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首页> 外文期刊>International journal of structural stability and dynamics >Identification of System Properties in a Square Frame Undergoing Large Deformations: Numerical and Experimental Investigations
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Identification of System Properties in a Square Frame Undergoing Large Deformations: Numerical and Experimental Investigations

机译：大变形方框架中系统特性的识别：数值和实验研究

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摘要

The aim of this paper is to highlight and identify the influencing parameters of the nonlinear behavior of highly deformable structures. Therefore, as an example, a large deformable square frame consisting of four slender members of equal length has been investigated experimentally. Based on highly resolving measurements using the digital image correlation method (DIC), the inverse problem of nonlinear system identification has been solved by an automatic parameter identification algorithm. For this purpose, a numerical model is set up with a beam finite element model using the absolute nodal coordinate formulation (ANCF), which enables the modeling of geometrical and possible material nonlinearities. The influencing parameters as well as the system properties have been determined by using a genetic optimization algorithm. The impact of the main influencing parameter is carved out by an included sensitivity study. The final model with automatically identified parameters shows high agreement with the experimental setup. With this approach the influences and nonlinearities, e.g. material parameters, rigid behavior, real boundary conditions, etc., come up to surface leading to a deeper understanding of the structural behavior of the system itself. Therefore, the present approach can be utilized for further investigations of nonstandard structures undergoing large deformations.
机译：本文的目的是强调和识别影响高度变形结构非线性行为的参数。因此，作为示例，已经对由四个等长的细长构件组成的大型可变形方形框架进行了实验研究。基于使用数字图像相关方法（DIC）的高分辨率测量，通过自动参数识别算法解决了非线性系统识别的反问题。为此，使用绝对节点坐标公式（ANCF）通过梁有限元模型建立数值模型，从而可以对几何形状和可能的材料非线性进行建模。已经通过使用遗传优化算法确定了影响参数以及系统属性。主要影响参数的影响通过包含的敏感性研究来确定。具有自动识别参数的最终模型与实验设置高度吻合。用这种方法的影响和非线性，例如材料参数，刚性行为，实际边界条件等都会浮出水面，从而可以更深入地了解系统本身的结构行为。因此，本方法可以用于对发生大变形的非标准结构的进一步研究。

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