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Settlement Prediction for Staged Filling Construction Using SPSFC Method

SPSFC법을 이용한 단계성토 시 침하량 예측

  • Received : 2014.09.12
  • Accepted : 2014.11.02
  • Published : 2014.12.01

Abstract

Settlement prediction has been conducted using Hyperbolic, Hoshino, and Monden methods, etc in the fields. These methods are only able to predict settlement after finishing the final filling stage. A new method is proposed to make up for such a weak point. This method was named as SPSFC (Settlement Prediction for Staged Filling Construction) method, which can be able to predict the settlement both the final filling stage and the staged filling from the initial filling stage in soft ground. To verify the applicability of the SPSFC method, firstly. The settlement predicted by the existed methods are compared with that obtained by the SPSFC method. The comparison results indicate the SPSFC has enough reliability to use for prediction of settlement. Secondly. by analyzing the settlement data measured during the initial filling stage, the soil parameters which need to predict the settlement are obtained by the SPSFC method. Then using the obtained soil parameters the time-settlement curve is predicted and compared. The predicted settlement is well matched with the measured one. From the study, the SPSFC method can be possible to predict settlement during the staged filling with only the initial settlement data.

현장에서 널리 활용하고 있는 침하예측기법으로는 Hyperbolic법, Hoshino법, Monden법 등이 있다. 이들 기존 침하예측법은 최종침하량 예측이 최종 성토단계가 완료된 이후 가능하다는 단점을 가지고 있다. 본 연구에서는 이와 같은 기존 예측법의 단점을 보완할 수 있는 새로운 침하량 예측법(SPSFC: Settlement Prediction for Staged Filling Construction)을 제안하였다. 이 방법은 연약지반에서 성토 완료 후뿐만 아니라, 초기 성토단계에서 단계성토별 시간-침하곡선을 예측할 수 있다. SPSFC법을 검증하기 위해 연약지반 개량을 위한 배수공법이 적용된 낙동강 하구 지역 두 개 현장에서 계측된 자료를 이용하여 기존 예측기법과 함께 SPSFC법으로 장래침하량을 예측하였다. 비교 결과, SPSFC법으로 예측된 침하량이 기존 예측법과 비교해서 신뢰성이 있음을 확인하였다. 또한 SPSFC법으로 초기 성토 단계에서 침하계측자료를 분석하여 예측에 필요한 지반상수를 구하고 이것을 이용하여 나머지 단계 성토 시 발생할 시간-침하량 곡선을 도시하였다. SPSFC법으로 예측된 침하량이 계측치와 잘 일치하는 것으로 나타나 SPSFC법으로 초기 성토단계의 침하계측 값만을 가지고 장래 침하량 예측이 가능함을 확인하였다.

Keywords

References

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