Reliability analysis of soil liquefaction based on standard penetration test

Jha, Sanjay Kumar; Suzuki, Kiichi

doi:10.1016/j.compgeo.2008.10.004

Cited by 57 publications

(13 citation statements)

References 18 publications

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“…However, an exact evaluation of this probability is not an easy task. Indeed, it is so tough to accurately determine the (PDFs) of random variables such as (R) and (S) (Jha and Suzuki 2009). A simplified calculation approach, the first order and second moment method, have been improved to meet this need.…”

Section: Methodology Of Reliability Probabilistic Modelmentioning

confidence: 99%

Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

Naghizadehrokni

Choobbasti

Naghizadehrokni

2018

Geoenviron Disasters

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Background: During an earthquake, significant damage can result due to instability of the soil in the area affected by internal seismic waves. Liquefaction is known as one of the major causes of ground failure due to the earthquake. Various procedures have been classified for assessing liquefaction phenomenon into two main groups, including the deterministic and probabilistic approaches. Results: Four deterministic methods and one probabilistic approach, which is a reliability procedure are considered for assessing the liquefaction potential in Babol City. The main purpose of this comprehensive research is to evaluate the liquefaction potential and to determine the validation and accuracy of the reliability approach. For this purpose, 60 boreholes including almost 600 field records in different parts of Babol City are analyzed and liquefaction and nonliquefaction areas are identified. Microzonation maps are provided by result analysis of the deterministic and probabilistic procedures. Finally, a 2D borderline, including (CSR) and (N spt ) is obtained by analyzing all data. Conclusions: The present study illustrates that the evaluation of liquefaction potential by using reliability approach is accurate and this procedure can be recognized as one of the best methods for assessing liquefaction. The map obtained utilizing a reliability approach and the borderline provided in this study, can be utilized for recognizing liquefaction and non-liquefaction areas based on different safety factor and probabilistic procedures.

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Section: Methodology Of Reliability Probabilistic Modelmentioning

confidence: 99%

Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

Naghizadehrokni

Choobbasti

Naghizadehrokni

2018

Geoenviron Disasters

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“…From the PL -β mapping functions, the probability of failure was determined. A comparative study was conducted on SPT data by different reliability methods (FOSM, Advanced FOSM, Monte Carlo Simulation (MCS) and Point Estimation Method (PEM)) by Jha et al (2008) against soil liquefaction and presented a combined method of FOSM and PEM to find out a minimum safety factor to be adopted in soil liquefaction analysis. Singnar and Sil (2018) evaluated the liquefaction potential of Guwahati city using both Deterministic and FOSM method conducted on 82 boreholes considering the Great Shillong 1897 earthquake of magnitude 8.1.…”

Section: Previous Studiesmentioning

confidence: 99%

Liquefaction potential mapping of Newtown, Kolkata, India using Deterministic and Reliability analysis

Sett

Chattopadhyay

2021

Preprint

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Liquefaction is a phenomenon where the effective stress of the soil gets reduced to zero and the soil losses its shear strength completely. Such occurrence is common during an earthquake and hence the need for evaluating the liquefaction potential of soil arises. The region of Newtown-Rajarhat is undergoing a massive industrial and residential growth and as the area has layers of sand and silt mixed with clay and organic matter, it is essential to determine its liquefaction potential. In this study, the deterministic methods proposed by Youd et al. (2001) and Boulanger and Idriss (2014) were utilized to evaluate the liquefaction potential of the region using 102 borehole data for earthquake magnitudes of 6 and 7. However it was observed that both methods gave different results for the same input parameters. The parameter uncertainties were identified and a reliability analysis was performed to represent the liquefaction potential in terms of reliability index and probability of liquefaction. The First-Order-Second-Moment (FOSM) method was utilized here and contour maps were prepared for depths of 7m and 13m for both the earthquake magnitudes. It was concluded that the study area is vulnerable to liquefaction at a depth of 13m in the regions of Newtown, Rajarhat and Sector V.

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“…Such numerical computations enable the investigation of a micro-scopic triggering condition of liquefaction; micro-scopic means smaller than the meso-scopic scale, whose dimension is of the order of experimental samples used to observe liquefaction. The dimension of the macro-scopic scale, on the other hand, is of the order of the construction site, where engineering indexes such as the Potential of Liquefaction (PL) [5][6][7] and Factor of safety against Liquefaction (FL) [8] are used.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of soil liquefaction using a finite element method based on particle discretization scheme

Chen

O-Tani

Hori

2015

Computers and Geotechnics

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Reliability analysis of soil liquefaction based on standard penetration test

Cited by 57 publications

References 18 publications

Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

Liquefaction potential mapping of Newtown, Kolkata, India using Deterministic and Reliability analysis

Stability analysis of soil liquefaction using a finite element method based on particle discretization scheme

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