Probabilistic evaluation of spatial distribution of secondary compression by using kriging estimates of geo-layers

Woojin Lee, Donghee Kim, Youngho Chae, Dongwoo Ryu

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper presents a procedure for evaluating the spatial uncertainty in the secondary compression (ss) using a probabilistic method. In order to evaluate the spatial distribution of ss, the spatial maps of three geo-layers (the thickness and depth of the consolidating layer, the bottom elevation of the reclaimed sandfill) are estimated by using kriging techniques. For all three geo-layers considered in this study, the ordinary kriging is found to give more reliable estimates than the kriging with a trend and simple kriging. It is observed that the coefficients of variation (COVs) of Cα/Cc and Cc/(1+e0) have similar influences on the COV of ss. It is also shown that the COV of cv has less effect on the COV of ss than the COVs of Cα/Cc and Cc/(1+e0) although the COV of cv is larger than that of Cα/Cc and Cc/(1+e0). The COV of ss evaluated by considering all the COVs of soil properties is 0.420, which is 1.4-2.7 times larger than that determined by considering the COV of an individual soil property separately. It is observed that the area exceeding a design criterion increases as the COV of Cα/(1+e0) increases and the probabilistic design criterion (α) decreases. For Songdo New City, the area ratio decreases from 0.47 for α value of 0.05 to 0.04 for α value of 0.45. The design procedure presented in this paper could be used in the decision making process for a geotechnical engineering design.

Original languageEnglish
Pages (from-to)239-248
Number of pages10
JournalEngineering Geology
Volume122
Issue number3-4
DOIs
Publication statusPublished - 2011 Oct 10

Fingerprint

kriging
Spatial distribution
compression
spatial distribution
soil property
Soils
Geotechnical engineering
geotechnical engineering
Decision making
decision making
evaluation

Keywords

  • Coefficient of variation
  • Kriging
  • Probabilistic method
  • Secondary compression

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

Probabilistic evaluation of spatial distribution of secondary compression by using kriging estimates of geo-layers. / Lee, Woojin; Kim, Donghee; Chae, Youngho; Ryu, Dongwoo.

In: Engineering Geology, Vol. 122, No. 3-4, 10.10.2011, p. 239-248.

Research output: Contribution to journalArticle

Lee, Woojin ; Kim, Donghee ; Chae, Youngho ; Ryu, Dongwoo. / Probabilistic evaluation of spatial distribution of secondary compression by using kriging estimates of geo-layers. In: Engineering Geology. 2011 ; Vol. 122, No. 3-4. pp. 239-248.
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