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标准贯入试验击数与静力触探试验指标的对比研究 被引量:4

Comparative study of standard penetration test number and static penetration test index
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摘要 标准贯入试验和静力触探试验是岩土工程勘察中最常用的两种原位测试方法,两种方法的测试数据存在明显的相关关系,通过收集天津市区埋深30.0 m以上地层的标贯击数和锥尖阻力,采用SPSS软件进行回归分析两个指标之间的相关性并建立回归公式,基于收集的资料对黏性和砂性土进行回归验证,结果证明:黏性土二次回归的平均误差为0.36%,绝对平均误差为15.74%,黏性土线性回归的平均误差为3.70%,绝对平均误差为16.67%;砂性土(包括粉土)二次回归的平均误差为3.05%,绝对平均误差为13.41%,砂性土(包括粉土)线性回归的平均误差为2.79%,绝对平均误差为14.04%,验证效果总体较理想;但同时可以发现,由于收集的资料和验证的场地均相对较少,适用范围较小,在使用时还需结合施工经验综合确定。研究结果可为同类岩土工程勘察工作提供参考。 Standard penetration test and static penetration test are the two most commonly used in-situ test methods in geotechnical engineering survey.The test data of the two methods have obvious correlation,and the depth of Tianjin city is 30.0 m.Based on the standard striking number and cone tip resistance of the above stratum,SPSS software was used to analyze the correlation between the two indicators and establish a regression formula.Based on the collected data,the viscous and sandy soils were verified by regression.The results proved that:The average error of quadratic regression of soil is 0.36%,the absolute average error is 15.74%,the average error of linear regression of cohesive soil is 3.70%,the absolute average error is 16.67%;the secondary regression of sandy soil(including silt)The average error is 3.05%,the absolute average error is 13.41%,the average error of linear regression of sandy soil(including silt)is 2.79%,and the absolute average error is 14.04%.The verification effect is generally satisfactory;but at the same time,it can be found that The data and the verified sites are relatively small,and the scope of application is small.It needs to be comprehensively determined in conjunction with the construction experience.The research results can provide reference for similar geotechnical engineering survey work.
作者 田丽丽 李连营 王海宇 TIAN Li-li;LI Lian-ying;WANG Hai-yu(Tianjin Prospecting Institute,Tianjin 300191,China)
机构地区 天津市勘察院
出处 《地下水》 2019年第2期87-90,共4页 Ground water
关键词 标贯击数 锥尖阻力 回归公式 SPSS软件 standard hit number cone tip resistance regression formula SPSS software
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