M. Sharp;T. Tobita;K. Ueda;Yan-Guo Zhou;K. Ziotopoulou