Chinese code methods for liquefaction potential assessment based on standard penetration test: An extension

https://doi.org/10.1016/j.soildyn.2021.106697Get rights and content

Highlights

  • The depth consistency assumption embedded in the Chinese code methods is assessed.

  • A new model is developed to overcome the limitations of the Chinese code methods.

  • The suggested method can be used for liquefaction assessment internationally.

  • The performance of the suggested method is compared with four representative methods.

  • The suggested method provides a useful alternative for liquefaction assessment.

Abstract

In China, the required blow count is used to represent the effect of seismic loading, which can provide engineers an intuitive feeling about how much effort is needed to improve the soil if its liquefaction resistance is not adequate. A fundamental assumption in the Chinese seismic design code methods is depth consistency, i.e., the required blow count is a non-decreasing function of the depth. Nevertheless, the methods described in the Chinese seismic design codes are subjected to several limitations, and they are mainly used within China. In this paper, the validity of the depth consistency assumption is discussed, and a new method is developed based on the concept of depth consistency that can overcome the shortcomings of the methods described in the Chinese seismic design codes and hence can be used internationally. For the Cetin et al. [1] database and Chi-Chi earthquake database, it is shown that the method suggested in this paper is more accurate than the method described in the current Chinese seismic design code. Also, it can perform as well as and, in some cases, even outperform representative SPT-based empirical methods built within the cyclic stress ratio (CSR) framework. An illustrative example is presented to illustrate the application of the suggested method.

Introduction

Earthquake-induced liquefaction in saturated sand deposits may contribute to ground failures including sand boiling, foundation settlements, and lateral spreading, etc., which can cause serious damage to infrastructure and lifelines [2,3]. In practice, empirical methods based on in-situ tests such as the standard penetration test (SPT) [[4], [5], [6], [7], [8]], the cone penetration test (CPT) [[9], [10], [11], [12], [13]], and the shear-wave velocity (Vs) [[14], [15], [16]] have been widely used to assess the liquefaction potential of soils.

In China, the SPT-based method is most widely used. The SPT-based method for liquefaction assessment was initially established in the Chinese seismic design code in 1974 [17] based on the review of case histories collected from several earthquakes that occurred in China with reference to pioneering studies by Seed and Idriss [18], and has been revised several times in different versions of the seismic design codes considering the case histories from the 1975 Haicheng earthquake and 1976 Tangshan earthquake [[19], [20], [21]]. In this study, these methods are collectively called the Chinese code methods as they are specified in different versions of the Chinese seismic design codes, and are widely used in China. In the Chinese code methods, the seismic loading is represented by the required uncorrected blow count (Nreq), which is different from that in the empirical methods built based on the cyclic stress ratio (CSR) as explored by Seed and his colleagues [6,18]. For example, in the method specified in the current Chinese seismic design code [20], which is referred to hereafter as MOHURD2016, Nreq is calculated as follows:Nreq=N0β[ln(0.6ds+1.5)0.1dw]3ρc(ds20 m)β=0.25M0.89where ds is the depth of soil being assessed in meters; dw is the depth of groundwater table below ground surface in meters; ρc is the clay content (particle size smaller than 0.005 mm) in percentage, which should be set to 3 if it is less than 3 or the soil type is sandy soil; β is the adjustment factor considering the influence of earthquake magnitude; M is the earthquake magnitude without specifying the type of magnitude scale, while moment magnitude (Mw) is preferred; N0 is the reference SPT blow count for the case of M = 7.5, ds = 3 m and dw = 2 m and probability of liquefaction (PL) = 0.32, and its value is determined according to the horizontal peak ground acceleration amax (g) as shown in Table 1, where g is the acceleration of gravity. In the Chinese code methods, the uncorrected SPT blow count (N) is adopted to represent the liquefaction resistance of soils. The soil is likely to liquefy if Nreq > N, and vice versa. The Chinese code methods provide engineers an intuitive feeling about how much effort is needed to improve the soil in terms of the SPT blow count if its liquefaction resistance is not adequate.

A fundamental assumption in the Chinese code methods is that the required blow count is a non-decreasing function of the depth. Such an assumption is called depth consistency in Yang et al. [22]. The Chinese code methods provide an alternative point of view on how empirical methods can be built based on case histories. While these methods have been used in China for many years, there could be several limitations when they are used internationally: (1) the case histories used for establishing MOHURD2016 were collected from earthquakes that occurred in China; (2) the uncorrected blow count is used for liquefaction potential assessment, which does not account for the corrections of hammer energy efficiency and effective overburden stress; (3) the calibration method of model parameters is not mathematically rigorous; and (4) it is difficult to plot all the case histories which are associated with different values of Mw, amax and dw in the 2-D space of N - ds to inspect the accuracy of MOHURD2016, because the Nreq - ds triggering curve is dependent on Mw, amax and dw. For comparison, it is convenient and common to plot all case histories in a 2-D graph to inspect the model performance visually within the cyclic stress ratio (CSR) framework.

Probably because of the above limitations, the Chinese code methods are mainly used within China. The purpose of this study is to develop a liquefaction potential assessment model following the depth consistency assumption embedded in the Chinese code methods, which can effectively overcome the above limitations of the Chinese code methods and can hence be used internationally. This paper is organized as follows. First, the depth consistency assumption is assessed through models built within the CSR framework. Then, the suggested method for liquefaction potential assessment is described. Thereafter, the prediction accuracy of the suggested method is compared with four representative methods in the literature. Finally, a procedure for presenting the suggested method in a 2-D plot with all case histories is described, and an illustrative example is used to demonstrate the suggested method for liquefaction potential assessment.

Section snippets

Assessment of the depth consistency assumption

Fig. 1 shows the relationships between Nreq and ds recommended in various versions of the Chinese seismic design codes for the case of Mw = 7.5, amax = 0.2 g, dw = 2 m and ρc = 3%. As can be seen from this figure, Nreq is a monotonically non-decreasing function of ds in all the Chinese code methods. The underlying assumption is that the required resistance to soil liquefaction as measured by SPT blow count is a non-decreasing function of the depth, which is called depth consistency in Yang et

Construction of the new model

Post-earthquake investigations showed that soils with a certain value of (N1)60cs (for example, 30) are too dense to liquefy [4,27]. Thus, we assume that [(N1)60cs]req has an upper limit, i.e., if (N1)60cs of soil is greater than the upper limit of [(N1)60cs]req, it will not liquefy. Motivated by Eq. (1), a series of functional forms including linear, logarithmic, hyperbolic, power-law, and inverse exponential function have been assessed based on the depth consistency assumption and the upper

Calibration database

In this study, the database compiled by Cetin et al. [1] (hereafter CEA2018 database), including 113 liquefied cases, 95 non-liquefied cases and 2 marginal liquefied cases collected from 24 earthquakes worldwide, will be used to calibrate the suggested method. The 2 marginal liquefied cases are treated as liquefied cases [32]. In the process of model calibration, it is important that all the case histories in the database are processed according to the same criterion. In the method suggested in

Re-evaluation of the CEA2018 database

In this section, the CEA2018 database will be analyzed using the method developed in this paper as well as four other representative methods (i.e., MOHURD2016, YEA2001, BI2012 and CEA2018). When different methods are used for liquefaction evaluation, the cases in the CEA2018 database are reprocessed according to the correction details of the corresponding method. While applying the MOHURD2016, the clay content (ρc) is needed. As the clay content is not available in the CEA2018 database, it is

Two-dimension plot of the suggested model

In the CSR framework, the developed model is often presented in a 2-D plot together with all the case histories, which can provide an intuitive feeling about the goodness-of-fit of the model to the case histories. As shown in Fig. 5, the location of the triggering curve developed in this study is dependent on Mw, amax, and dw. As the values of these parameters may vary from one case to another, it is difficult to plot the model and all the case histories in the same plot. This is indeed a major

Recommended use of the suggested method

The method suggested in this paper can be used in three different manners. Firstly, Eq. (13) can be used to assess the liquefaction probability of the soil. Then, by comparing the liquefaction probability with the target failure probability, the liquefaction potential of the soil can be assessed. This will provide a probabilistic implementation of the suggested method. Secondly, Eq. (14) can be used to determine the value of [(N1)60cs]req for a given level of liquefaction probability, and the

An illustrative example

In this section, an illustrative example is used to demonstrate the application of the suggested method. As an example, a borehole designated as NT-BH-4 in the post-earthquake investigation database compiled by Dr. C. H. Juang for the 1999 Chi-Chi earthquake is investigated [45]. The soil profile at this borehole is shown in Fig. 7(a). As can be seen from this figure, the ground at this borehole consists of a top layer of backfill underlain by sand and clay. During the post-earthquake

Summary and conclusions

The research work and findings from this paper can be summarized as follows.

  • (1)

    The concept of depth consistency implied in the Chinese seismic design code methods is explained, and the validity in the space of (N1)60csds is assessed using several methods built within the cyclic stress ratio (CSR) framework. The depth consistency concept is more consistent with recent methods developed within the CSR framework.

  • (2)

    A depth-consistent SPT-based model is constructed, which is calibrated through the

Author statement

Jie Zhang: Conceptualization, Methodology, Writing - Review & Editing, Supervision.

Tianpeng Wang: Software, Formal analysis, Writing - Original Draft.

Shihao Xiao: Methodology, Validation, Writing - Original Draft.

Lei Gao: Data Curation; Investigation.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This research was substantially supported by the Natural Science Foundation of China (41672276, 51538009), the Key Innovation Team Program of MOST of China (2016RA4059), and Fundamental Research Funds for the Central Universities.

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