• 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引(EI)收录期刊
  • Scopus数据库收录期刊
张小玲, 李秀瑜, 杜修力. 考虑细粒含量的砂土液化判别双曲线模型研究[J]. 岩土工程学报, 2021, 43(3): 448-455. DOI: 10.11779/CJGE202103007
引用本文: 张小玲, 李秀瑜, 杜修力. 考虑细粒含量的砂土液化判别双曲线模型研究[J]. 岩土工程学报, 2021, 43(3): 448-455. DOI: 10.11779/CJGE202103007
ZHANG Xiao-ling, LI Xiu-yu, DU Xiu-li. Hyperbolic model for estimating liquefaction potential of sand considering the influences of fine grains[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(3): 448-455. DOI: 10.11779/CJGE202103007
Citation: ZHANG Xiao-ling, LI Xiu-yu, DU Xiu-li. Hyperbolic model for estimating liquefaction potential of sand considering the influences of fine grains[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(3): 448-455. DOI: 10.11779/CJGE202103007

考虑细粒含量的砂土液化判别双曲线模型研究

Hyperbolic model for estimating liquefaction potential of sand considering the influences of fine grains

  • 摘要: 在砂土的地震液化判别模型中,大多数模型都是针对洁净砂的液化判别提出来的,忽略了其中细粒含量的影响,而细粒含量是影响砂土液化的一个重要因素,忽略细粒含量的影响会导致液化判别结果过于保守。根据中国大陆以往地震液化资料和台湾集集地震的标准贯入试验数据资料,在原始双曲线模型的基础上建立了适用于含细粒砂性土的修正的液化判别双曲线模型,提出了关于细粒影响项的修正系数;并采用所建模型对中国大陆地震数据和台湾集集地震数据进行回判分析,讨论了模型的回判成功率;最后利用国内外大地震液化数据集对判别模型进行检验,与我国规范方法进行对比来验证该双曲线模型的有效性和适用性。结果表明:该提出的修正液化判别双曲线模型既适用于不同烈度区的土壤液化判别,也能对土层深度在20 m范围内的砂土液化情况进行有效判别;而且本文提出的砂土含细粒修正系数项在一定程度上弥补了双曲线液化判别模型适用范围较为局限的缺点,并在保证液化样本点的判别成功率的基础上,提高了非液化样本点的判别成功率。

     

    Abstract: In the evaluation models for seismic liquefaction of sand, most models are proposed for the liquefaction potential of clean sand, and the influence of fine grain content is often ignored. However, the fine grain content is an important factor of soil liquefaction, and it will result in the conservative result if neglected. Based on the previous liquefaction data in the mainland of China and the standard penetration test data of Chi-Chi earthquake in Taiwan of China, the modified coefficient of influence term of fine grains is proposed, and the hyperbolic model of liquefaction evaluation for fine-grained sand is established. The proposed model is applied to the data for estimating, and its success rate is discussed. Finally, the model is examined by the large seismic liquefaction data set, and its validity and applicability are verified by comparing with the standard method. The results show the proposed modified liquefaction hyperbolic model is applicable to the liquefaction evaluation of soils in the areas with different intensities, and can effectively estimate liquefaction of sand within the soil depth of 20 m. The proposed correction coefficient of fine grain content in sand can make up for the limitation of the application range of the hyperbolic model for liquefaction evaluation, and on the basis of keeping the evaluation success rate for liquefaction samples, the evaluation success rate for non-liquefaction samples is improved.

     

/

返回文章
返回