Correlation between Cyclic Resistance and Shear-Wave Velocity for Providence Silts

Baxter, Christopher; Bradshaw, Aaron S.; Green, Russell A.; Wang, Jianhua

doi:10.1061/(asce)1090-0241(2008)134:1(37)

Cited by 52 publications

(29 citation statements)

References 33 publications

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“…During this process, the shear stress induced by an earthquake is first determined according to the peak ground surface acceleration (a max ). Then, the cyclic stress ratio (CSR) and the cyclic shear strength (CRR) are determined, and by comparing them the potential of liquefaction is analyzed [2][3][4][5][6][7][8][9][10][11]. Strain-based methods have also been conducted by supposing that pore water pressure grows by control of the cyclic shear strain during dynamic loads [12,13].…”

Section: Introductionmentioning

confidence: 99%

Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method

Tang

Yang

2019

Applied Sciences

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Liquefaction is one of the most destructive phenomena caused by earthquakes, and it has been studied regarding the issues of risk assessment and hazard analysis. The strain energy approach is a common method to evaluate liquefaction triggering. In this study, the response surface method (RSM) is applied as a novel way to develop six new strain energy models in order to estimate the capacity energy required for triggering liquefaction (W), based on laboratory test results collected from the literature. Three well-known design of experiments (DOEs) are used to build these models and evaluate their influence on the developed equations. Furthermore, two groups of artificial neural network (ANN) and RSM models are derived to investigate the complicated influence of fine content (FC). The first group of models is based on a database without limitation on the range of input parameters, and the second group is based on a database with FC lower than the critical value of 28%. The capability and accuracy of the six presented models are compared with four existing models in the literature by using additional new laboratory test results (i.e., 20 samples). The results indicate the superior performance of the presented RSM models and particularly the second group of the models based on a limited value of FC.

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Section: Introductionmentioning

confidence: 99%

Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method

Tang

Yang

2019

Applied Sciences

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“…This is especially true for sites underlain by soils that are difficult to penetrate or sample (Andrus & Stokoe, 2000;Kayen et al, 2013). The V s -based simplified method has attracted an increasing number of studies, and various 'boundary curves' have been relatively well established on the basis of either field data (Robertson et al, 1992;Andrus & Stokoe, 2000;Juang et al, 2001;Andrus et al, 2004;Juang et al, 2005;Kayen et al, 2013), or laboratory studies (Dobry et al, 1981;de Alba et al, 1984;Tokimatsu & Uchida, 1990;Chen et al, 2005;Wang et al, 2006;Zhou & Chen, 2007;Baxter et al, 2008;Zhou et al, 2010;Ahmadi & Paydar, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Although both V s and liquefaction resistance were reported to be similarly influenced by many of the same macroscopic factors (Andrus & Stokoe, 2000), their parametric laws may be quite different. Taking the relative density for an example, previous studies showed that it has a very strong effect on the liquefaction resistance (Seed & Idriss, 1971), while it has a weak effect on V s : This implies that liquefaction resistance may not uniquely correlate with V s for multiple soils (Baxter et al, 2008), as indicated by the weakness of the V s -based correlation reported by Liu & Mitchell (2006). More recently, Kayen et al (2013) reported that around 50 non-liquefied sites out of a global catalogue of 422 case histories were misclassified, with their data mainly located in the lower intensity zone (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…20). One possible explanation for these observations is that V s -based correlations are soil specific; however, establishing individual relations would be rather costly and time consuming (Tokimatsu & Uchida, 1990;Zhou & Chen, 2007;Baxter et al, 2008;Zhou et al, 2010;Ahmadi & Paydar, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…particle properties, fabric and coordination number) (Hardin & Richart, 1963;Tatsuoka, 1999;Yimsiri & Soga, 2000;Agnolin & Roux, 2007;Clayton, 2011). The liquefaction resistance in a soil deposit, commonly quantified by the cyclic resistance ratio (CRR), also depends on its current state (Seed & Idriss, 1971;Tokimatsu & Uchida, 1990;Chen et al, 2005;Wang et al, 2006;Baxter et al, 2008;Ahmadi & Paydar, 2014). CRR is generally estimated by performing cyclic triaxial tests on reconstituted samples following a given stress path (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Correlation between liquefaction resistance and shear wave velocity of granular soils: a micromechanical perspective

Xu¹,

LING²,

Cheng³

et al. 2015

Géotechnique

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The shear wave velocity method has become an increasingly popular means to evaluate the liquefaction potential of granular soils. Understanding the fundamental mechanism underlying existing empirical or semi-empirical relationships is important for better assessing their reliability. This paper presents a particle-scale study of the correlation between cyclic resistance ratio (CRR) and the shear wave velocity corrected for overburden stress (V s1). The discrete-element method was used to simulate a series of undrained stress-controlled cyclic triaxial tests together with shear wave velocity (V s) measurements. Discrete-element method modelling with various relative densities, confining pressures and micro-parameters was performed under various cyclic stress ratios (CSRs), and the onset of liquefaction was illustrated through both macroscopic and microscopic responses, for example, inferred excess pore-water pressure, mechanical coordination number and redundancy index. The inter-particle friction was identified as the key micro-parameter that governs the liquefaction resistance of granular soils. A micro-scale CRR-V s1 correlation considering two independent micro-parameters, inter-particle friction and particle shear modulus, was then obtained and further validated with the outcomes from three dynamic centrifuge model tests performed on silica sand no. 8. This study demonstrates that the CRR-V s1 correlation is particle specific, thus soil specific, and the particle mechanical properties should be included in the V s-based method for future liquefaction evaluation of granular soils.

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Applicability of soil‐type index for shear wave velocity‐based liquefaction assessment

Ecemis,

Monkul,

Orucu

2024

Earthq Engng Struct Dyn

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The current simplified liquefaction assessment method based on the shear‐wave velocity, Vs has uncertainties about how the fine contents change the Vs‐based liquefaction resistance. According to the simplified method, for a given Vs, the cyclic resistance ratio (CRR) increases with an increase in fine contents. However, field investigations recently revealed that for various silty sands, the correlation between CRR and Vs is soil‐type index dependent and not specific for all sand‐silt mixtures with the same fine contents. Therefore, a detailed experimental research program is performed in this study to clarify the effect of the soil‐type index on the shear wave velocity and CRR correlation. In the first part of the present study, the cyclic resistance of sand mixed with non‐plastic (NP) fines (dry weight of 0%, 5%, 15%, and 35%) was investigated using cyclic direct simple shear (CDSS) tests. Seismic cone penetration (SCPT) tests were performed inside the large‐scale box to facilitate normalized cone penetration resistance (qc1N) and shear wave velocity measurements on the soils used in the CDSS tests. A new correlation was proposed between the qc1N and normalized shear wave velocity (Vs1) using the soil‐type index Ic representing the behavior of soil. Then, CRR‐Vs1 correlation was obtained experimentally for four distinct ranges of soil‐type index. Finally, the results of this study and the proposed CRR‐Vs1 trends in other investigations were used to discuss the soil‐type dependent Vs‐based liquefaction susceptibility zones.

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Correlation between Cyclic Resistance and Shear-Wave Velocity for Providence Silts

Cited by 52 publications

References 33 publications

Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method

Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method

Correlation between liquefaction resistance and shear wave velocity of granular soils: a micromechanical perspective

Applicability of soil‐type index for shear wave velocity‐based liquefaction assessment

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