基于标准化修正SPT-N值的砂土液化评估双曲线模型

目前大多数砂土液化评价方法是基于某一地区或某一国家的地震液化实例提出的，但由于不同国家标准贯入试验所采用的测试设备和修正方法不同，因此得到的液化判别经验关系在适用范围上存在一定局限性。针对这一问题，首先对不同国家和地区的标贯试验数据资料进行了标准化修正，将其整理成可以进行统一分析的综合数据集；然后基于该综合数据集建立了修正的液化判别双曲线模型，由此确定了考虑3个影响项的标贯击数临界值，并通过比较标准化修正后的实测标贯击数和由双曲线模型计算得到的临界标贯击数的大小来判别场地的液化情况；最后采用了不同的综合数据集来评估不同模型的判别成功率，以此来检验所提出修正模型的适用性和有效性。结果表明：所提出的修正双曲线模型能有效适应不同试验标准的液化判别，且对液化案例和非液化案例的判别成功率均保持在80%左右，符合构造砂土液化判别模型的基本原则。

Hyperbolic Model for Evaluation of Sand Liquefaction Based on Normalized SPT-N Blow Count Correction

Most evaluation methods for sand liquefaction have been proposed for seismic liquefaction cases in certain regions or countries. However, owing to the different test equipment and correction methods used in standard penetration tests in different countries, the empirical relationship of liquefaction evaluation methods has limitations in the scope of adaptation. To address this problem, first, the standard penetration test data of different countries and regions were standardized and corrected, and they were sorted into a comprehensive dataset to be unified and analyzed. Then, based on the comprehensive dataset, a corrected hyperbolic model for liquefaction evaluation was established, from which the critical value of the blow counts in the standard penetration test, considering three influence terms, was determined. The liquefaction of the site was judged by comparing the standardized measured blow counts in the standard penetration test with the critical values of the blow counts in the standard penetration test calculated by the hyperbolic model. Different comprehensive datasets were used to determine the evaluation success rates of different models to test the applicability and effectiveness of the proposed modified model. The results show that the corrected hyperbolic model can effectively adapt to liquefaction evaluation with different test standards, and the success rates of liquefaction and non-liquefaction cases are approximately 80%, which is in line with the basic principle of constructing a sand liquefaction evaluation model.