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基于标贯试验的含细粒砂土液化概率判别新模型

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含细粒砂土在自然界中普遍存在,在应用标准贯入试验判别砂土液化时,通过对标贯击数进行修正反映砂土中细粒含量的影响.以国内外25次大地震收集整理的230组实测数据为基础,利用Idriss和Boulanger、Cetin等和NCEER分别提出的三种标贯击数修正公式,通过逻辑回归建立三个液化概率计算模型,对比三个模型,Cetin等修正公式相应的液化概率计算模型拟合优度和预测准确性最好.根据中国《岩土工程勘察规范》(GB 50021-2001)和美国《标准贯入测试和对开管取样的标准试验方法》(ASTM D1586-11)的标贯击数转换关系,推导出适合于中国规范的含细粒砂土液化概率判别新模型.回判分析表明,新模型对基于美标的实测液化数据具备良好的判别性能.利用台湾集集地震实测288组数据,比较了新模型与建筑抗震设计规范(GB 50011-2010)(以下简称"建规法")判别方法.结果表明,新模型的总体判别成功率94.1%高于建规法77.4%,其中液化场地判别成功率93.9%略低于建规法的99.4%,但非液化场地成功率86.3%远远高于建规法判别成功率48.4%.
A New SPT-Based Model for Liquefaction Probability Discrimination of Fine-Grained Sandy Soil
Fine-grained sandy soil is widespread in nature.When the standard penetration test(SPT)is used for liquefaction discrimination of sandy soil,the influence of fine grain content in sandy soil is re-flected by modifying the standard penetration blow count.Based on 230 sets of measured data collect-ed and collated from 25 major earthquakes worldwide,using three correction formulas for SPT blow counts proposed by Idriss and Boulanger,Cetin et al.and NCEER,this study established three lique-faction probability calculation models using logistic regression.A comparison of the three models showed that the one based on correction formula proposed by Cetin et al.demonstrated the best good-ness-of-fit and prediction accuracy.According to the conversion relationship between blow counts in the Chinese Code for Investigation of Geotechnical Engineering(GB 50021-2001)and Standard Test Method for Standard Penetration Test(SPT)and Split-Barrel Sampling of Soils(ASTM D1586-11),a new model for liquefaction probability discrimination of fine-grained sandy soil suitable for the Chinese Code was derived.Back-analysis indicated that the new model performed well in dis-criminating liquefaction data measured using the American Standard.Using 288 sets of data from the Chi-Chi earthquake in Taiwan,the new model was compared with the discrimination method from the Code for Seismic Design of Buildings(GB 50011-2010)(hereinafter referred to as"Building Code method").The results showed that the overall discrimination success rate of the new model(94.1%)exceeded that of the Building Code method(77.4%),with a success rate of liquefaction sites of 93.9%,slightly lower than that of the Building Code method(99.4%),but the success rate of non-liq-uefaction sites(86.3%)was significantly higher than that of the Building Code method(48.4%).

liquefaction discriminationstandard penetration testfine grain contentlogistic regression

李萍萍、赵少飞、鲍俊文、刘子源

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华北科技学院,北京 101601

液化判别 标准贯入试验 细粒含量 逻辑回归

2024

防灾减灾工程学报
中国灾害防御协会 江苏省地震局

防灾减灾工程学报

CSTPCD北大核心
影响因子:0.529
ISSN:1672-2132
年,卷(期):2024.44(5)