Smart Structures and Systems

  • 제16권5호
  • /
  • Pages.873-889
  • /
  • 2015
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Quasi real-time post-earthquake damage assessment of lifeline systems based on available intensity measure maps

  • Torbol, Marco (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology)
  • 투고 : 2014.04.18
  • 심사 : 2015.05.20
  • 발행 : 2015.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

In civil engineering, probabilistic seismic risk assessment is used to predict the economic damage to a lifeline system of possible future earthquakes. The results are used to plan mitigation measures and to strengthen the structures where necessary. Instead, after an earthquake public authorities need mathematical models that compute: the damage caused by the earthquake to the individual vulnerable components and links, and the global behavior of the lifeline system. In this study, a framework that was developed and used for prediction purpose is modified to assess the consequences of an earthquake in quasi real-time after such earthquake happened. This is possible because nowadays entire seismic regions are instrumented with tight networks of strong motion stations, which provide and broadcast accurate intensity measure maps of the event to the public within minutes. The framework uses the broadcasted map and calculates the damage to the lifeline system and its component in quasi real-time. The results give the authorities the most likely status of the system. This helps emergency personnel to deal with the damage and to prioritize visual inspections and repairs. A highway transportation network is used as a test bed but any lifeline system can be analyzed.

키워드

과제정보

연구 과제 주관 기관 : Ulsan National Institute of Science and Technology (UNIST)

참고문헌

  1. Basoz, N.I., Kiremidjian, A.S., King, S.A. and Law, K.H. (1999), "Statistical analysis of bridge damage data from the 1994 Northridge, CA, earthquake", Earthq. Spectra, 15(1), 25-54. https://doi.org/10.1193/1.1586027
  2. Der Kiureghian, A. (2005), "Non-ergodicity and PEER's framework formula", Earthq. Eng. Struct. D., 34(13), 1643-1652. https://doi.org/10.1002/eqe.504
  3. Fraser, W.A., Wald, D.J. and Lin, K.W. (2008). "Using Shake map and ShakeCast to Prioritize Post-Earthquake Dam Inspections", Geotechnical Earthquake Engineering and Soil Dynamics Congress IV.
  4. Karim, K.R. and Yamazaki, F. (2002), "Correlation of JMA instrumental seismic intensity with strong motion parameters", Earthq. Eng. Struct. D., 31(5), 1191-1212. https://doi.org/10.1002/eqe.158
  5. Olsen, K.B., Day, S.M., Minster, J.B., Cui, Y., Chourasia, A., Okaya, D., Maechling, P. and Jordan, T. (2008), "TeraShake2: Spontaneous rupture simulations of M-w 7.7 earthquakes on the southern San Andreas fault", Bull. Seismol. Soc. Am., 98(3), 1162-1185. https://doi.org/10.1785/0120070148
  6. Shin, T., Tsai, Y., Yeh, Y., Liu, C. and Wu, Y. (2002), Strong-motion instrumentation program in Taiwan, S. D. Academic, San Diego.
  7. Shinozuka, M., Feng, M.Q., Lee, J. and Naganuma, T. (2000), "Statistical analysis of fragility curves", J. Eng. Mech.-ASCE, 126(12), 1224-1231. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1224)
  8. Shinozuka, M., Murachi, Y., Dong, X., Zhou, Y. and Orlikowski, M. (2003), "Effect of seismic retrofit of bridges on transportation networks", Earthq. Eng. Eng. Vib., 2(2), 169-179. https://doi.org/10.1007/s11803-003-0001-0
  9. Shiraki, N., Shinozuka, M., Moore, J.E., Chang, S.E., Kameda, H. and Tanaka, S. (2007), "System risk curves: probabilistic performance scenarios for highway networks subject to earthquake damage", J. Infrastruct. Syst., 13(1), 43-54. https://doi.org/10.1061/(ASCE)1076-0342(2007)13:1(43)
  10. Torbol, M. and Shinozuka, M. (2012), "Effect of the angle of seismic incidence on the fragility curves of bridges", Earthq. Eng. Struct. D., 41(14), 2111-2124. https://doi.org/10.1002/eqe.2197
  11. Torbol, M. and Shinozuka, M. (2014), "The directionality effect in the seismic risk assessment of highway networks", Struct. Infrastruct. E., 10(2), 175-188. https://doi.org/10.1080/15732479.2012.716069
  12. Wald, D., Lin, K.W., Porter, K. and Turner, L. (2008). "ShakeCast: Automating and improving the use of Shake map for post-earthquake decision-making and response", Earthq. Spectra, 24(2), 533-553. https://doi.org/10.1193/1.2923924
  13. Wald, D. J., Heaton, T., Kanamori, H., Maechling, P.Quitoriano, V. (1996). "Research and development of TriNet 'Shake' Maps", EOS, 78(46), 45.
  14. Wald, D.J., Quitoriano, V., Heaton, T.H. and Kanamori, H. (1999b), "Relationship between peak ground acceleration, peak ground velocity, and modified mercalli intensity for earthquakes in California", Earthq. Spectra, 15(3), 557-564. https://doi.org/10.1193/1.1586058
  15. Wald, D.J., Quitoriano, V., Heaton, T. H., Kanamori, H., Scrivner, C.W. and Worden, C.B. (1999a). "TriNet 'Shake maps': Rapid Generation of Peak Ground-motion and Intensity Maps for Earthquakes in Southern California", Earthq. Spectra, 151(3), 537-556.
  16. Wald, D.J., Worden, B.C., Quitoriano, V. and Pankow, K.L. (2006), Shake $map^{(R)}$ Manual, Technical manual, users guide, and software guide,, USGS.
  17. Yamakawa, K. (1998), "The prime minister and the earthquake: Emergency management leadership of Prime Minister Marayama on the occasion of the Great Hanshin-Awaji earthquake disaster", Kansai Univ. Rev. Law and Politics, 19, 13-55.
  18. Yamazaki, F., Hamada, T., Motoyama, H. and Yamauchi, H. (1999), "Earthquake damage assessment of expressway bridges in Japan", Optim.Post-Earthq. Lifeline Syst. Reliab., (16), 361-370.
  19. Yamazaki, F., Katayama, T., Noda, S., Yoshikawa, Y. and Ohtani, Y. (1995), Development of large scale city-gas network alert system based on monitored earthquake ground motion, JSCE.