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Damage detection in structures using natural frequency measurements

机译:使用固有频率测量来检测结构中的损伤

摘要

In the last two decades, the emphasis in aircraft maintenance has been on developing online structural health monitoring systems to replace conventional non destructive inspection techniques which require considerable down-time, human effort and cost. Vibration based damage detection is one of the most promising techniques for implementation in Structural Health Monitoring (SHM). In vibration based methods, the presence of damage is detected by monitoring changes in one of the dynamic parameters of the structure, resonant frequencies, modeshapes or damping characteristics. Compared to modeshape based methods, frequency based methods have the advantage that measurements need to be taken only at a single location. Previous developments on frequency based techniques have relied on Finite Element Model updating; analytical techniques have hitherto been restricted to beams due to the complexity in developing equations for cracked two dimensional structures. In this thesis the analytical approach using an energy formulation is extended to plates with through-thickness cracks, where modeshapes from either numerical modelling or experimental measurements can be employed to determine the energy of vibration. It is demonstrated that by using a hybrid approach, incorporating experimentally measured modeshapes along with measured changes in frequencies, the damage parameters can be estimated without resorting to theoretical modelling or numerical analysis. The inverse problem of finding the crack location, size and orientation from measured changes in frequencies is addressed using minimisation techniques. The forward problem and the inverse algorithm is first validated using numerical simulation and experimental testing of beams with edge cracks and centre cracks. The application of the methodology to the two dimensional case is then validated by numerical simulation and experimental modal analysis of plates with through thickness cracks. A statistical procedure is developed for determination of the 90/95 probability of crack detection and the minimum detectable crack size in both cases. It is demonstrated that the measurement of frequency changes can be successfully employed to detect and assess the location and size of cracks in beams and plates, using modeshapes from theory, Finite Element Analysis.
机译:在过去的二十年中,飞机维修的重点一直放在开发在线结构健康监测系统上,以取代需要大量停机时间,人工和成本的常规无损检查技术。基于振动的损坏检测是在结构健康监测(SHM)中最有前途的技术之一。在基于振动的方法中,通过监视结构的动力学参数,共振频率,振型或阻尼特性之一的变化来检测损坏的存在。与基于振型的方法相比,基于频率的方法具有以下优点:仅需在单个位置进行测量。以前基于频率的技术的发展依赖于有限元模型的更新。迄今为止,由于开裂二维结构方程式开发的复杂性,因此分析技术仅限于梁。在本文中,使用能量公式的分析方法扩展到具有贯穿厚度的裂纹的板,其中可以采用数值模型或实验测量的振型来确定振动能量。结果表明,通过使用混合方法,结合实验测量的模态形状和测量的频率变化,无需借助理论建模或数值分析就可以估算损伤参数。使用最小化技术解决了从测得的频率变化中找到裂纹位置,大小和方向的反问题。首先通过数值模拟和带有边缘裂纹和中心裂纹的梁的实验测试来验证正向问题和逆算法。然后通过数值模拟和具有贯穿厚度裂纹的板的实验模态分析验证了该方法在二维情况下的应用。开发了一种统计程序来确定两种情况下的90/95裂纹检测概率和最小可检测裂纹尺寸。结果表明,利用理论上的振型,有限元分析,可以成功地将频率变化的测量结果用于检测和评估梁和板上裂纹的位置和大小。

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