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DATA ANALYSIS CHALLENGES IN STRUCTURAL HEALTH ASSESSMENT USING MEASURED DYNAMIC RESPONSES

机译:使用测量的动态响应进行结构健康评估的数据分析挑战

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摘要

The authors and their research team developed several nondestructive inspection-based structural health assessment and monitoring procedures to detect defect at the local element level, representing structures by finite elements. They are based on time domain nonlinear system identification-based concept. By tracking changes in the identified system parameters of the elements, the location and severity of defect can be assessed. To increase their implementation potential, only limited numbers of very short durations measured noise-contaminated acceleration time-histories are used in the identification algorithms. Numerous multi-disciplinary advanced data processing schemes used in developing these algorithms are briefly discussed. Presence of uncertainties in data processing and mitigation strategies are emphasized.
机译:作者及其研究团队开发了几种基于非破坏性检查的结构健康评估和监控程序,以在局部元素级别检测缺陷,以有限元素表示结构。它们基于时域非线性系统识别的概念。通过跟踪已识别的元素系统参数的变化,可以评估缺陷的位置和严重性。为了增加其实现潜力,在识别算法中仅使用有限数量的非常短的持续时间测量的受噪声污染的加速时间历史记录。简要讨论了用于开发这些算法的众多多学科高级数据处理方案。强调数据处理和缓解策略中存在不确定性。

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