Abstract
Crack identification in multi-span beams is performed to determine whether the structure is healthy or not. Among all crack identification methods, these based on measured natural frequency changes present the advantage of simplicity and easy to use in practical engineering. To accurately identify the cracks characteristics for multi-span beam structure, a mathematical model is established, which can predict frequency changes for any boundary conditions, the intermediate supports being hinges. This relation is based on the modal strain energy concept. Since frequency changes are relative small, to obtain natural frequencies with high resolution, a signal processing algorithm based on superposing of numerous spectra is also proposed, which overcomes the disadvantage of Fast Fourier Transform in the aspect of frequency resolution. Based on above-mentioned mathematical model and signal processing algorithm, the method of identifying cracks on multi-span beams is presented. To verify the accuracy of this identification method, experimental examples are conducted on a two-span structure. The results demonstrate that the method proposed in this paper can accurately identify the crack position and depth.
Highlights
Home Search Collections Journals About Contact us My IOPscienceThis content has been downloaded from IOPscience. Please scroll down to see the full text. 2017 J
Even if beams with multiple supports are frequently used in practice, the research about such structures in the damaged state is not broadly present in the literature
The entire sequence Ψ is nominated as the Damage Signature (DS); it has the same meaning as the Damage Location Indicator (DLI) but is derived from experimental data
Summary
This content has been downloaded from IOPscience. Please scroll down to see the full text. 2017 J. Henry Hogo and Don Henderson A proposal application based on strain energy for damage detection and quantification of beam composite structure using vibration data S Tiachacht, A Bouazzouni, S Khatir et al Damage Detection based on the Natural Frequency shifting of a clamped rectangular plate model Irfan Hilmy, M M Abdel Wahab, Erry Yullian T Adesta et al Prediction of presence and severity of damages using experimental Mode Shape Rama Shanker, Suresh Bhalla and Ashok Gupta An experiment-based frequency sensitivity enhancing control approach for structuraldamage detection L J Jiang and K W Wang A Robust Poincare Maps Method for Damage Detection based on Single Type of Measurement Zhi-Bo Yang, Ya-Nan Wang, Hao Zuo et al Detecting anomalies in beams and plate based on the Hilbert–Huang transform ofreal signals S T Quek, P S Tua and Q Wang Assessment of Damage Detection in Composite Structures Using 3D Vibrometry S Grigg, M Pearson, R Marks et al Damage characterization with smart piezo transducers A S K Naidu and C K Soh. 12th International Conference on Damage Assessment of Structures IOP Conf.
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