Damage assessment using flexibility and flexibility-based curvature for structural health monitoring
Damage assessment using flexibility and flexibility-based curvature for structural health monitoring
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DOI：
10.1088/0964-1726/17/01/015024
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发表时间：
2008-02-01
影响因子：
4.1
通讯作者：
Burkett, J. L.
中科院分区：
文献类型：
--
作者：
Catbas, F. N.;Gul, M.;Burkett, J. L.
由于传感器、信息技术和材料科学的最新进展，在智能基础设施领域进行了大量研究。虽然智能基础设施有许多重要组成部分，但自动化和连续的结构健康监测（SHM）系统是关键组成部分。SHM通常用于跟踪和评估结构的性能、操作事件的症状、常规操作期间以及极端事件后由于恶化和损坏而导致的异常。成功的健康监测应用可以通过将实验、分析和信息技术集成到实际运行的结构上来实现。然而，现实生活中的调查必须得到实验室基准研究的支持，以验证理论，概念和新技术。为此，开发了一个物理桥梁模型来实施SHM方法和技术。在这项研究中，模型开发的不同方面概述了设计考虑，仪器，有限元建模和模拟损坏的情况。不同的损伤检测方法进行了评估，使用的数值和物理模型。模态参数估计的研究进行可靠地识别的特征值，特征向量和模态标度的测量数据。为了评估模拟损伤，模态柔度为基础的位移和曲率。损伤后的结构行为进行评估，通过检查使用模态柔度获得的偏转形状。更局部化的损伤模拟，如刚度降低在关节产生一个非常微妙的刚度下降。在这种情况下，作者使用基线来识别损坏，并研究使用曲率作为补充指标。曲率对于位移结果不提供实质性变化的某些情况是有利的。还讨论了使用曲率作为损伤识别指标的相关问题。
As a result of the recent advances in sensors, information technologies and material science, a considerable amount of research has been conducted in the area of smart infrastructures. While there are many important components of a smart infrastructure, an automated and continuous structural health monitoring (SHM) system is a critical one. SHM is typically used to track and evaluate the performance of a structure, symptoms of operational incidents, anomalies due to deterioration and damage during regular operation as well as after an extreme event. Successful health monitoring applications can be achieved by integrating experimental, analytical and information technologies on real-life operating structures. However, real-life investigations must be backed up by laboratory benchmark studies for validating theory, concepts, and new technologies. For this reason, a physical bridge model is developed to implement SHM methods and technologies. In this study, different aspects of model development are outlined in terms of design considerations, instrumentation, finite element modeling, and simulating damage scenarios. Different damage detection methods are evaluated using the numerical and the physical models. Modal parameter estimation studies are carried out to reliably identify the eigenvalues, eigenvectors and modal scaling from the measurement data. To assess the simulated damage, modal flexibility-based displacements and curvatures are employed. Structural behavior after damage is evaluated by inspecting the deflected shapes obtained using modal flexibility. More localized damage simulations such as stiffness reduction at a joint yield a very subtle stiffness decrease. In this case, the writers use a baseline to identify damage and also investigate the use of curvature as a complementary index. Curvature is advantageous for certain cases where the displacement results do not provide substantial changes. Issues related to using curvature as a damage identification index are also addressed.