Probabilistic evaluation of primary consolidation settlement of Songdo New City by using kriged estimates of geologic profiles

Donghee Kim, Dongwoo Ryu, Changho Lee, Woojin Lee

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The uncertainty in the spatial distributions of consolidation settlement (s c) and time (t p) for Songdo New City is evaluated by using a probabilistic procedure. Ordinary kriging and three theoretical semivariogram models are used to estimate the spatial distributions of geo-layers which affect s c and t p in this study. The spatial map of mean (μ) and standard deviation (σ) for s c and t p are determined by using a first-order second moment method based on the evaluated statistics and probability density functions (PDFs) of soil properties. It is shown that the coefficients of variation (COVs) of the compression ratio [C c/(1 + e 0)] and the coefficient of consolidation (c v) are the most influential factors on the uncertainties of s c and t p, respectively. The μ and σ of the s c and t p, as well as the probability that s c exceeds 100 cm [P(s c > 100 cm)] and the probability that t p exceeds 36 months [P(t p > 36 months)] in Sect. 1, are observed to be larger than those of other sections because the thickness of the consolidating layer in Sect. 1 is the largest in the entire study area. The area requiring additional fill after the consolidation appears to increase as the COV of C c/(1 + e 0) increases and as the probabilistic design criterion (α) decreases. It is also shown that the area requiring the prefabricated vertical drains installation increases as the COV of c v increases and as the α decreases. The design procedure presented in this paper could be used in the decision making process for the design of geotechnical structures at coastal reclamation area.

Original languageEnglish
Pages (from-to)323-334
Number of pages12
JournalActa Geotechnica
Volume8
Issue number3
DOIs
Publication statusPublished - 2013 Jun 1

Fingerprint

Consolidation
consolidation
Spatial distribution
spatial distribution
Reclamation
probability density function
Method of moments
kriging
Probability density function
drain
soil property
fill
Decision making
compression
decision making
Statistics
Soils
evaluation
city
Uncertainty

Keywords

  • Consolidation settlement and time
  • Ordinary kriging
  • Probabilistic method

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Earth and Planetary Sciences (miscellaneous)

Cite this

Probabilistic evaluation of primary consolidation settlement of Songdo New City by using kriged estimates of geologic profiles. / Kim, Donghee; Ryu, Dongwoo; Lee, Changho; Lee, Woojin.

In: Acta Geotechnica, Vol. 8, No. 3, 01.06.2013, p. 323-334.

Research output: Contribution to journalArticle

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