[논문]지반 보간을 위한 지반정보DB 구축 방법에 따른 액상화 평가 결과 비교

강병주; 황범식; 방태완; 조완제

doi:10.7843/kgs.2022.38.4.59

지반 보간을 위한 지반정보DB 구축 방법에 따른 액상화 평가 결과 비교
Comparison of Liquefaction Assessment Results with regard to Geotechnical Information DB Construction Method for Geostatistical Analyses 원문보기

韓國地盤工學會論文集 = Journal of the Korean geotechnical society, v.38 no.4, 2022년, pp.59 - 70

강병주 ((주)건화 지반터널부) , 황범식 (한국도로공사 도로교통연구원 안전혁신연구실) , 방태완 (단국대학교 토목환경공학과 통합과정) , 조완제 (단국대학교 토목환경공학과)

초록
AI-Helper

지진으로부터 상대적으로 안전지대라고 여겨졌던 한반도에서 2017년 규모 5.4의 강진이 포항지역에 발생함으로써 액상화 현상이 민가, 농지에서 광범위하게 나타났고 이에 액상화 현상을 예측하는 액상화 재해도 작성에 관한 연구수요가 높아지고 있다. 액상화 현상이란 느슨한 사질토에서 지진과 같은 큰 동적응력이 짧은 시간 작용할 때 과잉간극수압의 급격한 증가로 지반의 강도가 완전히 상실되는 현상을 의미한다. 액상화는 액상화 가능지수(liquefaction potential index, LPI)를 통해 평가할 수 있지만 LPI는 단일 시추공 별로 산출되기 때문에 해당지역의 대표성에 대한 문제가 발생하게 된다. 이러한 대표성의 문제는 지리정보시스템(geographic information system, GIS)을 활용한 공간보간을 통해 보완될 수 있다. 따라서 본 연구에서는 지구통계학적인 공간보간 기법 중 하나인 크리깅(kriging)을 활용하여 지반정보의 대표성 문제를 해결하고자 하였으며 액상화 평가를 위한 지반정보DB를 구축하고자 하였다. 또한 구축된 지반정보DB를 활용하여 재현주기 별 액상화 재해도를 작성하였으며 액상화 재해도 결과는 교차검증을 통하여 정밀도 검증을 수행하였다.

Abstract ▼ AI-Helper

There is a growing interest in evaluating earthquake damage and determining disaster prevention measures due to the magnitude 5.8 earthquake in Pohang, Korea. Since the liquefaction phenomena occurred extensively in the residential area as a result of the earthquake, there was a demand for research on liquefaction phenomenon evaluation and liquefaction disaster prediction. Liquefaction is defined as a phenomenon where the strength of the ground is completely lost due to a sudden increase in excess pore water pressure caused due to large dynamic stress, such as an earthquake, acting on loose sand particles in a short period of time. The liquefaction potential index, which can identify the occurrence of liquefaction and predict the risk of liquefaction in a targeted area, can be used to create a liquefaction hazard map. However, since liquefaction assessment using existing field testing is predicated on a single borehole liquefaction assessment, there has been a representative issue for the whole targeted area. Spatial interpolation and geographic information systems can help to solve this issue to some extent. Therefore, in order to solve the representative problem of geotechnical information, this research uses the kriging method, one of the geostatistical spatial interpolation techniques, and constructs a geotechnical information database for liquefaction and spatial interpolation. Additionally, the liquefaction hazard map was created for each return period using the constructed geotechnical information database. Cross validation was used to confirm the accuracy of this liquefaction hazard map.

주제어

표/그림 (7)

그림 Fig. 1. Boreholes location in reclaimed land of Incheon
표 Table 1. Recommended features of SPT procedure for liquefaction evaluations (Seed et al., 1985)
그림 Fig. 2. Part of DB constructed to write a liquefaction hazard map
표 Table 2. Determination of maximum acceleration
그림 Fig. 3. Result of Liquefaction hazard map in 100 years cycle
그림 Fig. 4. Result of Liquefaction hazard map in 1000 years cycle
그림 Fig. 5. Correlation between measured value and predicted value

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