SCP공법(Sand Compaction Pile Method)은 안벽구조물 하부 지반이 연약할 경우에 압밀침하 속도를 증가시키고, 침하를 감소시키며, 지지력을 증가시키기 위하여 널리 적용되어 왔다. 연약지반에 타설 된 모래말뚝과 주변 연약지반으로 구성된 SCP 개량지반 상부에 상부 캐이슨과 상치구조물이 설치됨에 따라, SCP 복합지반에서는 모래말뚝에 의한 즉시침하와 함께 주변 점토지반의 압밀침하가 복합적으로 유발하게 된다. 본 연구에서는 SCP 복합지반에 대한 기존의 탄성침하 및 압밀이론에 근거하여 침하 예측기법을 제안하였다. 제안된 침하모델의 모델정수값들의 산정하기 위하여 유전자 알고리즘에 근거한 역해석 기법을 적용하여 최적화 과정을 수행하였다. 국내 SCP 복합지반에 대한 예제해석을 수행하여 제안된 침하예측기법의 적용성을 검토하였다.
In order to accelerate the rate of consolidation settlement, to reduce settlement, and to increase bearing capacity for soft ground under quay wall, sand compaction pile method (SCP) has widely been applied. Improved ground is composite ground which is consisted of the sand pile-surrounding clayey soil. As caisson and upper structures are installed on SCP composite ground, the settlement is compositively occurred by elastic compression of sand compaction piles and also consolidation of the surrounding clay ground. In this study, the combined settlement model is proposed to predict the settlement of SCP composite ground in basis of elastic theory for sand compaction pile and consolidation theory for marine soft clay. Optimization technique was performed based on back-analysis so that real coded genetic algorithm was applied to estimate the parameters of the proposed settlement model. Case analysis was carried out for a domestic SCP composite ground to examine the applicability of the proposed prediction technique.
