• Title/Summary/Keyword: Numerical Modelling of EPS

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An Experimental Study on the Modelling for the Prediction of the Behaviour of EPS (EPS의 거동 예측 모델에 관한 실험적 연구)

  • 천병식;임해식
    • Geotechnical Engineering
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    • v.12 no.5
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    • pp.127-136
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    • 1996
  • Recently, EPS which has unit weight of only 20~30kg/m3, is used for acquiring the safety of settlement and bearing capacity, In Korea, EPS was first used in 1993 as backfill material for abutment that was constructed on soft ground in Inchon. Since then EPS has been used increasingly as backfill material. However, adequate modelling has not yet been proposed for the prediction of the behavior of EPS. Only it's design strength was proposed as the results of unconfined strength and creep test. Accordingly this paper executed triaxial compression test on EPS with various density and confining pressure. Through the analysis of test data the behavior of EPS for strainstress, tangential modulus and poisson's ratio can be expressed in functions with parameters of density and confining pressure of EPS. From these results, this paper proposed a nonliner model describing the behavior of EPS.

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A Study on the Application of Numerical Model to Predict Behaviour of EPS (EPS 거동 예측 모델의 적용성에 대한 연구)

  • Cheon, Byeong-Sik;Yu, Han-Gyu;Im, Hae-Sik
    • Geotechnical Engineering
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    • v.12 no.6
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    • pp.185-198
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    • 1996
  • EPS is increasingly used as a filling material in soft ground. The beneficial effects of the use of EPS derive from minimizing the stress increment, which, in turn, increases the bearing capacity and reduces the settlement. EPS can also be used as a backfill material for retaining walls and abutments to reduce the horizontal earth pressure. However, there is no rational application for the selection of the EPS fill which is essential to the selection of the filling configuration and the settlement calculation. In this paper, therefore, the nonlinear numerical model developed from the results of triaxial compression tests is applied to the construction of EPS and verified through the comparison between the prediction and in-situ measurements.

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