| Title |
Assessment of Liquefaction Potential Using Correlation between Shear Wave Velocity and Normalized LPI on Urban Areas of Seoul and Gyeongju |
| Authors |
송영우(Song, Young Woo) ; 정충기(Chung, Choong Ki) ; 박가현(Park, Ka Hyun) ; 김민기(Kim, Min Gi) |
| DOI |
https://doi.org/10.12652/Ksce.2018.38.2.0357 |
| Keywords |
액상화;액상화 가능 지수;상관관계;지진 Liquefaction;Liquefaction potential index (LPI);Correlation;Earthquake |
| Abstract |
Recent earthquakes in Gyeongju and Pohang have raised interest in liquefaction in South Korea. Liquefaction, which is a phenomenon that excessive pore pressure is generated and the shear strength of soil is decreased by repeated loads such as earthquakes, causes severe problems such as ground subsidence and overturning of structures. Therefore, it is necessary to identify and prepare for the possibility of liquefaction in advance. In general, the possibility of liquefaction is quantitatively assessed using the Liquefaction Potential Index (LPI), but it takes a lot of time and effort for performing site response analysis which is essential for the liquefaction evaluation. In this study, a simple method to evaluate the liquefaction potential without executing the site response analysis in a downtown area with a lot of borehole data was proposed. In this simple method, the correlation between the average shear wave velocity of the target location ground and the LPI divided by thickness of liquefiable layer was established. And the applicable correlation equation for various rock outcrop accelerations were derived. Using the 104 boreholes information in Seoul, the correlation equation between LPI and the shear wave velocity (ground water level: 0m, 1m, 2m, 3m) is obtained and the possibility of liquefaction occurrence in Seoul and Gyeongju is evaluated. The applicability of the proposed simple method was verified by comparing the LPI values calculated from the correlation equation and the LPI values derived using the existing site response analysis. Finally, the distribution map of LPI calculated from the correlation was drawn using Kriging, a geostatistical technique. |