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2017 | 24 | Special Issue S3 |

Tytuł artykułu

Numerical analysis of soil settlement prediction and its application in large-scale marine reclamation artificial island project

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
In an artificial island construction project based on the large-scale marine reclamation land, the soil settlement is a key to affect the late safe operation of the whole field. To analyze the factors of the soil settlement in a marine reclamation project, the SEM method in the soil micro-structural analysis method is used to test and study six soil samples such as the representative silt, mucky silty clay, silty clay and clay in the area. The structural characteristics that affect the soil settlement are obtained by observing the SEM charts at different depths. By combining numerical calculation method of Terzaghi’s one-dimensional and Biot’s two-dimensional consolidation theory, the one-dimensional and two-dimensional creep models are established and the numerical calculation results of two consolidation theories are compared in order to predict the maximum settlement of the soils 100 years after completion. The analysis results indicate that the micro-structural characteristics are the essential factor to affect the settlement in this area. Based on numerical analysis of one-dimensional and two-dimensional settlement, the settlement law and trend obtained by two numerical analysis method is similar. The analysis of this paper can provide reference and guidance to the project related to the marine reclamation land

Słowa kluczowe

Wydawca

-

Rocznik

Tom

24

Opis fizyczny

p.4-11,fig.,ref.

Twórcy

autor
  • Civil Engineering Technology Research and Development Center, Dalian University, Dalian 116622, China
autor
  • Civil Engineering Technology Research and Development Center, Dalian University, Dalian, China
autor
  • Civil Engineering Technology Research and Development Center, Dalian University, Dalian, China

Bibliografia

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Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-34ca4272-6b11-4aae-b90d-ecd2c87af9fa
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