Abstract
In order to evaluate sandy soil liquefaction, Rock Engineering Systems (RES) was utilized to establish the estimation model of sandy soil liquefaction. Aiming at unascertained factors in the analysis of sandy soil liquefaction evaluation, earthquake magnitude, maximum ground acceleration, the value of standard penetration test, specific penetration resistance, relative density, mean particle size, and water table were selected as influencing factors of sandy soil liquefaction. The interaction matrix was utilized to describe the interaction among the factors. Expert semi-quantitative (ESQ) method was employed to code the interaction matrix. The interaction strength and dominance were analyzed by cause and effect diagram. Finally, the estimation model-based RES was proposed, and the results were in line with actual situation well. In addition, the improved estimation model-based RES was also presented and discussed, which was more convenient with the same prediction accuracy rate.
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Funding
This work is sponsored by the research of National Key Basic Research Program of China (2014CB046901), Shanghai Pujiang Program (15PJD039), Science and Technology Commission of Shanghai Municipality (16DZ1201303), JG Training Fund for Key Defense Research Project from Tongji University, Key Laboratory of Karst Collapse Prevention CAGS, GDUE Open Funding (SKLGDUEK1417), Shanghai Institute of Geological Survey [2016(D)-008(F), 2017(D)-005(F)-02], LSMP Open Funding (KLLSMP201403, KLLSMP201404), Key Laboratory of Karst Collapse Prevention CAGS, CCCC Key Lab of Environment Protection & Safety in Foundation Engineering of Transportation, Consulting Research Project of Chinese Academy of Engineering (2016-XY-51), the National Natural Science Foundation of China (No. 41072205) and Key Discipline Construction Program of Shanghai (Geological Engineering, No. B308).
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Wang, J., Deng, Y., Wu, L. et al. Estimation model of sandy soil liquefaction based on RES model. Arab J Geosci 11, 565 (2018). https://doi.org/10.1007/s12517-018-3885-8
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DOI: https://doi.org/10.1007/s12517-018-3885-8