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http://dx.doi.org/10.5000/EESK.2016.20.6.391

Earthquake Direct Economic Loss Estimation of Building Structures in Gangnam-Gu District in Seoul Using HAZUS Framework  

Jeong, Gi Hyun (School of Civil, Environmental and Architectural Engineering, Korea University)
Lee, Han Seon (School of Civil, Environmental and Architectural Engineering, Korea University)
Kwon, Oh-Sung (Department of Civil Engineering, University of Toronto)
Hwang, Kyung Ran (School of Civil, Environmental and Architectural Engineering, Korea University)
Publication Information
Journal of the Earthquake Engineering Society of Korea / v.20, no.6, 2016 , pp. 391-400 More about this Journal
Abstract
For earthquake loss estimation of building structures in Gangnam-Gu district in Seoul, three scenario earthquakes were selected by comparison of the response spectra of these scenario earthquakes with the design spectrum in Korean Building Code (KBC 2009), and then direct losses of the building structures in the Gangnam-Gu district under each scenario earthquake are estimated. The following conclusions are drawn from the results of damage and loss in the second scenario earthquake, which has a magnitude = 6.5 and epicentral distance =15 km: (1) The ratio of building stocks undergoing the extensive and complete damage level is 40.0% of the total. (2) The amount of direct economic losses appears approximately 19 trillion won, which is 1.2% of the national GDP of Korea. (3) About 25% of high-rise (over 10-story) RC building wall structures, were inflicted with the damage exceeding moderate level, when compared to 60% of low-rise building structures. (4) From the economical view point, the main loss, approximately 50%, was caused by the damage in the high-rise RC wall building structures.
Keywords
Korea; Earthquake Scenario; Loss Estimation; Damage;
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  • Reference
1 Lumantarna E, Wilson JL, Lam, NTK. Bi-linear displacement response spectrum model for engineering applications in low and moderate seismicity regions. Soil Dynamics and Earthquake Engineering. 2012;43:85-96.   DOI
2 Jo ND, Baag CE. Estimation of spectrum decay parameter ${\kappa}$ and stochastic prediction of strong ground motions in southeastern Korea. Journal of Earthquake Engineering Society of Korea. 2003;7(3):59-70.
3 Korean Statistical Information Service [internet]. Available from: http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parentId=H
4 Web service of Gangnam-gu Office [internet]. Available from: http://www.gangnam.go.kr/integ/#b02_03
5 Uniform Building Code, UBC, International Conference of Building Officials, Whittier, CA; c1997.
6 Korea Appraisal Board [internet]. Available from: http://www.r-one.co.kr/rone/resis/statistics/statisticsViewer.do
7 Yifan Y. Impact of Intensity and Loss Assessment Following the Great Wenchuan Earthquake. Earthquake Engineering and Engineering Vibration. 2008;7(3):247-254.   DOI
8 Elnashai AS, Gencturk B, Kwon OS, Al-Qadi I, Hashash T, Roesler JR, Kim SJ, Jeong SH, Dukes J, Valdivia A. The Maule (Chile) Earthquake of February 27, 2010. Mid-America Earthquake Center. 2010. MAE Center Report No. 10-04. c2010.
9 Multi-Hazard Loss Estimation Methodology. Earthquake Model, HAZUS(R) MH Technical Manual. National Institute of Building Sciences and Federal Emergency Management Agency: Washington DC. c2003. 690 p.
10 Volume 5: summary and Recommendations in Volumes 5-7, Christchurch, the city and approach to this inquiry. Canterbury Earthquakes Royal Commission. c2012. 72 p.
11 Jung GH, Park JY, Kang BH. Development and Application of Earthquake Disaster Response System of Korea. Earthquake Engineering Society of Korea. 2009; 09' Autumn meeting and conference. c2009. pp. 167-194.
12 Korean Building Code, KBC 2009: Architectural Institute of Korea, Seoul, Korea; c2009.