2002
DOI: 10.1016/s0168-874x(01)00084-1
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Application of spectral beam finite element with a crack and iterative search technique for damage detection

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Cited by 115 publications
(71 citation statements)
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“…Ruotolo and Surace (1997) propose a solution procedure employing a genetic algorithm and the results of the finite element model for the detection of multiple cracks in beams. Krawczuk (2002) uses the wave propagation approach combined with an iterative searching strategy including two methods for damage detection in beam-like structures. This paper presents simplified methods for determining natural frequency drops due to the multiple cracks in beams and a methodology for identifying location and depth ratio parameters of the cracks.…”
Section: Latin American Journal Of Solids and Structures 12 (2015) 24mentioning
confidence: 99%
“…Ruotolo and Surace (1997) propose a solution procedure employing a genetic algorithm and the results of the finite element model for the detection of multiple cracks in beams. Krawczuk (2002) uses the wave propagation approach combined with an iterative searching strategy including two methods for damage detection in beam-like structures. This paper presents simplified methods for determining natural frequency drops due to the multiple cracks in beams and a methodology for identifying location and depth ratio parameters of the cracks.…”
Section: Latin American Journal Of Solids and Structures 12 (2015) 24mentioning
confidence: 99%
“…Optimization approach [29][30][31][32] minimizes the discrepancy between the numerically predicted structural responses and the measured data by altering the damage parameters of a pre-defined model in order to determine the location and severity of the damage in the structure being tested.…”
Section: Damage Identification Using Guided Wavesmentioning
confidence: 99%
“…The spectral amplitude was employed for damage identification [29,30]. The continuous Fourier transform of a guided wave signal ( ) u t is defined as …”
Section: Fourier Transformmentioning
confidence: 99%
“…For beam structures, Jiang et al [10] used the time-of-flight difference between the healthy and damaged condition of a beam to identify the damage location, and then identified the damage severity from a power consumption metric defined in the frequency domain. Krawczuk [11] used a genetic algorithm gradient technique to identify a crack in a beam, in which the crack was modelled as a dimensionless spring. Li et al [12] employed continuous wavelet transform to extract the reflected and transmitted flexural waves from a crack for damage identification, and Liew and Veidt [13] applied wavelet decomposition and artificial neural network based pattern recognition techniques to characterise laminar damage in beam structures.…”
Section: Introductionmentioning
confidence: 99%