Assessment of vibration-based damage identification techniques

By A. Alvandi, C. Cremona. 2006

484 citations recorded by the source corpus.

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Long-term monitoring of a PSC box girder bridge : operational modal analysis, data normalization and structural modification assessment. (2012, background): “Some other damage indicators can be built from the modal parameters (flexibilities, flexibility curvatures, modal curvatures, strain-energy ratios) that can enhance damage detection [3].”
A review of damage detection methods for wind turbine blades (2015, methodology): “Many structural monitoring and damage detection methods which are frequently investigated in the fields of civil and mechanical engineering are in absence (Alvandi and Cremona 2006, Worden et al 2007), especially finite element model based methods (Yuen et al 2006, Doliński and Krawczuk 2009).”
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications (2020, background): “A specific review of input/output identification techniques can be found in [72].”
Vibration-based monitoring of civil infrastructure: challenges and successes (2011, background): “…are available, including comprehensive evaluations by the team from Los Alamos Laboratories (Doebling et al., 1998), who reported the potential for techniques based on detecting nonlinear behaviour, along with some more recent contributions (Alvandi and Cremona, 2006; Carden and Fanning, 2004).”