C. Sbarufatti

发表

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

F. Cadini, C. Sbarufatti, F. Cancelliere, 2019, Applied Energy.

Compression after impact test (CAI) on NOMEX™ honeycomb sandwich panels with thin aluminum skins

Claudio Sbarufatti, Marco Giglio, Andrea Gilioli, 2014 .

Comparison of strain pre-extrapolation techniques for shape and strain sensing by iFEM of a composite plate subjected to compression buckling

C. Sbarufatti, M. Giglio, L. Colombo, 2021 .

A combined framework for automated diagnosis and prognosis of structures based on surrogate modelling and a particle filter

F. Cadini, C. Sbarufatti, M. Giglio, 2018 .

On Dynamic State-Space models for fatigue-induced structural degradation

Matteo Corbetta, Claudio Sbarufatti, Marco Giglio, 2014 .

Modelling and Experimental Testing of Thick CFRP Composites Subjected to Low Velocity Impacts

C. Sbarufatti, M. Giglio, A. Manes, 2019, Procedia Structural Integrity.

Model-Based Fatigue Prognosis of Fiber-Reinforced Laminates Exhibiting Concurrent Damage Mechanisms

Kai Goebel, Matteo Corbetta, Claudio Sbarufatti, 2016 .

Optimal tuning of particle filtering random noise for monotonic degradation processes

C. Sbarufatti, M. Giglio, Matteo Corbetta, 2016 .

Sequential Monte Carlo sampling for crack growth prediction providing for several uncertainties

Matteo Corbetta, Claudio Sbarufatti, C. Sbarufatti, 2014 .

Numerical study of static and dynamic fracture behaviours of neat epoxy resin

C. Sbarufatti, M. Giglio, Aliyar Esmaeili, 2020 .

A Data-Driven Particle Filter For Lithium-Ion Batteries State-Of-Life Prognosis

F. Cadini, C. Sbarufatti, F. Cancelliere, 2018 .

Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter

F. Cadini, C. Sbarufatti, M. Giglio, 2020, Structural Health Monitoring.

Complex Geometry Strain Sensors Based on 3D Printed Nanocomposites: Spring, Three-Column Device and Footstep-Sensing Platform

S. G. Prolongo, C. Sbarufatti, A. Esmaeili, 2021, Nanomaterials.

MPORTANCE S AMPLING BASED ON A COMMITTEE OF A RTIFICIAL N EURAL N ETWORKS FOR POSTERIOR HEALTH CONDITION ESTIMATION

C. Sbarufatti, 2015 .

On the Evaluation of a Coupled Sequential Approach for Rotorcraft Landing Simulation

Demetrio Cristiani, Luca Colombo, Wojciech Zielinski, 2020, Sensors.

Experimental Validation of a Computational Hybrid Methodology to Estimate Fuselage Damage Due to Harsh Landing

Claudio Sbarufatti, Marco Giglio, Marco Giglio, 2016 .

On the mechanical response of CFRP composite with embedded optical fibre when subjected to low velocity impact and CAI tests

Claudio Sbarufatti, Marco Giglio, Krzysztof Dragan, 2017 .

Strain-based delamination prediction in fatigue loaded CFRP coupon specimens by deep learning and static loading data

C. Sbarufatti, M. Giglio, D. Zarouchas, 2022, Composites Part B: Engineering.

Investigation of Mechanical Properties of MWCNTs Doped Epoxy Nanocomposites in Tensile, Fracture and Impact Tests

C. Sbarufatti, A. Esmaeili, A. Hamouda, 2020 .

Anti-icing and de-icing coatings based Joule's heating of graphene nanoplatelets

S. G. Prolongo, C. Sbarufatti, M. Giglio, 2018, Composites Science and Technology.

Damage diagnosis and prognosis in composite double cantilever beam coupons by particle filtering and surrogate modelling

C. Sbarufatti, M. Giglio, Demetrio Cristiani, 2020 .

Load adaptive baseline by inverse Finite Element Method for structural damage identification

C. Sbarufatti, M. Giglio, L. Colombo, 2018 .

Self-sensing of CNT-Doped GFRP Panels During Impact and Compression After Impact Tests

C. Sbarufatti, D. Scaccabarozzi, A. Ureña, 2021 .

A Model-Based SHM Strategy for Gears—Development of a Hybrid FEM-Analytical Approach to Investigate the Effects of Surface Fatigue on the Vibrational Spectra of a Back-to-Back Test Rig

C. Sbarufatti, F. Concli, Ludovico Pierri, 2021, Applied Sciences.

Piezoresistive characterization of epoxy based nanocomposites loaded with SWCNTs‐DWCNTs in tensile and fracture tests

C. Sbarufatti, A. Esmaeili, A. Hamouda, 2020 .

Qualification of distributed optical fiber sensors using probability of detection curves for delamination in composite laminates

C. Sbarufatti, D. Zarouchas, R. Di Sante, 2022, Structural Health Monitoring.

A comparative study of the incorporation effect of SWCNT-OH and DWCNT with varied microstructural defects on tensile and impact strengths of epoxy based nanocomposite

C. Sbarufatti, A. Esmaeili, A. Hamouda, 2020, Journal of Polymer Research.

A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination

Kai Goebel, Matteo Corbetta, Claudio Sbarufatti, 2018 .

Stochastic Definition of State-Space Equation for Particle Filtering Algorithms

Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, 2013 .

Sequential Monte-Carlo sampling based on a committee of artificial neural networks for posterior state estimation and residual lifetime prediction

Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, 2016 .

Characteristics of Intermetallic Compounds in Dissimilar Friction Stir Welding: A Review

C. Sbarufatti, A. Esmaeili, A. Hamouda, 2019, Metallography, Microstructure, and Analysis.

Strain and crack growth sensing capability of SWCNT reinforced epoxy in tensile and mode I fracture tests

C. Sbarufatti, A. Esmaeili, A. Ureña, 2020 .

Coupled health monitoring system for CNT-doped self-sensing composites

Seunghwa Ryu, C. Sbarufatti, D. Scaccabarozzi, 2020 .

An experimental and numerical investigation of highly strong and tough epoxy based nanocomposite by addition of MWCNTs: Tensile and mode I fracture tests

C. Sbarufatti, A. Esmaeili, A. Ureña, 2020 .

Optimization of an artificial neural network for fatigue damage identification using analysis of variance

Claudio Sbarufatti, C. Sbarufatti, 2017 .

Surrogate modelling for observation likelihood calculation in a particle filter framework for automated diagnosis and prognosis

C Sbarufatti, F Cadini, A Locatelli, 2018 .

Analytical model of the dynamic behaviour of CFRP plates subjected to low-velocity impacts

C. Sbarufatti, M. Giglio, A. Manes, 2018, Composites Part B: Engineering.

Real-Time Prognosis of Crack Growth Evolution Using Sequential Monte Carlo Methods and Statistical Model Parameters

Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, 2015, IEEE Transactions on Reliability.

Enhanced tensile strength, fracture toughness and piezoresistive performances of CNT based epoxy nanocomposites using toroidal stirring assisted ultra-sonication

C. Sbarufatti, A. Esmaeili, A. Ureña, 2021, Mechanics of Advanced Materials and Structures.

Effective addition of nanoclay in enhancement of mechanical and electromechanical properties of SWCNT reinforced epoxy: Strain sensing and crack-induced piezoresistivity

C. Sbarufatti, A. Esmaeili, A. Hamouda, 2020 .

Sequential Importance Sampling Based on a Committee of Artificial Neural Networks for Posterior Health Condition Estimation

Claudio Sbarufatti, C. Sbarufatti, 2014 .

Experimental and numerical investigations of low velocity impact on sandwich panels

Claudio Sbarufatti, Marco Giglio, Andrea Gilioli, 2013 .

Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method

C. Sbarufatti, M. Giglio, D. Oboe, 2023, Sensors.

A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network

Keith Worden, Graeme Manson, Claudio Sbarufatti, 2014 .

A particle filter‐based model selection algorithm for fatigue damage identification on aeronautical structures

Francesco Cadini, Matteo Corbetta, Claudio Sbarufatti, 2017 .

Fatigue crack growth identification in bonded joints by using carbon nanotube doped adhesive films

C. Sbarufatti, D. Scaccabarozzi, A. Güemes, 2020, Smart Materials and Structures.

Definition of a load adaptive baseline by inverse finite element method for structural damage identification

Claudio Sbarufatti, Marco Giglio, Luca Colombo, 2019, Mechanical Systems and Signal Processing.

An interactive damage progression model for cross-ply laminates subject to fatigue load cycles

C. Sbarufatti, M. Giglio, Demetrio Cristiani, 2021, Composites Part A: Applied Science and Manufacturing.

Robust Identification of Strain Waves due to Low-Velocity Impact with Different Impactor Stiffness

Francesco Cadini, Claudio Sbarufatti, Marco Giglio, 2019, Sensors.

Impact induced strain wave detection using a robust feature extraction method

C. Sbarufatti, K. Dragan, A. Beligni, 2018 .

Synergistic effects of double-walled carbon nanotubes and nanoclays on mechanical, electrical and piezoresistive properties of epoxy based nanocomposites

C. Sbarufatti, A. Esmaeili, A. Ureña, 2020 .

A preliminary study on self sensing composite structures with carbon nanotubes

C. Sbarufatti, D. Scaccabarozzi, A. Ureña, 2017, 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace).

Causal dilated convolutional neural networks for automatic inspection of ultrasonic signals in non-destructive evaluation and structural health monitoring

Stefano Mariani, Claudio Sbarufatti, Quentin Rendu, 2021, Mechanical Systems and Signal Processing.

Particle filter‐based hybrid damage prognosis considering measurement bias

F. Cadini, C. Sbarufatti, S. Yuan, 2021, Structural Control and Health Monitoring.

Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks

Francesco Cadini, Matteo Corbetta, Claudio Sbarufatti, 2017 .

Continuous Crack Growth Monitoring and Residual Life Prediction under Variable-amplitude Loading Conditions

Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, 2014 .

On the performance of a cointegration-based approach for novelty detection in realistic fatigue crack growth scenarios

Keith Worden, Matteo Corbetta, Claudio Sbarufatti, 2019, Mechanical Systems and Signal Processing.

Performance optimization of a diagnostic system based upon a simulated strain field for fatigue damage characterization

Claudio Sbarufatti, Andrea Manes, Marco Giglio, 2013 .

Title: On the Dynamic Acquisition of Electrical Signals for Structural Health Monitoring of Carbon Nanotube Doped Composites Authors:

C. Sbarufatti, D. Scaccabarozzi, A. Güemes, 2017 .

Analysis of a Helicopter Main Gearbox by means of Numerical Modelling approach

C. Sbarufatti, M. Giglio, A. Manes, 2017 .

Experimental and Numerical Study of the Influence of Pre-Existing Impact Damage on the Low-Velocity Impact Response of CFRP Panels

C. Sbarufatti, S. Amico, A. Manes, 2023, Materials.

Towards Automatic Crack Size Estimation with iFEM for Structural Health Monitoring

C. Sbarufatti, M. Giglio, D. Oboe, 2023, Sensors.

Analytical Model to Describe Damage in CFRP Specimen When Subjected to Low Velocity Impacts

Claudio Sbarufatti, Marco Giglio, Krzysztof Dragan, 2016 .

Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions

Francesco Cadini, Claudio Sbarufatti, Marco Giglio, 2021 .

Towards a stochastic inverse Finite Element Method: A Gaussian Process strain extrapolation

C. Sbarufatti, M. Giglio, D. Oboe, 2023, Mechanical Systems and Signal Processing.

Shape Sensing of a Complex Aeronautical Structure with Inverse Finite Element Method

Claudio Sbarufatti, Marco Giglio, Luca Colombo, 2021, Sensors.

Application of sensor technologies for local and distributed structural health monitoring

Claudio Sbarufatti, Andrea Manes, Marco Giglio, 2014 .

Dual crack growth prognosis by using a mixture proposal particle filter and on-line crack monitoring

Shenfang Yuan, Claudio Sbarufatti, Jian Chen, 2021, Reliab. Eng. Syst. Saf..

Neutralization of temperature effects in damage diagnosis of MDOF systems by combinations of autoencoders and particle filters

F. Cadini, C. Sbarufatti, M. Giglio, 2022 .

Numerical simulation-aided particle filter-based damage prognosis using Lamb waves

F. Cadini, C. Sbarufatti, S. Yuan, 2022, Mechanical Systems and Signal Processing.

Generating High-Resolution Flight Parameters in Structural Digital Twins Using Deep Learning-based Upsampling

C. Sbarufatti, M. Giglio, Leiting Dong, 2023, 2023 Prognostics and Health Management Conference (PHM).

Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis

Francesco Cadini, Matteo Corbetta, Claudio Sbarufatti, 2019, Structural Control and Health Monitoring.

Optimization of nonlinear, non-Gaussian Bayesian filtering for diagnosis and prognosis of monotonic degradation processes

Matteo Corbetta, Claudio Sbarufatti, Marco Giglio, 2018 .

Particle filter-based delamination shape prediction in composites subjected to fatigue loading

F. Cadini, C. Sbarufatti, J. Chiachío, 2022, Structural Health Monitoring.

Numerical and experimental flight verifications of a calibration matrix approach for load monitoring and temperature reconstruction and compensation

Claudio Sbarufatti, Marco Giglio, Krzysztof Dragan, 2021 .

Numerical and experimental verification of an inverse‐direct approach for load and strain monitoring in aeronautical structures

Michal Dziendzikowski, Franco Concli, Krzysztof Dragan, 2020, Structural Control and Health Monitoring.

Model-assisted performance qualification of a distributed SHM system for fatigue crack detection on a helicopter tail boom

C. Sbarufatti, M. Giglio, M. Stefaniuk, 2016 .

Real-time prognosis of random loaded structures via Bayesian filtering: A preliminary discussion

Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, 2015 .

On-line Updating of Dynamic State-Space Model for Bayesian Filtering through Markov chain Monte Carlo Techniques

Matteo Corbetta, Claudio Sbarufatti, Marco Giglio, 2013 .