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Experimental validation of an ambient vibration-based multiple damage identification method using statistical modal filtering

机译:基于统计模态滤波的基于环境振动的多损伤识别方法的实验验证

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摘要

For civil engineering structures, ambient vibration tests are preferred over forced vibration ones because the artificially excitation of large structures having low natural frequencies is quite difficult and expensive. In the ambient vibration tests, operation disturbances can be avoided and the measured response is representative of the actual operating conditions of the structures which vibrate due to natural excitation. The proposed damage identification method is intended for moderate degrees of damage and requires vibration data relative to the current and reference states of the structure as well as a parametric finite element model. It is based on a residual generated from a modal filtering approach by the calculation of the error between the measurements at the current state and their projections onto the incomplete modal basis of the structure as identified at reference state. To detect and locate damage, the residual is evaluated by means of global, sensitivity and rejection tests, modified to allow only physically feasible simple and multiple damage scenarios. The mean of the residual, which turns out to be normally distributed, is used in the final phase of damage quantification. The proposed damage diagnosis method is validated experimentally via ambient vibration tests conducted on full-scale reinforced concrete beams and slabs which contain various simple and multiple damage configurations. With damage expressed in terms of loss of flexural stiffness, the damage detection, localization and quantification are found to be successful for degrees of damage less than about 28% of the initial flexural stiffness of the tested specimens. The exception is that, for multiple damage scenarios, the relative quantification errors may be unacceptable in locations where poor accuracy is expected.
机译:对于土木工程结构,环境振动测试优于强制振动测试,因为人为激发具有低固有频率的大型结构非常困难且昂贵。在环境振动测试中,可以避免操作干扰,并且测得的响应代表了由于自然激励而振动的结构的实际操作条件。提出的损伤识别方法旨在中等程度的损伤,并且需要相对于结构的当前状态和参考状态的振动数据以及参数化有限元模型。它基于模态滤波方法生成的残差,该残差是通过计算当前状态下的测量值与其在参考状态下标识的结构的不完全模态基础上的投影之间的误差来计算的。为了检测和定位损坏,通过整体测试,敏感性测试和剔除测试对残差进行评估,并对其进行修改以仅允许在物理上可行的简单和多种损坏情况。残差的平均值被证明是正态分布的,用于损伤定量的最后阶段。通过对包含各种简单和多种损伤配置的全尺寸钢筋混凝土梁和楼板进行的环境振动测试,通过实验对提出的损伤诊断方法进行了验证。用以抗弯刚度损失表示的损伤,发现损伤检测,定位和量化对于损伤程度小于被测样品的初始抗弯刚度的约28%是成功的。唯一的例外是,对于多种损坏情况,在预期精度较差的位置,相对定量误差可能是不可接受的。

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