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USING INTELLIGENT GAS TO IDENTIFY LOCAL MODAL PARAMETERS OF LARGE COMPLEX STRUCTURE

机译:使用智能气体来识别大型复杂结构的局部模态参数

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A method is introduced to identify the local modal parameter of large complex structure, which update a finite element model to match experimental model analysis data. Using a model simplification technique in the parameter identification process, it is computational efficient and requires less storage space, which simplifies the product development cycle and bring down the design cost. Another key technique in this paper is the intelligent genetic algorithm, which include some strategies to improve search effect and efficiency. To show the identification process more clearly and vividly, all the identification techniques are discussed based on the local modal parameter identification of excavator working equipment. The result of the illustration shows the identification process is feasible and efficient, and the intelligent Gas is powerful.
机译:引入了一种方法来识别大型复杂结构的局部模态参数,其更新有限元模型以匹配实验模型分析数据。在参数识别过程中使用模型简化技术,它是计算高效,需要更少的存储空间,这简化了产品开发周期并降低了设计成本。本文的另一个关键技术是智能遗传算法,包括提高搜索效果和效率的一些策略。为了更清晰和生动地显示识别过程,所有识别技术都是基于挖掘机工作设备的局部模态参数识别来讨论的。该图示出的结果显示了识别过程是可行和有效的,智能气体是强大的。

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