Damage Identification of RC Structures Using Wavelet Transformation

Abstract

Vibration based techniques are gaining popularity for damage detection, precise localization and damage quantification. These techniques involve recording of the vibration signatures and their analysis for temporal and spectral characteristics to arrive at conclusive statement. Among different damage identification techniques, most of the algorithms are model based approaches and lacks standardization and accuracy. In this paper, feasibility of using output-only model-free wavelet based techniques for damage identification of 6-storied scaled reinforced concrete (RC) building is studied. The vibration signals at different floor levels of the RC building were acquired using wireless accelerometers. The vibration measurements were carried out for different cases i.e. bare frame and varying mass at different floors. The signal discontinuity of the acceleration response of RC building was extracted using complex continuous Gaussian wavelet transformation and analysed. The results show that wavelet coefficients are directly influenced by the change in physical properties of structure and are able to detect damage to a reasonable extent.

Reliability of Wavelet Analysis of Mode Shapes for the Early Detection of Damage in Beams

“…Fan and Qiao (2009) demonstrate the application of a CWT-based damage detection algorithm on mode shapes for plate-type structures. Patel et al (2016) demonstrate the feasibility of using CWT for damage identification for a 6-story scaled reinforced concrete building using wireless accelerometers. Janeliukstis et al (2017a,b) discuss the efficiency of the continuous wavelet method for the identification of multiple damage zones on a numerically simulated aluminum beam.…”

Wo-Grid Method of Structural Analysis Based on Discrete Haar Basis. Part 1: One-Dimensional Problems

“…В числе основных направлений исследований можно указать следующие: решение задач статики сооружений [2][3][4][5][6][7][8][9]; решение задач устойчивости сооружений [2,3]; решение за-дач динамики сооружений [10][11][12]; развитие метода конечных элементов [13,14]; выявле-ние дефектов (зон разрушения, трещин и т.д.) в конструкциях, в том числе в рамках мониторинга состояния строительных кон-струкций, зданий и сооружений [15][16][17][18][19][20][21][22][23][24][25][26][27]; рас-чет связанных систем типа «сооружение -основание» [28]; развитие вероятностных методов в строительной механике и др. За-метим, что значительным успехом видятся достижения последних лет, касающиеся ис-пользования вейвлетов в численных и чис-ленно-аналитических методах решения раз-личных операторных уравнений, в том числе эллиптических уравнений в частных произ-водных, граничных интегральных уравне-ний, псевдодифференциальных уравнений и др., что представляется особенно важным, например, при решении задач теории упру-гости и пластичности (соответствующая по-дробная библиография приведена в [29]).…”

Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm

“…As one of the most commonly used damage indexes, the wavelet coefficient can be used not only as an index to identify local anomalies [19] but also as a component of the damage index [20,21]. e damage location can be directly reflected by a wavelet coefficient graph [22,23], which makes the damage location more intuitive. In addition, wavelet transform is used to process the modal data of damaged structures, and the difference with the damage approximate function is calculated to obtain the structural damage location [24].…”