Analysis of Sample Survey of Rural Houses in Five Regions of Gansu and Earthquake Damage Prediction

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Abstract:

A large number of rural housing data based on field identification of Gansu five surveys were compiled, and the paper analyses the housing situation of Gansu, points out that the technical defects of the current rural housing construction. The mathematical model is established by fuzzy theory which is used to predict the earthquake disaster that may occur under the appropriate intensity of the survey areas in the future. Purpose is to provide the basic data to fully carry out the rural residential seismic safety work, and provide advice and reference for the follow-up to the rebuilding of old housing. It may be beneficial to enhance and improve the areas of rural building seismic performance.

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2265-2269

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lunbiao Yang, Yingyi Gao: the principle of fuzzy mathematics and applications (fourth edition), Guangzhou, South China University of Technology Press, 2005.

Google Scholar

[2] Xueli Ge, Linxin Zhu and Yayong Wang: Village building earthquake damages and technical measures, Earthquake Engineering, 2001(1).

Google Scholar

[3] Lanmin Wang, Zhongxia Yuan: Investigation and analysis of seismic vulnerability of Gansu rural houses, World Earthquake Engineering, 2005(4).

Google Scholar

[4] Guangyuan Wang: The application of several mathematical models and the comprehensive evaluation method, Fuzzy Mathematics, 1984(4).

Google Scholar

[5] Guangliang Jin, Gangping Guo and Bohong Qi: A method to the old houses of earthquake damage prediction, Earthquake Engineering, 1985(2).

Google Scholar

[6] Gangtie Zhou, Shuguang Luo: The survey analysis of rural housing construction in western plight of poverty-stricken areas, Fujian Building Materials, 2011(3).

Google Scholar