土体硬化模型参数试验研究及其在南昌地区基坑工程的应用
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1.华东交通大学 江西省岩土工程基础设施安全与控制重点实验室;2.南昌轨道交通集团有限公司;3.浙江杭海城际铁路有限公司

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TU473

基金项目:

国家杰出青年科学基金(51725802);国家自然科学基金资助项目(51878276)


Experimental study on parameters of hardening soil model for soils and its application to foundation pit engineering in Nanchang
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Affiliation:

1.Jiangxi key laboratory of infrastructure safety control in geotechnical engineering,East China Jiaotong University,Nanchang;2.NanChang Rail Transit Co,Ltd,Nanchang;3.Zhejiang Hanghai Intercity Railway Co Ltd,Hangzhou

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    摘要:

    基坑开挖数值分析的关键在于土体本构的选择和合理计算参数的选取,硬化模型(HS模型)是应用较为广泛的模型之一。首先,通过采用GDS空心扭剪试验仪(SS-HCA)和常规固结仪完成大量的室内试验,获取了南昌地区软土层的硬化本构模型(HS模型)参数,对各层土参数中模量之间的比例关系进行了探讨,并且将试验得到的结果与国内外文献的相关结果作了比较和总结。随后,运用PLAXIS有限元数值计算软件,对南昌某地下室深基坑工程进行了数值模拟,土体本构模型采用程序内置的HS模型。结果表明,围护桩深层水平位移的实测数据与数值计算结果基本吻合,验证了本文获取HS模型参数及方法适用于南昌地区基坑开挖的数值分析,具有工程参考和应用价值。

    Abstract:

    The significance of numerical analysis of foundation pit excavation lies in the selection of soil constitution and reasonable calculation parameters and hardening model is one of soil constitutive models that are used widely. First of all, the SS-HCA GDS system and oedometer apparatus are used to complete a large number of laboratory tests, which are obtained the prime parameters of hardening model(HS) model in Nanchang and established the relationship among the modulus. The experimental results are compared with those of domestic and foreign literatures. Then, the PLAXIS finite element numerical calculation software is used to conduct numerical simulation of a deep foundation pit project in a basement in Nanchang. The soil constitution adopted the programmed HS model. The results show that the calculated value of horizontal displacement of retaining pile is in good agreement with the measured value. The HS model and the determination method for parameters are proved to be applicable in numerical simulation of excavation engineering in Nanchang area. It is of reference and application value to similar engineering.

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历史
  • 收稿日期:2020-08-04
  • 最后修改日期:2020-10-30
  • 录用日期:2020-11-23
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