한국전산구조공학회논문집 (Journal of the Computational Structural Engineering Institute of Korea)

  • 제28권2호
  • /
  • Pages.177-185
  • /
  • 2015
  • /
  • 1229-3059(pISSN)
  • /
  • 2287-2302(eISSN)
한국전산구조공학회 (Computational Structural Engineering Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

국내 도심지 매설가스배관의 지진취약도 분석 연계 GIS 정보 가시화 기술

Visualization Technology of GIS Associated with Seismic Fragility Analysis of Buried Pipelines in the Domestic Urban Area

  • 이진혁 (고려대학교 건축사회환경공학부) ;
  • 차경화 (고려대학교 건축사회환경공학부) ;
  • 송상근 (고려대학교 건축사회환경공학부) ;
  • 공정식 (고려대학교 건축사회환경공학부)
  • Lee, Jinhyuk (School of Civil Environmental and Architectural Engineering, Korea Univ.) ;
  • Cha, Kyunghwa (School of Civil Environmental and Architectural Engineering, Korea Univ.) ;
  • Song, Sangguen (School of Civil Environmental and Architectural Engineering, Korea Univ.) ;
  • Kong, Jung Sik (School of Civil Environmental and Architectural Engineering, Korea Univ.)
  • 투고 : 2014.12.31
  • 심사 : 2015.01.16
  • 발행 : 2015.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

도시기반 라이프라인은 지진발생시 시설물의 붕괴뿐만 아니라 붕괴로 인한 도시기능 마비, 대형화재와 같은 2차 피해를 동반하여 막대한 사회 경제적 손실을 야기할 것으로 예측된다. 이에 대한 대비책으로 국내에서는 지진재해대응시스템을 운영 중이며, 지진재해대응시스템은 각 시설물별 지진취약도 모델을 통해서 시설물의 파괴확률을 산정하고, 지진재해 정도를 평가한다. 따라서 본 논문에서는 국내 지반특성을 고려하여 도시기반 라이프라인 시설물 중 매설가스배관의 시간이력 해석을 수행하였고, 확률론적인 해석방법인 최우도추정법을 이용하여 지진취약도 모델을 개발하였다. 해석모델은 국내 대표도시인 서울지역에 매설된 고압관과 중압관으로 선정하였으며, 지반의 모델링은 Winkler foundation 모델을 이용하였다. 또한 개발된 취약도 모델의 GIS 적용방안을 제시하였다.

City-based Lifeline is expected to cause significant social and economic loss accompanied the secondary damage such as paralysis of urban functions and a large fire as well as the collapse caused by earthquake. Earthquake Disaster Response System of Korea is being operated with preparation, calculates the probability of failure of the facility through Seismic Fragility Model and evaluates the degree of earthquake disaster. In this paper, the time history analysis of buried gas pipeline in city-based lifeline was performed with consideration for ground characteristics and also seismic fragility model was developed by maximum likelihood estimation method. Analysis model was selected as the high-pressure pipe and the normal-pressure pipe buried in the city of Seoul, Korea's representative, modeling of soil was used for Winkler foundation model. Also, method to apply developed fragility model at GIS is presented.

키워드

참고문헌

  1. American Lifelines Alliance (2001) Guideline for the Design of Buried Steel Pipe, ASCE, p.76.
  2. Choi, Y.J. (2013) Department of Civil Environmental & Architectural Engineering, Master's Degree, Korea Univ., p.108.
  3. Hans, M.H., Thomas, J.R.H., Robert, L.T. (1977) Improved Numerical Dissipation for Time Integration Algorithms in Structural Dynamics, Earthq. Eng. & Struct. Dyn., 5, pp.283-292. https://doi.org/10.1002/eqe.4290050306
  4. Kong, J.S., Lee, D.H., Kim, W.S., Chung, T.Y. (2006) Probability-based Seismic Safety Assessment of Underground Cas Pipeline, Korean Soc. Civil Eng., pp.1831-1834.
  5. Kim, J.S., Jung, W.Y., Kwon, M.H. (2013) Dissipation of Higher Mode using Numerical Integration Algorithm in Dynamic Analysis, World Academy of Science, Eng. & Technol., 74, pp.73-80.
  6. Lee, D.H., Jeon, J.M., Oh, J.K., Lee, D.H. (2010) Earthquake Fragility Analysis of a Buried Gas Pipeline, Earthq. Eng. Soc. Korea, 14(5), pp.65-76. https://doi.org/10.5000/EESK.2010.14.5.065
  7. Lee, D.H., Cho, K.S., Chung, T.Y., Kong, J.S. (2007) Earthquake Response Analysis of a Buried Gas Pipeline, Earthq. Eng. Soc. Korea, 11(6), pp41-52. https://doi.org/10.5000/EESK.2007.11.6.041
  8. Lee, D.H. (2010) Earthquake Fagility Assesment of a Buried Gas Pipeline using Inelastic Seismic Analysis, Master's Degree, PAICHAI Univ., p.112.
  9. Mashaly, A., Datta, T.K. (1989) Seismic Risk Analysis of Buried Pipelines, ASCE J. Transp. Eng., 115(3), pp.232-252. https://doi.org/10.1061/(ASCE)0733-947X(1989)115:3(232)
  10. Omar, A.P.P., Mario, O. (2012) Seismic Damage Estimation in Buried Pipelines due to Future Earthquakes-The Case of the Mexico City Water System, Earthquake-Resistant Structures-Design, Assessment and Rehabilitation, InTech, pp.131-150.
  11. Park, D.H., Kwak, D.Y., Jeong, C.G. (2009) Development of New Probabilistic Seismic Hazard Analysis and Seismic Coefficients of Korea Part I : Application and Verification of a Novel Probabilistic Seismic Hazard Analysis Procedure, Korean Geo-Environ. Soc., 10(7), pp.111-115.
  12. Seoul Metropolitan Gov. (2006) The Soil Survey of a Site Manual, p.130.
  13. Shinozuka, M., Feng, M.Q., Kim, H.K., Kim, S.H. (2000) Nonlinear Static Procedure for Fragility Curve Development, J. Eng. Mech., 126(12), pp.1287-1295. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1287)
  14. Shinozuka, M., Feng, M.Q., Lee, J., Naganuma, T. (2000) Statistical Analysis of Fragility Curves, J. Eng. Mech., 126(12), pp.1224-1231. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1224)