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作 者:程时涛 何浩祥[1] 程扬 高晓建 CHENG Shitao;HE Haoxiang;CHENG Yang;GAO Xiaojian(Beijing Key Laboratory of Earthquake Engineering and Structural Retrofit,Beijing University of Technology,Beijing 100024,China;School of Civil Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
机构地区:[1]北京工业大学工程抗震与结构诊治北京市重点实验室,北京100124 [2]兰州理工大学土木工程学院,甘肃兰州730050
出 处:《建筑结构学报》2025年第1期134-146,共13页Journal of Building Structures
基 金:国家自然科学基金项目(52378469);国家重点研发计划(2017YFC1500604)。
摘 要:为提高震损钢筋混凝土柱的抗震性能,采用纤维增强混凝土及碳纤维编织网对其进行修复。考虑修复方法和轴压比的影响,设计5根钢筋混凝土柱,并经预损伤加载及修复处理后开展低周往复加载试验。结果表明:采用纤维增强混凝土及碳纤维编织网对震损钢筋混凝土柱进行修复,可以改善柱的破坏模式,显著提高其受力性能、抗裂性能和耗能能力;纤维编织网可以有效分担原本应由纵筋、箍筋承担的应力,采用纤维增强混凝土及碳纤维编织网进行修复有效。在ParkAng模型、改进Park-Ang模型、Kratzig模型和弹塑性耗能差模型中,采用Kratzig模型或弹塑性耗能差模型开展损伤评估更加合理。通过理论分析建立相关的受弯承载力及受剪承载力计算方法,结合试验数据证明理论计算方法的准确性,其最大相对误差不超过11.9%。To improve the seismic performance of seismic-damaged reinforced concrete(RC) columns, this study used fiber-reinforced concrete(FRC) and carbon textile for repair. Considering the influence of repair methods and axial compression ratio, five RC columns were designed in this study, and low cycle reciprocating loading tests were conducted after pre damage loading and repair treatment. The results show that using FRC and textile to repair damaged RC columns can improve the failure mode of RC columns and significantly enhance their mechanical properties, crack resistance, and energy dissipation capacity. Textile can effectively share the stress that should be borne by longitudinal bars and stirrups, and the use of FRC and textile for repair is effective. Meanwhile, in the Park-Ang model, modified Park-Ang model, Kratzig model, and elastic-plastic energy dissipation ratio model, it is more reasonable to use the Kratzig model or the elastic-plastic energy dissipation ratio model for damage assessment.In addition, relevant calculation methods for bending and shear bearing capacity are established through theoretical analysis, and the accuracy of the theoretical calculation methods is demonstrated by combining test data,with the maximum relative error is less than 11. 19%.
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