Abstract
The seismic damage of various structures has a significant impact on human production and life, to understand the seismic performance of typical structures and analyze their vulnerability characteristics, and achieve the objective of improving the seismic capacity of structures, and data from 18,480 empirical seismic damage samples from 33 cities and towns for the May 12, 2008, Wenchuan earthquake (China) are summarized and statistically analyzed. The reconnaissance results of the empirical seismic damage show that the structures of masonry structure, multistory reinforced concrete structure, bottom frame-seismic wall masonry and brick-timber and brick-masonry building have the characteristics of widespread application, a myriad of samples and typical failure, sample data for the categories of abovementioned structures are analyzed by statistics and numerical methods, and the empirical seismic damage probability matrix models are established. A nonlinear regression model for calculating the vulnerability grade and the number of samples damaged is proposed. Combined with the empirical sample data, the vulnerability regression function and the curve model of multiple structural types in the VI–X region are established. A mean vulnerability seismic index probability matrix model considering the empirical seismic vulnerability probability in the multiseismic region is proposed. The model is validated by using the above sample database, and the mean damage index matrix in the multiseismic zone is obtained. The analysis results can effectively evaluate the vulnerability characteristics of typical structures in multiseismic regions and provide a necessary reference for a view to a future revision of the building codes and seismic intensity scales currently in force.
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References
Adhikari R, Gautam D (2019) Component level seismic fragility functions and damage probability matrices for Nepali school buildings. Soil Dyn Earthq Eng 120:316–319. https://doi.org/10.1016/j.soildyn.2019.02.009
Alih SC, Vafaei M (2019) Performance of reinforced concrete buildings and wooden structures during the 2015 Mw 6.0 Sabah earthquake in Malaysia. Eng Fail Anal 102:351–368. https://doi.org/10.1016/j.engfailanal.2019.04.056
Batalha N, Rodrigues H, Varum H (2019) Seismic performance of RC precast industrial buildings—learning with the past earthquakes. Innov Infrastruct Solut 4(1):1–13. https://doi.org/10.1007/s41062-018-0191-y
Briseghella B, Demartino C, Fiore A, Nuti C, Sulpizio C, Vanzi I, Lavorato D, Fiorentino G (2018) Preliminary data and field observations of the 21st August 2017 Ischia earthquake. Bull Earthq Eng 17(3):1221–1256. https://doi.org/10.1007/s10518-018-0490-x
Cherif S, Chourak M, Abed M, Pujades L (2019) Seismic evaluation method for existing reinforced concrete buildings in North of Morocco. Bull Earthq Eng 17(7):3873–3894. https://doi.org/10.1007/s10518-019-00643-y
Chieffo N, Clementi F, Formisano A, Lenci S (2019) Comparative fragility methods for seismic assessment of masonry buildings located in Muccia (Italy). J Build Eng. https://doi.org/10.1016/j.jobe.2019.100813
Diana L, Lestuzzi P, Podestà S, Luchini C (2019) Improved urban seismic vulnerability assessment using typological curves and accurate displacement demand prediction. J Earthq Eng 23(4):1–23. https://doi.org/10.1080/13632469.2019.1597784
Dolce M, Speranza E, Giordano F, Borzi B, Bocchi F, Conte C, Neo AD, Faravelli M, Pascale V (2019) Observed damage database of past Italian earthquakes: the Da.D.O. WebGIS. Boll Geof Teor Appl 60(2):141–164. https://doi.org/10.4430/bgta0254
GB/T 17742 (2008) The Chinese seismic intensity scale (in Chinese)
Gong MS, Lin SB, Sun JJ, Li SY (2015) Seismic intensity map and typical structural damage of 2010 Ms 7.1 Yushu earthquake in China. Nat Hazards 77:847–866. https://doi.org/10.1007/s11069-015-1631-z
Grünthal G (ed) (1998) European macroseismic scale 1998 (EMS-98). Centre Europèen de Géodynamique et de Séismologie, Luxembourg
Joshi GC, Ghildiyal S, Rautela P (2019) Seismic vulnerability of lifeline buildings in Himalayan province of Uttarakhand in India. Int J Disaster Risk Reduct 37(101168):1–10. https://doi.org/10.1016/j.ijdrr.2019.101168
Ko YY, Yang HH (2019) Deriving seismic fragility curves for sheet-pile wharves using finite element analysis. Soil Dyn Earthq Eng 123:265–277. https://doi.org/10.1016/j.soildyn.2019.05.014
Lagomarsino S, Cattari S, Ottonelli D, Giovinazzi S (2019) Earthquake damage assessment of masonry churches: proposal for rapid and detailed forms and derivation of empirical vulnerability curves. Bull Earthq Eng 17(6):3327–3364. https://doi.org/10.1007/s10518-018-00542-8
Li SQ, Yu TL, Jia JF (2019) Investigation and analysis of empirical field seismic damage to bottom frame seismic wall masonry structure. Int J Eng Trans B Appl 32(8):1082–1089. https://doi.org/10.5829/ije.2019.32.08b.04
Lin SB, Xie LL, Gong MS, Li M (2010) Performance-based methodology for assessing seismic vulnerability and capacity of buildings. Earthq Eng Eng Vib 9:157–165. https://doi.org/10.1007/s11803-010-0002-8
Ludovico MD, Santoro A, Martino GD, Moroni C, Prota A, Dolce M, Manfredi G (2019) Cumulative damage to school buildings following the 2016 central Italy earthquake sequence. Boll Geof Teor Appl 60(2):165–182. https://doi.org/10.4430/bgta0240
Matteis GD, Zizi M (2019) Seismic damage prediction of masonry churches by a PGA-based approach. Int J Archit Herit 13(4):1–15. https://doi.org/10.1080/15583058.2019.1597215
Mosoarca M, Onescu I, Onescu E, Azap B, Chieffo N, Szitar-Sirbu M (2019) Seismic vulnerability assessment for the historical areas of the Timisoara city, Romania. Eng Fail Anal 101:86–112. https://doi.org/10.1016/j.engfailanal.2019.03.013
Nazmfar H, Saredeh A, Eshgi A, Feizizadeh B (2018) Vulnerability evaluation of urban buildings to various earthquake intensities: a case study of the municipal zone 9 of Tehran. Hum Ecol Risk Assess 25(SI1-2):455–474. https://doi.org/10.1080/10807039.2018.1556086
Polese M, Aragona GD, Prota A (2019) Simplified approach for building inventory and seismic damage assessment at the territorial scale: an application for a town in southern Italy. Soil Dyn Earthq Eng 121:405–420. https://doi.org/10.1016/j.soildyn.2019.03.028
Remki M, Chikh B, Kibboua A, Kehila F, Mehani Y, Fettar B (2018) Seismic vulnerability and damage assessment of an existing URM building. Iran J Sci Technol Trans Civ Eng 43(S1):569–581. https://doi.org/10.1007/s40996-018-0187-z
Richter C (1958) Elementary seismology. Freeman and Company, San Francisco
Samanta A, Swain A (2019) Seismic response and vulnerability assessment of representative low, medium and high-rise buildings in Patna, India. Structures 19:110–127. https://doi.org/10.1016/j.istruc.2019.01.002
Sun BT, Zhang GX (2018) Study on vulnerability matrices of masonry buildings of mainland China. Earthq Eng Eng Vib 17(2):251–259. https://doi.org/10.1007/s11803-018-0439-8
Torres Y, Arranz JJ, Gaspar-Escribano JM, Haghi A, Martínez-Cuevas S, Benito B, Ojeda JC (2019) Integration of LiDAR and multispectral images for rapid exposure and earthquake vulnerability estimation. Application in Lorca, Spain. Int J Earth Obs Geoinf 81:161–175. https://doi.org/10.1016/j.jag.2019.05.015
Yuan YF (2008) Impact of intensity and loss assessment following the great Wenchuan Earthquake. Earthq Eng Eng Vib 7(3):247–254. https://doi.org/10.1007/s11803-008-0893-9
Zhong J, Zhang JP, Zhi XD, Fan F (2019) Probabilistic seismic demand and capacity models and fragility curves for reticulated structures under far-field ground motions. Thin-Walled Struct 137:436–447. https://doi.org/10.1016/j.tws.2019.01.032
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The research described in this paper was financially supported by the Natural Science Foundation Youth Fund of China (51608494) and Heilongjiang Science Foundation Face Project (E2018060).
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Li, SQ., Chen, YS. Analysis of the probability matrix model for the seismic damage vulnerability of empirical structures. Nat Hazards 104, 705–730 (2020). https://doi.org/10.1007/s11069-020-04187-2
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DOI: https://doi.org/10.1007/s11069-020-04187-2