Claudio Sbarufatti 
- : Particle filter-based fatigue damage prognosis by fusing multiple degradation models. Dans: Structural Health Monitoring.
- (2023): Research on a quantitative fault diagnosis method for rotor rub-impact. Dans: Structural Health Monitoring, v. 23, n. 3 (septembre 2023).
- (2023): Qualification of distributed optical fiber sensors using probability of detection curves for delamination in composite laminates. Dans: Structural Health Monitoring, v. 22, n. 5 (février 2023).
- (2023): Debonding quantification in adhesive bonded joints by the inverse finite element method. Dans: Smart Materials and Structures, v. 32, n. 4 (2 mars 2023).
- (2022): Particle filter-based delamination shape prediction in composites subjected to fatigue loading. Dans: Structural Health Monitoring, v. 22, n. 3 (septembre 2022).
- (2022): Particle filter‐based hybrid damage prognosis considering measurement bias. Dans: Structural Control and Health Monitoring, v. 29, n. 4 (14 mars 2022).
- (2019): Modelling and Experimental Testing of Thick CFRP Composites Subjected to Low Velocity Impacts. Dans: Procedia Structural Integrity, v. 24 ( 2019).
- (2021): On the mitigation of the RAPID algorithm uneven sensing network issue employing averaging and Gaussian blur filtering techniques. Dans: Composite Structures, v. 278 (décembre 2021).
- (2020): Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter. Dans: Structural Health Monitoring, v. 20, n. 5 (décembre 2020).
- (2021): Damage diagnosis and prognosis in composite double cantilever beam coupons by particle filtering and surrogate modelling. Dans: Structural Health Monitoring, v. 20, n. 3 (janvier 2021).
- (2021): Comparison of strain pre-extrapolation techniques for shape and strain sensing by iFEM of a composite plate subjected to compression buckling. Dans: Composite Structures, v. 262 (avril 2021).
- (2020): Numerical and experimental verification of an inverse‐direct approach for load and strain monitoring in aeronautical structures. Dans: Structural Control and Health Monitoring, v. 28, n. 2 (octobre 2020).
- (2018): A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination. Dans: Composite Structures, v. 187 (mars 2018).
- (2020): Fatigue crack growth identification in bonded joints by using carbon nanotube doped adhesive films. Dans: Smart Materials and Structures, v. 29, n. 3 (27 janvier 2020).
- (2019): Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis. Dans: Structural Control and Health Monitoring, v. 26, n. 12 (12 novembre 2019).
- (2017): A particle filter-based model selection algorithm for fatigue damage identification on aeronautical structures. Dans: Structural Control and Health Monitoring, v. 24, n. 11 (novembre 2017).
- (2017): Optimization of an artificial neural network for fatigue damage identification using analysis of variance. Dans: Structural Control and Health Monitoring, v. 24, n. 9 (septembre 2017).
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