Title |
Study on the Nonlinear Analysis Model for Seismic Performance Evaluation of School Buildings Retrofitted with Infilled Steel Frame with Brace
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Authors |
유석형(Suk-Hyeong Yoo) ; 고관욱(Kwan-Wook Ko) |
DOI |
https://doi.org/10.11112/jksmi.2022.26.4.65 |
Keywords |
철골 끼움가새골조; 내진성능평가; 비선형 정적해석; 강성보강 Infilled steel frame with brace; Seismic performance evaluation; Nonlinear static analysis; Stiffness strengthening |
Abstract |
Recently, damage to buildings due to earthquakes in Korea occurred mainly in school buildings and Piloti-type multi-family houses, highlighting the need for seismic retrofit for buildings of the same type. In the early days of the seismic retrofit project for school facilities, various patented methods using dampers as a ductile seismic retrofit method were applied without sufficient verification procedures. However, in ? School Facility Seismic Performance Evaluation and Retrofit Manual, 2021?, when the patented method is applied, it must be applied through a separate strict verification procedure, and instead, the strength/stiffness retrofit method was induced as a general method. In practice,when evaluating seismic performance for retrofit by infilled steel frame with brace, the analysis model is constructed by directly connecting only the steel brace to the existing RC member. However, if the frame is removed from the analysis model of the infilled steel frame with brace, the force reduction occurring on the existing RC member near the retrofit is considered to be very large, and this is judged to affect the review of whether to retrofit the foundation or not. Therefore, in this study, preliminary analysis with variables such as whether or not steel frame is taken into account and frame link method for the analysis model of RC school building retrofitted by infilled steel frame with brace and nonlinear analysis for actual 3-story school building was performed, and basic data for rational analysis model setting were presented by comparing preliminary analysis and pushover analysis results for each variable.
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