基于经验遗传-单纯形算法和结构物理响应识别结构物理参数的方法

    An Algorithm for Identifying Structural Physical Parameters

    • 摘要: 对于复杂的大自由度系统的反演分析,遗传算法每步计算中包含大量的正演分析,成为限制遗传算法运行速度的瓶颈.减少反演分析中的正演计算次数,是扩大遗传算法适用范围的有效途径.经验遗传-单纯形算法正是解决这一问题的有效方法.将该方法应用于时间域实测结构部分的物理响应来识别结构物理参数.结果表明,该方法精度高、搜索效率高、抗噪能力强、对不完全信息情况有很好的适应性.

       

      Abstract: In the complex conversion analysis for multi-degrees of freedom, there are large calculation counts in every calculation step of Genetic Algorithm which limit the running speed of genetic algorithm.So to reduce the positive calculation counts is an effective method to enlarge the range of GA's application.Empirical Genetic-simplex Algorithm is one of the effective methods to solve the problem.In this paper, Empirical Genetic-Simplex Algorithm is applied to structural physical parameters identification based on the dynamic response conditions and incomplete modal parameters.The result shown that Empirical Genetic-Simplex Algorithm has advantages of precision, efficiency in searching, of being strong to resist the noise, and it is good adapting to the incomplete information.

       

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