Liquefaction Potential of Sands Using the CPT

Robertson, P. K.; Campanella, Richard

doi:10.1061/(asce)0733-9410(1985)111:3(384)

Cited by 224 publications

(95 citation statements)

References 12 publications

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“…The cone penetration test ͑CPT͒ is a reliable in situ index test that has found widespread use as a tool for assessing the liquefaction resistance of potentially liquefiable soils. A number of CPT-based liquefaction triggering resistance curves have been suggested by previous researchers ͑e.g., Seed et al 1983;Olsen 1984;Ishihara 1985;Jamiolkowski et al 1985;Robertson and Campanella 1985;Franklin 1986;Seed and De Alba 1986;Shibata and Teparaska 1988;Sugawara 1989;Mitchell and Tseng 1990;Olsen and Koester 1995;Stark and Olson 1995;Rongxiang and Zhaoji 1995;Robertson and Wride 1998;Toprak et al 1999;Juang et al 2003;Idriss and Boulanger 2004͒.…”

Section: Introductionmentioning

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.

399

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: Introductionmentioning

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.

399

207

View full text Add to dashboard Cite

show abstract

“…It electrically measures the tip resistance and shaft friction as well as pore pressure by employing the loadcell and strain-gauged transducers encased in the cone tip, and provides a continuous proˆle of soil layers. The evaluation of liquefaction potential of soils has been examined by establishing the correlation between the cone tip resistance and cyclic resistance of soils, (Robertson and Campanella, 1985;Seed and De Alba, 1986;Shibata and Teparaska, 1988;and others).…”

Section: Cone Penetration Testmentioning

confidence: 99%

Evaluation of Undrained Shear Strength of Soils from Field Penetration Tests

Tsukamoto

Ishihara

Harada³

2009

Soils and Foundations

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“…It is based on the SPT test and was modified by Seed et al (1985) and Youd et al (2001). CPT has been employed for about three decades (Robertson and Campanella, 1985;Seed and DeAlba, 1986;Mitchell and Tseng, 1990;Stark and Olson, 1995;Olsen, 1997;Robertson and Wride, 1998). The pros and cons of the SPT and CPT can be traced throughout literature (Lunne et al, 1997;Youd et al, 2001;Yuan, 2003).…”

Section: Introductionmentioning

confidence: 99%

A genetic-algorithm approach for assessing the liquefaction potential of sandy soils

Şen

Akyol

2010

Nat. Hazards Earth Syst. Sci.

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Abstract. The determination of liquefaction potential is required to take into account a large number of parameters, which creates a complex nonlinear structure of the liquefaction phenomenon. The conventional methods rely on simple statistical and empirical relations or charts. However, they cannot characterise these complexities. Genetic algorithms are suited to solve these types of problems. A genetic algorithm-based model has been developed to determine the liquefaction potential by confirming Cone Penetration Test datasets derived from case studies of sandy soils. Software has been developed that uses genetic algorithms for the parameter selection and assessment of liquefaction potential. Then several estimation functions for the assessment of a Liquefaction Index have been generated from the dataset. The generated Liquefaction Index estimation functions were evaluated by assessing the training and test data. The suggested formulation estimates the liquefaction occurrence with significant accuracy. Besides, the parametric study on the liquefaction index curves shows a good relation with the physical behaviour. The total number of misestimated cases was only 7.8% for the proposed method, which is quite low when compared to another commonly used method.

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Liquefaction Potential of Sands Using the CPT

Cited by 224 publications

References 12 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

Evaluation of Undrained Shear Strength of Soils from Field Penetration Tests

A genetic-algorithm approach for assessing the liquefaction potential of sandy soils

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