A new damage detection approach for beam-type structures based on the combination of continuous and discrete wavelet transforms

Gökdağ, Hakan; Kopmaz, Osman

doi:10.1016/j.jsv.2009.02.030

Cited by 51 publications

(19 citation statements)

References 17 publications

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“…Wavelet transform is a useful tool to extract information from many different kinds of data (Samant and Adeli, 2000, 2001; Zhou and Adeli, 2003a,b; Adeli and Kim, 2004, 2009; Bukkapatnam et al, 2005; Adeli et al, 2007, 2008; Ghosh‐Dastidar et al, 2007; Jiang et al, 2007; Zhong and Oyadiji, 2008; Pakrashi et al, 2009). Therefore, it has been employed by some researchers (Chang et al, 2003; Zhu and Law, 2006; Li et al, 2007; Grabowska et al, 2008; Bayissa et al, 2008; Gökdağ and Kopmaz, 2009; Umesha et al, 2009) to decompose modal shape of cracked structures to detect crack locations. The related method is called spatially wavelet transform (SWT) method.…”

Section: Introductionmentioning

confidence: 99%

Wavelet‐Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements

Xiang

Liang

2012

Computer aided Civil Eng

108

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When a structure is subjected to dynamic or static loads, cracks may develop and the modal shapes and frequencies of the cracked structure may change accordingly. Based on this, a new method is proposed to locate beam cracks and to estimate their depths. The fault‐induced modal shape and frequency changes of cracked structures are taken into account to construct a new hybrid crack detection method. The method includes two steps: crack localization and depth estimation. The locations of the cracks are determined by applying the wavelet transform to the modal shape. Using the measured natural frequencies as inputs, the depths of the cracks are estimated from a database established by wavelet finite element method. The effectiveness of the proposed hybrid two‐step method is demonstrated by numerical simulation and experimental investigation of a cantilever beam with two cracks. Our analyses also indicate that the proposed method performed reasonably well at certain level of noise.

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Section: Introductionmentioning

confidence: 99%

Wavelet‐Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements

Xiang

Liang

2012

Computer aided Civil Eng

108

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“…Combining the two aforesaid methods with optimization techniques with no differentiation results in a new method called neuro-fuzzy computing and soft calculation. Shu et al [25] used the dynamic response of the structure to offer a failure detection algorithm based on an artificial neural network. The finite element model of a railway steel bridge constructed in Abacus was used.…”

Section: Artificial Intelligence-based Methods and Evaluation Of Uncermentioning

confidence: 99%

Application of Artificial Intelligence and Meta-heuristic Algorithms in Civil Health Monitoring Systems

Doa’ei

Jahan

2018

CivileJournal

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After the discovery and manufacturing of every accomplishment, the mankind tends to make it sustainable in terms of different aspects that one of them can be its durability. Nowadays, a science titled “health monitoring” has provided such a consideration in different fields. For example, civil engineering sciences, in various branches, aim to construct various civil engineering accomplishments, followed by the higher goals of making them durable and healthy. The present study tries to give an account about the various study fields like structural engineering, bridge construction, dam construction, hydraulic and on-beach constructions, road engineering and building, water resources management and so on along with the mentioning of the various methods extant for the implementation of such study fields. But, in between, there is an appropriate method that provides such objectives as cost-effectiveness, access to the entire required details, awareness of the civil infrastructures in order to estimate the remained lifetime of the structure in line with the continuation and/or change of the uses. Also, it has high precision and minimally influenced by the environment, so, it can be said that it has very little error in its collection of information. For instance, this method can be used to evaluate the ruination of the structures based on modal properties, which can have static or dynamic foundations such that the current state of the structure is compared to its ideal state to monitor the degree of the structure’s ruination or its soundness. In present study, it was tried to investigate the artificial intelligence science as one of the richest methods possessing all the prerequisites as well as having more traits in common with the various sub-disciplines of civil engineering so that it can be utilized more comprehensively and in a more centralized manner.

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“…To overcome the problem of time-consuming testing, the authors of [31,32] proposed an oversampling of measured data by application of cubic spline interpolation. This technique was further used by the authors of [38,39,42]. However, the application of any kind of oversampling may result in masking of the important information about the damage condition.…”

Section: Damage Location Sampling Distance and Boundarymentioning

confidence: 99%

“…Probably the first application of this approach to SDI in composites was presented by Sung et al [41], where the authors used DWT for detection of low-velocity impact damage. Then, DWT-based approach has not been developed except the hybrid SDI algorithm of combination of CWT and DWT proposed by the authors of [42]. The first attempts in application of DWT-based algorithms were made by the author of this paper.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Damage Assessment of Composite Structures Based on Wavelet Analysis of Modal Curvatures: State-of-the-Art Review and Description of Wavelet-Based Damage Assessment Benchmark

Katunin

2015

Shock and Vibration

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The application of composite structures as elements of machines and vehicles working under various operational conditions causes degradation and occurrence of damage. Considering that composites are often used for responsible elements, for example, parts of aircrafts and other vehicles, it is extremely important to maintain them properly and detect, localize, and identify the damage occurring during their operation in possible early stage of its development. From a great variety of nondestructive testing methods developed to date, the vibration-based methods seem to be ones of the least expensive and simultaneously effective with appropriate processing of measurement data. Over the last decades a great popularity of vibration-based structural testing has been gained by wavelet analysis due to its high sensitivity to a damage. This paper presents an overview of results of numerous researchers working in the area of vibration-based damage assessment supported by the wavelet analysis and the detailed description of the Wavelet-based Structural Damage Assessment (WavStructDamAs) Benchmark, which summarizes the author’s 5-year research in this area. The benchmark covers example problems of damage identification in various composite structures with various damage types using numerous wavelet transforms and supporting tools. The benchmark is openly available and allows performing the analysis on the example problems as well as on its own problems using available analysis tools.

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A new damage detection approach for beam-type structures based on the combination of continuous and discrete wavelet transforms

Cited by 51 publications

References 17 publications

Wavelet‐Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements

Wavelet‐Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements

Application of Artificial Intelligence and Meta-heuristic Algorithms in Civil Health Monitoring Systems

Nondestructive Damage Assessment of Composite Structures Based on Wavelet Analysis of Modal Curvatures: State-of-the-Art Review and Description of Wavelet-Based Damage Assessment Benchmark

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