Journal of Korean Society of Disaster and Security (한국방재안전학회논문집)

Korean Society of Disaster & Security (한국방재안전학회)
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A Study on Estimation of the Collapse Pattern of Road Sink Using Distinct Element Method

개별요소법을 이용한 도로함몰 붕괴양상 추정에 관한 연구

  • Received : 2019.04.29
  • Accepted : 2019.06.19
  • Published : 2019.06.30
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Abstract

The road sinks in the sewer line or subway section are affected by the ground characteristics. Therefore, it is necessary to accurately identify the relationship between the soil properties and the ground motion in the area where cavities occurred in order to establish a countermeasure against the road sink. In this paper, simulation was performed by using EDEM program, which is one of the Discrete Element Method programs, for sandy soil and clayey soil, which are most common in alluvial deposits, with different locations and sizes of cavities in the underground. As a result, it was found that the sink size occurred more in the sandy soil than in the cohesive soil. Deeper and larger cavity is more likely to occur the road sink In the sand soil model while road sink in the clay model is easy to occur when the cavity is more shallower.

서울시에서 2010년부터 2016년까지 발생한 도로함몰 발생 건수는 총 4,737건으로 매년 증가하여 사회문제도 대두되고 있다. 특히 도로함몰은 충적층이 두껍게 분포하는 송파구와 구로구에 집중되어 나타나는데 이는 하수관로 또는 지하철이 통과하는 지역의 지반특성이 큰 영향을 미치기 때문이다. 도로함몰에 대한 대책방안을 수립하기 위해서는 누수가 발생하는 구간에서의 지반특성과 지반거동의 관계를 정확하게 규명하는 것이 필요하다. 이 논문에서는 충적층에 가장 흔하게 나타나는 사질토와 점성토를 대상으로 개별요소법 프로그램 중 하나인 EDEM 프로그램을 이용하여 지층 내 공동의 위치 및 크기를 달리하여 시뮬레이션을 수행하였다. 그 결과 점성토 지반보다 사질토 지반에서 함몰 규모가 크게 발생한 것으로 나타났으며, 점착력이 없는 사질토 지반에서는 지하 공동의 깊이가 깊고 지하 공동의 규모가 증가할수록 도로함몰이 쉽게 발생하는 양상을 보인 반면, 점착력이 있는 점성토 모델에서는 지하 공동의 깊이가 얕을수록 도로함몰이 쉽게 발생하는 양상을 보였다.

Keywords

HKBJBA_2019_v12n2_57_f0001.png 이미지

Fig. 1. Geometry Size setting

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Fig. 3. Cavity volume/model ground depression volume of soil to total volumn

HKBJBA_2019_v12n2_57_f0003.png 이미지

Fig. 2. Underground Co-location

Table 1. Physical properties of Sandy Soil Model · Clayey Soil Model

HKBJBA_2019_v12n2_57_t0001.png 이미지

Table 2. Simulation condition table

HKBJBA_2019_v12n2_57_t0002.png 이미지

Table 3. The pattern of occurrence of ground depression in each model

HKBJBA_2019_v12n2_57_t0003.png 이미지

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