Engineering Mechanics ›› 2019, Vol. 36 ›› Issue (2): 141-153.doi: 10.6052/j.issn.1000-4750.2017.12.0930

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SEISMIC LIFE-CYCLE LOSS ESTIMATION OF CFRP REINFORCED INDUSTRIAL BUILDINGS

ZHU Jian1,2, ZHAO Jun-hai1, TAN Ping3, JIN Jian-min3   

  1. 1. Department of Civil Engineering, Chang'an University, Xi'an 710064, China;
    2. Department of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China;
    3. Earthquake Engineering Research and Test Center, Guangzhou University, Guangzhou 510405, China
  • Received:2017-12-06 Revised:2018-03-23 Online:2019-02-22 Published:2019-02-22

Abstract: The seismic life-cycle cost (SLCC) is a estimated measure of the damage cost due to future earthquakes that will occur during the service period of industrial buildings. Thusly, the structural seismic vulnerability and life-cycle seismic cost of single story factory buildings with or without the CFRP strengthen bent frame columns in multiple earthquake hazard levels (HL) is studied using nonlinear incremental dynamic analysis (IDA). The seismic hazardous probability model of the selected region in Western China is established based on China seismic code and strong waves database from The Pacific Earthquake Engineering Research Center (PEER). Four damage indices (DIs) are used creatively, whose hybrid weight factors can be calculated statistic results of SLCC related to particular structural & nonstructural damage limit states (LS). The Monte Carlo Samplings (MCS) method is integrated into the SLCC framework with taking into account the uncertainty on mass, material properties and ground waves. The seismic life-cycle statistical median cost of CFRP reinforced industrial buildings in the selected area is 5.75 yuan/m2 annually and more economical in budget with 18 percent savings compared to the original structures. The Coefficient variance of results is only 1.35%~1.36%.

Key words: Seismic life-cycle cost, reinforced concrete industrial buildings, CFRP reinforcement, Nonlinear incremental dynamic analysis, Monte Carlo stochastic method, hybrid weight factors

CLC Number: 

  • TU323.5
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