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Probabilistic evaluation of seismic liquefaction potential in field conditions A kinetic energy approach

机译:现场条件下地震液化潜力的概率评估动能方法

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摘要

Purpose - In this paper, the peak kinetic energy density (KED) of soil particles during earthquake excitation is used as an intensity measure for the evaluation of liquefaction potential under field conditions. The paper seeks to discuss this measure. Design/methodology/approach - Using centrifuge tests data, it is shown that seismic pore water pressure buildup is proportional to cumulative KED at a particular soil depth. Linear relationships are found between cumulative kinetic energy and corresponding cumulative strain energy. To consider the effect of soil amplification, several equivalent linear ground response analyses are performed and the results are used to derive an equation for depth reduction factor of peak kinetic energy density. Two separate databases of liquefaction case histories are used in order to validate the proposed model. The performance of the proposed model is compared with a number of commonly used shear stress-based liquefaction assessment methods. Finally, the logistic regression method is employed to obtain probabilistic boundary curves based on the present model. Parametric study of the proposed probabilistic model is carried out to verify its agreement with the previous methods. Findings - It has been shown that the kinetic energy model works satisfactorily in classifying liquefied and non-liquefied cases compared with the existing recommendations of shear stress-based criterion. The results of the probabilistic kinetic energy model are in good agreement with those of previous studies and show a reasonable trend with respect to the variations of fines content and effective overburden pressure. The proposed model can be as used an alternative approach for assessment of liquefaction potential. Originality/value - These findings make a sound basis for the development of a kinetic energy-based method for assessment of liquefaction potential.
机译:目的-在本文中,地震激发过程中土壤颗粒的峰值动能密度(KED)被用作评估野外条件下液化潜力的强度度量。本文试图讨论这一措施。设计/方法/方法-使用离心机测试数据,表明在特定土壤深度下,地震孔隙水压力的累积与累积KED成比例。在累积动能和相应的累积应变能之间找到线性关系。为了考虑土壤放大作用,进行了几个等效的线性地面响应分析,并使用结果得出了峰值动能密度的深度减小因子的方程式。为了验证所提出的模型,使用了两个独立的液化案例历史数据库。将该模型的性能与许多常用的基于剪应力的液化评估方法进行了比较。最后,在本模型的基础上,采用逻辑回归方法获得概率边界曲线。对所提出的概率模型进行了参数研究,以验证其与先前方法的一致性。发现-与基于剪应力准则的现有建议相比,动能模型在液化和非液化案例的分类中均能令人满意地工作。概率动能模型的结果与以前的研究结果相吻合,并且在细粉含量和有效上覆压力的变化方面显示出合理的趋势。建议的模型可以用作评估液化潜力的替代方法。原创性/价值-这些发现为开发基于动能的液化潜力评估方法奠定了坚实的基础。

著录项

  • 来源
    《Engineering Computations 》 |2011年第6期| p.675-700| 共26页
  • 作者单位

    College of Civil Engineering, Semnan University, Semnan, Iran;

    School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran;

    Laboratory of Soil Mechanics and Foundation Engineering,Department of Civil and Environmental Engineering,School of Science and Technology, Aalto University, Helsinki, Finland Infrastructure Research Group, Department of Civil Engineering,University of Strathclyde, Glasgow, UK;

    Computational Geomechanics Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    kinetic energy; liquefaction; probabilistic analysis; case history; logistic regression; earthquakes;

    机译:动能;液化;概率分析;病历;逻辑回归地震;

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