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基于进化优化算法的高层建筑抗震能力分析
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摘要
地震是一种随机性极强的自然灾害现象,全球每年发生地震次数约为550万次。如何增强建筑物的抗震能力,成为当今的科学研究的重要课题,其相关研究在其他领域也成为应用热门。
     在抗震建筑研究中,如何简化建筑物,建立其理论和实验模型是研究建筑物的抗震能力的关键。当今的研究主要将高层建筑简化为框架结构模型,这类模型计算量大,分析时间长,制约了该研究方法的应用和推广。
     木课题提出采用结构力学中梁的理论,将高层建筑简化成为iTm0Sehkno梁系统,结合有限元方法,通过MtaLab建立梁系统的质量和刚度矩阵,分析和观察高层建筑在地震过程中的动态响应,并与理论计算结果进行对比,对比结果表明,Mtlaba分析结果是正确的。
     本课题为简化成梁模型的建筑物添加了补偿系统,并将实际地震波的激振数据输入所建立的模型,研究模型响应情况,通过分析结果来检验补偿系统减震耗能的效果。为了尽量减少补偿系统在建筑物中占据的面积和质量,采用进化优化方法搜索补偿系统参数的最优值,在降低建筑物成本的同时提高建筑物的抗震性能。
Research shows that:1.The beam system can be used as simple model instead of frame structure, with the same results but less data storage and time loss.2. Compensation system which is including mass, stiffness and damping has the effects of passive energy dissipation, so as to reduce the response of the earthquake.3. Data from real earthquake events insured the function of the compensators.4. Via Evolutionary Algorithm we get the results of the optimization, which inculding the mass, stiffness of the compensator.
     This new method of anti-seicmic structure analysis only stands on the bases of theory. In the future research on experiments will follow up. On the other hand, evolutionary optimization should be faster and precisely, in order to make the theoretical analysis perfectly.
引文
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