All Issue

2023 Vol.33, Issue 2

Research Article

Relative Settlement Analysis of Soft Ground

연약지반의 상대적 침하 거동 분석

Young-Jun Kwack1
,
Heui-Soo Han2*
곽 영준1
,
한 희수2*
1Ph.D. Student, Department of Civil Engineering, Kumoh Institute of Technology
2Professor, Department of Civil Engineering, Kumoh Institute of Technology
1금오공과대학교 토목공학과 박사과정
2금오공과대학교 토목공학과 교수
*Corresponding Author
30 June 2023. pp. 229-240
PDF XML Citation
Abstract

Instruments are installed in soft ground improvement projects to manage economic and safe construction. When analyzing data, the amount of settlement data over time can be used to understand the overall ground settlement behavior, but it is difficult to analyze the interrelatedness between measurement points. Therefore, to analyze the relative compressive settlement behavior between measurement points, the settlement amount and velocity were processed and defined as the mean settlement difference index (ASi,j) and the slope difference index (SDIi,j). Plotted in the mean settlement difference index - slope difference index (ASi,j-SDIi,j) coordinate system. As a result of the analysis of the relative compaction subsidence behavior between the measuring points, the relationship between the measuring points in the average subsidence difference index - slope difference index coordinate system moved to area 1 as the compaction was completed. By continuously plotting the movement path of the observation point in the corresponding coordinate system, the relative settlement behavior between the measurement points was analyzed, and it was possible to check whether the settlement behavior of the two measurement points was stable or unstable depending on the direction of the path.

Keywords
soft ground
surface settlement gauge
average settlement difference index
slope difference index
relative settlement behavior

연약지반 개량공사 시 계측기를 설치하여 경제적이고 안전한 시공이 이루어지도록 관리한다. 데이터 분석 시 시간에 따른 침하량 데이터를 활용하여 전체적인 지반 침하 거동을 파악할 수 있지만, 계측지점 간 상호관련성을 분석하기에는 어려움이 있다. 따라서 계측지점 간의 상대적인 압밀침하 거동을 분석하기 위하여, 침하량과 속도를 가공하여 평균 침하량 차이 지수와 기울기 차이 지수로 정의한 후, 평균 침하량 차이 지수 - 기울기 차이 지수(ASi,j-SDIi,j) 좌표계에 도시하였다. 계측지점 간 상대적인 압밀침하 거동 분석결과 평균 침하량 차이 지수 - 기울기 차이 지수 좌표계에 나타낸 계측지점 간의 관계가 압밀이 완료됨에 따라 영역 1로 이동하였다. 관측점의 이동 경로를 해당 좌표계에 연속적으로 나타냄으로써 계측지점 간의 상대적인 압밀침하 거동관계를 분석하였으며, 이동경로 방향에 따라 두 계측지점의 압밀침하 거동관계가 안정한 상태인지 불안정한 상태인지 확인할 수 있었다.

키워드
연약지반
지표침하판
평균 침하량 차이 지수
기울기 차이 지수
상대적 침하 거동
References
1
Arulrajah, A., Nikraz, H., Bo, M.W., 2003, Factors affecting field settlement assessment and back-analysis by the Asaoka and hyperbolic methods, Australian Geomechanics, 38(2), 29-37.
2
Bae, H.S., Cho, D.H., Seok, K.H., Kim, B.S., Choi, K.R., Lee, J.E., Noh, S.W., Lee, S.C., Son, Y.H., 2004, Data mining, Kyowoo, 315p.
3
Bjerrum, L., 1967, Engineering geology of Norwegian normally-consolidated marine clays as related to settlements of buildings, Géotechnique, 17(2), 83-118. 10.1680/geot.1967.17.2.83
4
Jang, J.G., Son, S.W., Hong, S.W., 2021, A study on the analysis of monitoring settlement considering the history of the groundwater level in the dredged landfill area affected by algae, Journal of the Korean Geotechnical Society, 37(7), 13-23 (in Korean with English abstract).
5
Kang, S.Y., 2019, A comparative study on the prediction of the final settlement using preexistence method and ARIMA method, Journal of the Korean Geo-Environmental Society, 20(10), 29-38 (in Korean with English abstract).
6
Kang, Y.K., Jang, W.I., 2010, A study on subsidence of soft ground using artificial neural network, Journal of Advanced Marine Engineering and Technology, 34(6), 914-921 (in Korean with English abstract). 10.5916/jkosme.2010.34.6.914
7
Lee, S.Y., Jang, S.Y., Kim, T.S., Han, H.S., 2015, Analysis of slope safety by tension wire data, Journal of the Korean Geo-Environmental Society, 16(4), 5-12 (in Korean with English abstract). 10.14481/jkges.2015.16.4.5
8
Lim, E.S., Kim, J.H., Lee, J.W., 2011, A prediction method of settlement based on field data using ARIMA model, Proceedings of the Korean Geo-Environmental Society, Incheon, 247-250 (in Korean with English abstract).
9
Linoff, G.S., Berry, M.J., 2011, Data mining techniques: For marketing, sales, and customer relationship management, John Wiley & Sons, 821p.
10
Nomura, S., Ikeda, T., Katagiri, M., Terachi, M., 2008, Consolidation settlement prediction of reclaimed land with dredged clay case record of Kita-Kyushu airport, Journal of the Japanese Geotechnical Society, 56(9), 10-13.
11
Park, M.C., Lee, S.C., Ryu, H.S., Han, H.S., 2015, A study on the method of slope stability based on the measured data, Proceedings of the Korean Geo-Environment Society Conference (15th Anniversary), Seoul, 160-163 (in Korean with English abstract).
12
Weiss, S.M., Indurkhya, N., 1998, Predictive data mining, Morgan kaufmann, 225p.
Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 33
  • No :2
  • Pages :229-240
  • Received Date : 2023-02-14
  • Revised Date : 2023-05-17
  • Accepted Date : 2023-05-19
  • DOI :https://doi.org/10.9720/kseg.2023.2.229
Journal Informaiton The Journal of Engineering Geology The Journal of Engineering Geology
Online Submission
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close