2012
DOI: 10.1016/j.ijnonlinmec.2011.07.011
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A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization

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Cited by 235 publications
(122 citation statements)
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“…In practical measurements vibration data of structures, it is often impossible to avoid the presence of noise in the measurement and it is widely recognized that the natural frequencies are least contaminated by measurement noise and can generally be measured with good accuracy. As it was reported in [22], the frequencies and mode shapes most likely to be contaminated by measurement noise with a standard error of 0.15% and 3% for the modal frequencies and mode shapes, respectively. In this example, the same level of noise for frequency and mode shape is also used for both cases of damage.…”
Section: Cantilevered Beammentioning
confidence: 71%
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“…In practical measurements vibration data of structures, it is often impossible to avoid the presence of noise in the measurement and it is widely recognized that the natural frequencies are least contaminated by measurement noise and can generally be measured with good accuracy. As it was reported in [22], the frequencies and mode shapes most likely to be contaminated by measurement noise with a standard error of 0.15% and 3% for the modal frequencies and mode shapes, respectively. In this example, the same level of noise for frequency and mode shape is also used for both cases of damage.…”
Section: Cantilevered Beammentioning
confidence: 71%
“…Consequently, we propose nei as a new indicator using strain energy of elements to pinpoint the damage locations. The procedure used to establish the indicator is based on reference [22] in which the modal strain energy is handled as a damage location method. The modal strain energy of an element corresponding to a mode shape can be presented as follows [22] …”
Section: Formulation Of Normalized Energy Index In DLV Methodsmentioning
confidence: 99%
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“…Kinetics modeling, including loss factor and nature frequency, is a key issue [3]. In recent years, many researchers have investigated the kinetics parameters of damping structures [4][5][6][7][8]. However, viscoelastic dynamic performance is difficult to precisely predict owing to the complex stiffness matrix of viscoelastic structures.…”
Section: Introductionmentioning
confidence: 99%
“…And with the fast development of computation, more attention was paid in algorithm these years. Neural network was among the first to be adopted to identified damage [9,10], and therefore others heuristic algorithm such as genetic algorithm (GA) [11], particle swarm optimization (PSO) [12] and artificial bee colony (ABC) [13] are proved to the available in damage identification.…”
Section: Introductionmentioning
confidence: 99%