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Seismic damage assessment based on regional synthetic ground motion dataset: a case study for Erzincan, Turkey

Author

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  • Shaghayegh Karimzadeh

    (Middle East Technical University)

  • Aysegul Askan

    (Middle East Technical University)

  • Murat Altug Erberik

    (Middle East Technical University)

  • Ahmet Yakut

    (Middle East Technical University)

Abstract

Estimation of seismic losses is a fundamental step in risk mitigation in urban regions. Structural damage patterns depend on the regional seismic properties and the local building vulnerability. In this study, a framework for seismic damage estimation is proposed where the local building fragilities are modeled based on a set of simulated ground motions in the region of interest. For this purpose, first, ground motion records are simulated for a set of scenario events using stochastic finite-fault methodology. Then, existing building stock is classified into specific building types represented with equivalent single-degree-of-freedom models. The response statistics of these models are evaluated through nonlinear time history analysis with the simulated ground motions. Fragility curves for the classified structural types are derived and discussed. The study area is Erzincan (Turkey), which is located on a pull-apart basin underlain by soft sediments in the conjunction of three active faults as right-lateral North Anatolian Fault, left-lateral North East Anatolian Fault, and left-lateral Ovacik Fault. Erzincan city center experienced devastating earthquakes in the past including the December 27, 1939 (Ms = 8.0) and the March 13, 1992 (Mw = 6.6) events. The application of the proposed method is performed to estimate the spatial distribution of the damage after the 1992 event. The estimated results are compared against the corresponding observed damage levels yielding a reasonable match in between. After the validation exercise, a potential scenario event of Mw = 7.0 is simulated in the study region. The corresponding damage distribution indicates a significant risk within the urban area.

Suggested Citation

  • Shaghayegh Karimzadeh & Aysegul Askan & Murat Altug Erberik & Ahmet Yakut, 2018. "Seismic damage assessment based on regional synthetic ground motion dataset: a case study for Erzincan, Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1371-1397, July.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:3:d:10.1007_s11069-018-3255-6
    DOI: 10.1007/s11069-018-3255-6
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    References listed on IDEAS

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    1. Chen Yong & Chen Ling & Federico Güendel & Ota Kulhánek & Li Juan, 2002. "Seismic Hazard and Loss Estimation for Central America," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 25(2), pages 161-175, February.
    2. Meng-Hsun Hsieh & Bing-Jean Lee & Tsu-Chiang Lei & Jer-Yan Lin, 2013. "Development of medium- and low-rise reinforced concrete building fragility curves based on Chi-Chi Earthquake data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 695-728, October.
    3. A. Kappos & K. Stylianidis & K. Pitilakis, 1998. "Development of Seismic Risk Scenarios Based on a Hybrid Method of Vulnerability Assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 17(2), pages 177-192, March.
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    Cited by:

    1. Zhitao Fei & Xiaodong Guo & Janes Ouma Odongo & Donghui Ma & Yuanyuan Ren & Jiajia Wu & Wei Wang & Junyi Zhu, 2023. "A Seismic Fragility Assessment Method for Urban Function Spatial Units: A Case Study of Xuzhou City," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    2. Fatma Yerlikaya-Özkurt & Aysegul Askan, 2020. "Prediction of potential seismic damage using classification and regression trees: a case study on earthquake damage databases from Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3163-3180, September.

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