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WU Qi, CHEN Guo-xing, ZHU Yu-meng, ZHOU Zheng-long, ZHOU Yan-guo. Evaluating liquefaction resistance of saturated sandy soils based on equivalent skeleton void ratio[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1912-1922. DOI: 10.11779/CJGE201810019
Citation: WU Qi, CHEN Guo-xing, ZHU Yu-meng, ZHOU Zheng-long, ZHOU Yan-guo. Evaluating liquefaction resistance of saturated sandy soils based on equivalent skeleton void ratio[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1912-1922. DOI: 10.11779/CJGE201810019

Evaluating liquefaction resistance of saturated sandy soils based on equivalent skeleton void ratio

  • In order to investigate the effect of physical properties on liquefaction resistance CRR, different types of saturated sandy soils (Fujian, Nanjing and Nantong sandy soils with different fines contents (FC)) are categorized as three different cases: (1) a fixed relative density Dr; (2) a fixed void ratio e; (3) a fixed skeleton void ratio esk. A series of isotropically consolidated undrained cyclic triaxial tests are performed on the three saturated sandy soils with various physical properties. The test results show that an increase in FC causes a decrease in CRR of saturated sandy soils at a constant Dr or e, and the CRR at a constant esk will increase with the increase of FC. Based on the test data here and from ten classified saturated sandy soils in the literatures, it is found that the CRR decreases monotonically with the increase of the equivalent skeleton void ratio e_\textsk^*, and a power relationship between CRR and e_\textsk^* is then obtained, which means e_\textsk^*, synthesizing the nature of grain-size distribution, density state and intergrain contact, is an appropriate index of physical properties for evaluating the CRR of sandy soils. Moreover, it is first discovered that the best-fit parameters A and B of CRR-e_\textsk^* correlation can be determined uniquely in terms of index properties of sand grains and fine grains for sandy soils. Consequentely, the CRR value of sandy soils can be captured only using index properties.
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