2003
DOI: 10.1016/s0045-7949(03)00318-3
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Damage detection using generic elements: Part II. Damage detection

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Cited by 30 publications
(17 citation statements)
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“…Other damage detection methods are based on finite element model updating [7,[34][35][36], genetic algorithms [37][38][39][40][41], neural networks [4,[42][43][44], and bees algorithm [45]. An overview of damage detection methods can be found in [46,47].…”
Section: Introductionmentioning
confidence: 99%
“…Other damage detection methods are based on finite element model updating [7,[34][35][36], genetic algorithms [37][38][39][40][41], neural networks [4,[42][43][44], and bees algorithm [45]. An overview of damage detection methods can be found in [46,47].…”
Section: Introductionmentioning
confidence: 99%
“…Structural model updating is crucial for obtaining accurate models when the measured structural responses are available. In addition, structural model updating is widely applied for damage detection [1][2][3][4][5][6] and structural health monitoring [7][8][9][10][11]. The methods for model updating can be categorized into deterministic and probabilistic methods.…”
Section: Introductionmentioning
confidence: 99%
“…Parloo et al [15] developed a non-FEM sensitivity-based damage localization technique using differences between the damaged and undamaged mode shapes. Differences between measured modal quantities of the damaged and undamaged structure were also used in the damage detection approach using generic elements proposed by Titurus et al [16,17]. All these methods are based on the fact that any error in the undamaged structure will be also present in the damaged structure and, therefore, will be removed.…”
Section: Introductionmentioning
confidence: 99%