Predicting seismic liquefaction potential of sands by optimum seeking method

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The feasibility of using the optimum seeking method to assess the seismic liquefaction potential of sands has been investigated. Optimization theory is a very important branch of applied mathematics and has a wide application in the practical world. Using the available field sand liquefaction data, the influence of various factors is quantified using the optimum seeking method. The factors considered are: the earthquake magnitude M, the distance of the site from the source of the earthquake L, the depth of the water table Dw, the depth of the sand deposit Ds, and the standard penetration test (SPT) blow count N. The most important factors have been identified as the earthquake magnitude and the SPT blow count. Prediction results show that the proposed method is effective and feasible. Since neither normalization of the SPT blow count nor calculation of the seismic shear-stress ratio are required, the proposed method is simpler and more direct than the conventional methods of evaluating liquefaction potential.

Original languageEnglish (US)
Pages (from-to)219-226
Number of pages8
JournalSoil Dynamics and Earthquake Engineering
Volume17
Issue number4
StatePublished - Jun 1998
Externally publishedYes

Fingerprint

Liquefaction
liquefaction
Earthquakes
Sand
penetration test
sand
earthquakes
earthquake magnitude
Shear stress
Deposits
methodology
testing
mathematics
shear stress
water table
method
Water
earthquake
prediction

Keywords

  • Case history
  • Earthquake
  • Liquefaction
  • Optimum seeking method
  • Sand
  • Standard penetration test

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Civil and Structural Engineering

Cite this

Predicting seismic liquefaction potential of sands by optimum seeking method. / Zhang, Lianyang.

In: Soil Dynamics and Earthquake Engineering, Vol. 17, No. 4, 06.1998, p. 219-226.

Research output: Contribution to journalArticle

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