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Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme (2019)
Journal Article
Yan, W. J., Chronopoulos, D., Papadimitriou, C., Cantero-Chinchilla, S., & Zhu, G. S. (2020). Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme. Journal of Sound and Vibration, 468, Article 115083. https://doi.org/10.1016/j.jsv.2019.115083

Ultrasonic Guided Waves (GW) actuated by piezoelectric transducers installed on structures have proven to be sensitive to small structural defects, with acquired scattering signatures being dependent on the damage type. This study presents a generic... Read More about Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme.

An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly (2019)
Journal Article
Yan, W., Papadimitriou, C., Katafygiotis, L. S., & Chronopoulos, D. (2020). An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly. Mechanical Systems and Signal Processing, 135, Article 106376. https://doi.org/10.1016/j.ymssp.2019.106376

Assembling local mode shapes identified from multiple setups to form global mode shapes is of practical importance when the degrees of freedom (dofs) of interest are measured separately in individual setups or when one expects to exploit the computat... Read More about An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly.