Inverse filtering procedure to correct cone penetration data for thin-layer and transition effects

Inverse filtering procedure to correct cone penetration data for thin-layer and transition effects
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DOI:
10.1201/9780429505980-2
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发表时间:
2018-06
期刊:
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影响因子:
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通讯作者:
R. Boulanger;J. DeJong
R. Boulanger;J. DeJong
中科院分区:
其他
文献类型:
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作者:
R. Boulanger;J. DeJong

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本文提出了一种反滤波程序,用于从土层间的静力触探试验数据中估算“真实”的静力触探尖端阻力和套管摩擦力值。在分层土壤剖面锥贯入的先前研究的结果被用来开发和评估的逆滤波程序。逆滤波过程有三个主要组成部分:(1)在对土壤阻力相对于深度的真实分布进行采样时,圆锥贯入阻力计如何充当低通空间滤波器的模型,(2)用于在给定圆锥贯入滤波器模型的情况下从测量的分布迭代地确定真实圆锥贯入阻力分布的估计的求解过程,以及(3)用于识别急剧转变界面并校正这些界面处的数据的过程。本文提出的逆滤波过程的细节是针对液化问题开发的,但是概念和框架应该适用于其他问题。逆滤波程序的应用实例,提出了四个CPT探测说明了一系列的土壤剖面特性。建议的程序提供了一个客观的,可重复的,和自动化的手段校正锥贯入试验数据的薄层和过渡区的影响。但在某些情况下,所产生的“薄层”和“过渡区”效应可能足够重要,需要进行评估。例如,薄层效应对于液化方法可能很重要,这取决于分析程序、土壤条件和地震荷载(如Boulanger等人2016年所讨论的)。如果液化触发的预测间隔主要与许多薄层或过渡区相关,则使用简化的一维(1D)液化脆弱性指数(LVI)可能会高估液化诱导变形的可能性。在其他情况下,如果薄层和过渡区是液化触发预测间隔的一小部分,则1D-LVI的结果可能对薄层和过渡区不敏感。对于具有夹层土壤的场地的非线性动力分析(NDA),分配给可膨胀夹层的代表性属性在某些情况下同样可以受益于薄层和过渡区效应,而在其他情况下相对不受影响。更常见的是,薄层和过渡区效应只是几个因素中的一个,这些因素可能会导致预测行为中保守性或偏差的积累(例如,Boulanger et al. 2016,Munter et al. 2017,考克斯et al. 2017)。本文提出了一个反滤波过程,用于估算“真实”的锥贯入端阻力和套筒摩擦值
This paper presents an inverse filtering procedure for developing estimates of “true” cone penetration tip resistance and sleeve friction values from measured cone penetration test data in interlayered soil profiles. Results of prior studies of cone penetration in layered soil profiles are utilized for developing and evaluating the inverse filtering procedure. The inverse filtering procedure has three primary components: (1) a model for how the cone penetrometer acts as a low-pass spatial filter in sampling the true distribution of soil resistance versus depth, (2) a solution procedure for iteratively determining an estimate of the true cone penetration resistance profile from the measured profile given the cone penetration filter model, and (3) a procedure for identifying sharp transition interfaces and correcting the data at those interfaces. The details of the inverse filtering procedure presented herein were developed with a focus on liquefaction problems, but the concepts and framework should be applicable to other problems. Example applications of the inverse filtering procedure are presented for four CPT soundings illustrative of a range of soil profile characteristics. The proposed procedure provides an objective, repeatable, and automatable means for correcting cone penetration test data for thin-layer and transition zone effects. but there are certain situations where the resulting “thin layer” and “transition zone” effects can be sufficiently important to warrant evaluating. For example, thin layer effects can be important for liquefaction methodologies, depending on the analysis procedures, soil conditions, and seismic loading (as discussed in Boulanger et al. 2016). The use of simplified one-dimensional (1D) liquefaction vulnerability indices (LVIs) can overestimate the potential for liquefaction induced deformations if the predicted intervals of liquefaction triggering are primarily associated with numerous thin layers or transition zones. In other cases, the results of 1D-LVI’s may be insensitive to thin layer and transition zones if those zones are a small portion of the predicted intervals of liquefaction triggering. For nonlinear dynamic analyses (NDAs) of sites with interbedded soils, the representative properties assigned to the liquefiable interlayers can similarly benefit from accounting for thin layer and transition zone effects in some situations and be relatively unaffected in others. More commonly, thin layer and transition zone effects are just one factor among several that can contribute to an accumulation of conservatism or bias in predicted behaviors (e.g., Boulanger et al. 2016, Munter et al. 2017, Cox et al. 2017). This paper presents an inverse filtering procedure for developing estimates of “true” cone penetration tip resistance and sleeve friction values