Journal of the Korean GEO-environmental Society (한국지반환경공학회 논문집)

Korean Geo-Environmental Society (한국지반환경공학회)
권호 표지
DOI QR코드

DOI QR Code

Prediction Method for Ground Collapse Using Numerical Simulations

수치해석을 이용한 도로함몰 예측기법

  • Kim, Hee Su (Department of Civil Engineering, Kangwon National University) ;
  • Ban, Hoki (Department of Civil Engineering, Kangwon National University)
  • Received : 2019.07.17
  • Accepted : 2019.08.27
  • Published : 2019.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, ground collapse in urban area has been widely paid attention as it frequently happens. To investigate the causes and suggest the measurements, many researches such as ground exploration from GPR, mock test and numerical simulations have been conducted. The proposed risk evaluation chart recently focuses only on the current ground status and is not capable of forecasting the ground collapse. This paper presents the prediction method of ground collapse using the numerical simulations of 30 cases considering void size and ground height as variables. It finally provides the charts that can analyze quantitatively the ground collapse.

최근 국내 도심지 지반침하 및 함몰이 빈번히 발생함에 따라 지반침하에 대한 불안감 또한 증가하고 있다. 그로 인해 GPR를 통한 지하 공동 탐지 지반함몰 모사실험 지반의 거동을 확인하기 위한 수치해석 등의 연구가 진행되고 있다. 국내의 경우 공동위험도 평가를 최근에 마련하였으나 현재의 지반상태 파악에 초점을 두었기 때문에 향후 발생할 수 있는 지반침하 및 함몰에 대한 예측을 정량적으로 하기 힘들다. 따라서 본 연구에서는 지반침하/함몰의 기하학적 변수인 공동크기와 토피두께를 변화시키며 총 30개의 case에 대한 수치해석을 수행하였다. 이 결과를 바탕으로 현재의 상태 뿐 아니라 향후 발생할 시기를 정량적으로 예측할 수 있는 방법을 제시하였다.

Keywords

References

  1. 국토교통부 (2015), 도로포장 구조 설계 요령, pp. 74-77.
  2. Bae, Y. S., Kim, K. T. and Lee, S. Y. (2017), The road subsidence status and safety improvement plans, Korea Academy Industrial Cooperation Society, Vol. 18, No. 1, pp. 545-552. https://doi.org/10.5762/KAIS.2017.18.1.545
  3. Ban, H., Im, S. and Kim, Y. (2013a), Nonlinear viscoelastic approach to model damage-associated performance behavior of asphaltic mixture and pavement structure, Canadian Journal of Civil Engineering, Vol. 40, pp. 313-323. https://doi.org/10.1139/cjce-2012-0289
  4. Ban, H., Kim, Y. and Pinto, I. (2011), Integrated experimental-numerical approach for estimating material-specific moisture damage characteristics of binder-aggregate interface, Transportation Research Board, Vol. 2209, pp. 9-17. https://doi.org/10.3141/2209-02
  5. Ban, H., Kim, Y. and Rhee, S. (2013b), Computational microstructure modeling to estimate progressive moisture damage behavior of asphaltic paving mixtures, International Journal for Numerical and Analytical Methods in Geomechanics, Vol. 37, pp. 2005-2020. https://doi.org/10.1002/nag.2117
  6. Chae, H. Y. (2017), Study on subsurface collapse of road surface and cavity search in urban area, Tunnel and Underground Space, Vol. 27, No. 6, pp. 387-392. https://doi.org/10.7474/TUS.2017.27.6.387
  7. Geo Search (2014), Method for evaluating ground sink (In Japanese).
  8. Kim, Y., Kim, J. B., Kim, D. and Han, J. G. (2017), Experimental study on generating mechanism of the ground subsidence of due to damaged waters supply pipe, Journal of Korean Geosynthetics Society, Vol. 16, No. 2, pp. 139-148. https://doi.org/10.12814/jkgss.2017.16.2.139
  9. Kim, Y., Park, H., Kim, B. and Park, S. W. (2016), Condition assessment of various types of road cavities using DEM, International Journal of Highway Engineering, Vol. 18, No. 5, pp. 39-47. https://doi.org/10.7855/IJHE.2016.18.5.039
  10. Ryu, D. W., Yum, B. W., Lee, H. J., Jeong, S. W. and Jung, B. (2017), Real-scale experimental simulation to identify a mechanism for urban subsidence, Journal of the Korean Society of Civil Engineers, Vol. 65, No. 9, pp. 34-40.
  11. Seoul City (2016), Road collapse management comprehensive countermeasures reporter briefing, pp. 1-107.