Liquefaction of Silts and Silt-Clay Mixtures

Guo, Tianqiang; Prakash, Shamsher

doi:10.1061/(asce)1090-0241(1999)125:8(706)

Cited by 102 publications

(29 citation statements)

References 2 publications

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“…In addition to the CPT measurements, it was necessary to use soil texture information from SPT samples for screening. The criteria for screening these cases were based on research of fines content and plasticity in relation to liquefaction susceptibility ͑Yamamuro and Lade 1998; Guo and Prakash 1999;Youd and Gilstrap 1999;Andrews and Martin 2000;Perlea 2000;Andrianopoulos et al 2001;Polito 2001;Boulanger and Idriss 2004;Bray et al 2004͒. Zone A, shown graphically in Fig.…”

Section: Screeningmentioning

confidence: 99%

CPT-Based Probabilistic and Deterministic Assessment of In Situ Seismic Soil Liquefaction Potential

Moss

Seed

Kayen

et al. 2006

J. Geotech. Geoenviron. Eng.

398

207

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This paper presents a complete methodology for both probabilistic and deterministic assessment of seismic soil liquefaction triggering potential based on the cone penetration test ͑CPT͒. A comprehensive worldwide set of CPT-based liquefaction field case histories were compiled and back analyzed, and the data then used to develop probabilistic triggering correlations. Issues investigated in this study include improved normalization of CPT resistance measurements for the influence of effective overburden stress, and adjustment to CPT tip resistance for the potential influence of "thin" liquefiable layers. The effects of soil type and soil character ͑i.e., "fines" adjustment͒ for the new correlations are based on a combination of CPT tip and sleeve resistance. To quantify probability for performancebased engineering applications, Bayesian "regression" methods were used, and the uncertainties of all variables comprising both the seismic demand and the liquefaction resistance were estimated and included in the analysis. The resulting correlations were developed using a Bayesian framework and are presented in both probabilistic and deterministic formats. The results are compared to previous probabilistic and deterministic correlations.

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Section: Screeningmentioning

confidence: 99%

CPT-Based Probabilistic and Deterministic Assessment of In Situ Seismic Soil Liquefaction Potential

Moss

Seed

Kayen

et al. 2006

J. Geotech. Geoenviron. Eng.

398

207

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show abstract

“…Therefore, Atterberg limits and clay percentage by weight had been used for screening of liquefaction vulnerability (Andrews and Martin, 2000). Guo and Prakash (1999) reviewed test data on undisturbed and reconstituted silt-clay specimens and concluded that clayeyˆnes in low plasticity mixtures increase the rate of pore pressure generation due to reduction in hydraulic conductivity, resulting in decrements of the cyclic resistance. However, the cyclic resistance increases for high plasticity mixtures because of the imparting of the soil cohesion and the minimum liquefaction resistance occurred at PI＝4.…”

Section: Introductionmentioning

confidence: 99%

Effects of Clay Content on Liquefaction Characteristics of Gap-Graded Clayey Sands

Chang

Hong

2008

Soils and Foundations

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“…The criteria for screening these cases were based on research of fines content and plasticity in relation to liquefaction susceptibility (Andrews & Martin, 2000;Andrianopoulos et al, 2001;Guo & Prakash, 1999;Perlea, 2000;Polito, 2001;Yamamuro & Lade, 1998, Youd & Gilstrap, 1999. Zone A, shown graphically in Figure 2, was the envelope of potentially liquefiable materials used in this study.…”

Section: Screeningmentioning

confidence: 99%

Probabilistic Liquefaction Triggering based on the Cone Penetration Test

Moss

Seed

Kayen

et al. 2005

Earthquake Engineering and Soil Dynamics

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Performance-based earthquake engineering requires a probabilistic treatment of potential failure modes in order to accurately quantify the overall stability of the system. This paper is a summary of the application portions of the probabilistic liquefaction triggering correlations proposed recently proposed by Moss and co-workers. To enable probabilistic treatment of liquefaction triggering, the variables comprising the seismic load and the liquefaction resistance were treated as inherently uncertain. Supporting data from an extensive Cone Penetration Test (CPT)-based liquefaction case history database were used to develop a probabilistic correlation. The methods used to measure the uncertainty of the load and resistance variables, how the interactions of these variables were treated using Bayesian updating, and how reliability analysis was applied to produce curves of equal probability of liquefaction are presented. The normalization for effective overburden stress, the magnitude correlated duration weighting factor, and the non-linear shear mass participation factor used are also discussed.

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Liquefaction of Silts and Silt-Clay Mixtures

Cited by 102 publications

References 2 publications

CPT-Based Probabilistic and Deterministic Assessment of In Situ Seismic Soil Liquefaction Potential

CPT-Based Probabilistic and Deterministic Assessment of In Situ Seismic Soil Liquefaction Potential

Effects of Clay Content on Liquefaction Characteristics of Gap-Graded Clayey Sands

Probabilistic Liquefaction Triggering based on the Cone Penetration Test

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