Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform

Zhong, Shuncong; Oyadiji, S. Olutunde

doi:10.1016/j.ymssp.2006.07.007

Cited by 102 publications

(59 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Kim and Sohn [137] developed a guided-wave-based nondestructive testing to detect crack damage in a thin metal structure without using prior baseline data. Zhong and Oyadiji [138,139] presented a crack detection method based on finding the difference between two sets of detail coefficients obtained by using the wavelet transform of two sets of mode shape data of a cracked beam. Rucevskis et al [140] described a method that requires only the mode shape curvature data of the damaged plate-like structures, in which the damage index is defined as the absolute difference between the measured curvature of the damaged structure and the smoothed polynomial representing the curvature of the healthy structure.…”

Section: Mapping Model and Meta-modelmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

View full text Add to dashboard Cite

Abstract:Research on detecting structural damage at the earliest possible stage has been an interesting topic for decades. Among them, the vibration-based damage detection method as a global technique is especially pervasive. The present study reviewed the state-of-the-art on the framework of vibration-based damage identification in different levels including the prediction of the remaining useful life of structures and the decision making for proper actions. This framework consists of several major parts including the detection of damage occurrence using response-based methods, building reasonable structural models, selecting damage parameters and constructing objective functions with sensitivity analysis, adopting optimization techniques to solve the problem, predicting the remaining useful life of structures, and making decisions for the next actions. For each part, the commonly used methods were reviewed and the merits and drawbacks were summarized to give recommendations. This framework is aimed to guide the researchers and engineers to implement step by step the structure damage identification using vibration measurements. Finally, the future research work in this field is recommended.

show abstract

Section: Mapping Model and Meta-modelmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

View full text Add to dashboard Cite

show abstract

“…Moreover, an additional condition imposes equilibrium between the transmitted bending moment and the rotation of the spring representing the crack. Consequently, the continuity conditions in dimensionless form are 6,8 …”

Section: The Adm For a Cracked Beammentioning

confidence: 99%

“…The application of 1-D and 2-D wavelet transform methods to displacement mode shape for damage detection of beam and plate structures have also been extensively investigated. 8,9 Ratcliffe, et al 10,11 proposed the gapped smoothing method (GSM) and the global fitting method (GFM) for damage detection. The GSM and GFM do not require data from the undamaged structure.…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis of Cracked Beams Using Adomian Decomposition Method and Non-Baseline Damage Detection via High-Pass Filters

Mao¹

2016

IJAV

View full text Add to dashboard Cite

The Adomian decomposition method (ADM) and high-pass filters are employed in this study to investigate the free vibrations and damage detection of cracked Euler-Bernoulli beams. Based on the ADM and employing some simple mathematical operations, the closed-form series solution of the mode shapes can be determined for beams consisting of an arbitrary number of cracks under general boundary conditions in a recursive way. Then, a highpass filter is used to extract the irregularity profile from the corresponding mode shape. The location and size of the cracks in the beam can be determined by the peak value of the irregularity profile. The numerical results for different locations and depths of cracks on the damaged beam under different boundary conditions are presented. The results show that the proposed method is effective and accurate. The experimental work for aluminium cantilever beams with one and two cracks was performed to verify the proposed method. The successful detection of cracks in the beam demonstrates that the proposed method has great potential in crack detection of beam-type structures, as it is simple and does not require the mode shapes of an uncracked beam as a baseline.

show abstract

“…Zhong and Oyadiji [49] proposed a crack detection algorithm in symmetric beam-like structures based on stationary wavelet transform (SWT) of mode shape data. Two sets of mode shape data, which constitute two new signal series, are, respectively, obtained from the left half and reconstructed right half of modal displacement data of a damaged simply supported beam.…”

Section: Mode Shape Analysis Using Modern Signalmentioning

confidence: 99%

Vibration-based Damage Identification Methods: A Review and Comparative Study

Fan

Qiao

2010

Structural Health Monitoring

1,592

215

View full text Add to dashboard Cite

A comprehensive review on modal parameter-based damage identification methods for beam-or plate-type structures is presented, and the damage identification algorithms in terms of signal processing are particularly emphasized. Based on the vibration features, the damage identification methods are classified into four major categories: natural frequency-based methods, mode shape-based methods, curvature mode shape-based methods, and methods using both mode shapes and frequencies, and their merits and drawbacks are discussed. It is observed that most mode shape-based and curvature mode shape-based methods only focus on damage localization. In order to precisely locate the damage, the mode shape-based methods have to rely on optimization algorithms or signal processing techniques; while the curvature mode shape-based methods are in general a very effective type of damage localization algorithms. As an implementation, a comparative study of five extensively-used damage detection algorithms for beam-type structures is conducted to evaluate and demonstrate the validity and effectiveness of the signal processing algorithms. This brief review aims to help the readers in identifying starting points for research in vibration-based damage identification and structural health monitoring and guides researchers and practitioners in better implementing available damage identification algorithms and signal processing methods for beam-or plate-type structures.

show abstract

Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform

Cited by 102 publications

References 32 publications

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

Vibration Analysis of Cracked Beams Using Adomian Decomposition Method and Non-Baseline Damage Detection via High-Pass Filters

Vibration-based Damage Identification Methods: A Review and Comparative Study

Contact Info

Product

Resources

About