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Damage Identification in Frame Structures Based on FE Model Updating

机译:基于有限元模型更新的框架结构损伤识别

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This paper proposed a practical damage detection method for frame structures based on finite element model-updating techniques. An objective function is defined as minimizing the discrepancies between the experimental and analytical modal parameters (namely, natural frequencies and mode shapes), which is set as a nonlinear least-squares problem with bound constraints. Unlike the commonly used line-search methods, the trust-region approach, a simple yet very powerful concept for minimization, is employed in order to make the optimization process more robust and reliable. Noting the objective function may sometimes be underdetermined for complex structures due to a relatively larger number of potential damaged elements, this paper attempts to propose a simple and convenient solution by expanding the original objective function. Moreover, the relative weighting scheme between different parts in the objective function is also investigated. One numerical two-story portal frame structure and two laboratory-tested frame structures, including a simple three-story steel frame structure and a more complex frame structure with bolted joints, are all adopted to evaluate the efficiency of the proposed technique. Some important issues about the application of the proposed method are also discussed in this paper.
机译:提出了一种基于有限元模型更新技术的框架结构损伤检测实用方法。目标函数定义为最小化实验和分析模态参数(即固有频率和模态形状)之间的差异,该参数设置为具有约束的非线性最小二乘问题。与常用的线搜索方法不同,采用信任区域方法(一种简单但非常强大的最小化概念),以使优化过程更稳定可靠。注意,由于潜在损坏元素的数量相对较大,有时复杂结构的目标函数可能不确定,因此本文尝试通过扩展原始目标函数来提出一种简单方便的解决方案。此外,还研究了目标函数中不同部分之间的相对加权方案。一种数值的两层门式框架结构和两种经过实验室测试的框架结构,包括一个简单的三层钢框架结构和一个更复杂的带有螺栓连接的框架结构,均被用来评估该技术的效率。本文还讨论了有关该方法应用的一些重要问题。

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