论文部分内容阅读
针对我国现行抗震设计规范尚未对结构的超强性能作明确的考虑,本文考虑不同设防烈度,不同层数严格按现行抗震规范设计了17个典型RC框架结构,采用Open Sees进行有限元建模与分析,并通过结构拟静力试验数据对有限元模型进行验证。采用文中提出的动力能力谱方法,对RC框架结构在地震作用下的反应进行分析,得到结构在不同设防水准下的整体超强系数需求值,并将其分析结果与传统静力能力谱方法分析结果进行对比分析。按VI、VII、VIII度设防烈度设计的不同层数的结构,设防地震作用下,超强系数需求值的变化范围分别为0.51~1.89、0.46~1.94、0.57~1.80;罕遇地震作用下,超强系数需求值的变化范围分别为1.18~4.05、1.33~3.45、1.42~2.66。采用动力能力谱方法可以有效地分析结构在地震作用下的超强系数需求值,量化结构在特定地震设防水准作用下承载力的实际需求,改善静力能力谱方法中动力需求谱与静力能力谱曲线的不和谐性。
In view of the fact that the current seismic design codes in our country have not explicitly considered the superior performance of the structure, 17 typical RC frame structures are designed strictly according to the existing seismic codes in different layers considering different fortification intensity. The finite element modeling with Open Sees and Analysis and verification of the finite element model through structural pseudo-static test data. The dynamic capacity spectrum method proposed in this paper is used to analyze the response of RC frame structures under earthquake action to obtain the global super-strength coefficient demand under different fortification levels. The analysis results are compared with the traditional static capacity spectrum method The results of comparative analysis. According to VI, VII and VIII degrees, we design the structures with different levels of design for the degree of fortification. Under fortified earthquake, the range of the required value of super-coefficient varies from 0.51 to 1.89 and from 0.46 to 1.94 and from 0.57 to 1.80 respectively. Under the rare earthquake, The coefficient of variation of super-coefficient demand values are 1.18 ~ 4.05, 1.33 ~ 3.45 and 1.42 ~ 2.66, respectively. The method of dynamic power spectrum can effectively analyze the demand of super strong coefficient under the action of earthquake, quantify the actual demand of bearing capacity of the structure under the action of specific seismic fortification level, and improve the power demand spectrum and static power in the method of static power spectrum Disharmony of spectral curve.