Publications

Publications

SIGMA Lab staff publish in relevant scientific journals and participate in related international congresses. Full records are maintained on Scopus and ORCID.

Selected papers: 32
Research areas: 5

32 papers

2026

Health Monitoring

Shape sensing and damage detection of composite pressure vessels using inverse finite element method coupled with physics-based strain pre-extrapolation

J. Bardiani, R. Faure Ragani, L. Pinello, A. Kefal, A. Manes, C. Sbarufatti

Thin-Walled Structures, 218, 113935
2026

Digital Twins

Structural damage diagnosis and prognosis with fleet digital twin considering similarity of individual structural features

J. Xu, D. Dai, X. Zhou, M. Giglio, C. Sbarufatti, L. Dong

Aerospace Science and Technology, 168, 110983
2025

Extreme Loads

Numerical model of curved composite tiles under low-velocity impact loading

S. Rezaei Akbarieh, D. Ma, C. Sbarufatti, A. Manes

Journal of Composite Materials
2025

Health Monitoring

A hybrid approach to enhance decision-making in marine structures: Combining sensor data with human perception

J. Bardiani, C. Mazzolatti, A. Manes, C. Sbarufatti

Results in Engineering, 27, 105670
2025

Health Monitoring

Reference-free distributed monitoring of deflections in multi-span bridges

D. Poloni, M. Morgese, C. Wang, T. Taylor, M. Giglio, F. Ansari, C. Sbarufatti

Engineering Structures, 323, 119277
2025

Digital Twins

Variational Neural Network Embedded with Digital Twins for Probabilistic Structural Damage Quantification

J. Xu, X. Zhou, M. Giglio, C. Sbarufatti, L. Dong

AIAA Journal, 63(6), 2474-2486
2025

AI for Integrity

Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks

M. Parziale, Y. Yeung, K. Youcef-Toumi, M. Giglio, F. Cadini

Structural Health Monitoring, 25(3), 1678-1698
2025

AI for Integrity

Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization

Sensors, 25(2), 578
2025

Metamaterials

Elastic hyperbolic strip lattices

N. H. Patino, L. Lomazzi, L. De Beni, M. Ruzzene

Physical Review Applied, 24(1), 014016
2025

Metamaterials

Interface states in two-dimensional quasicrystals with broken inversion symmetry

D. Beli, M. I. N. Rosa, L. Lomazzi, C. De Marqui, M. Ruzzene

Physical Review Applied, 23(2), 024039
2025

Metamaterials

On the effectiveness of ABH-based metamaterials in vibration control of naval equipment subjected to underwater explosion loads

J. Bardiani, G. Kyaw Oo D’Amore, G. Marchesi, M. Biot, C. Sbarufatti, A. Manes

Results in Engineering, 27, 106117
2024

Extreme Loads

Modeling approaches for ballistic simulations of composite materials: Analytical model vs. finite element method

D. Ma, R. Scazzosi, A. Manes

Composites Science and Technology, 248, 110461
2024

Health Monitoring

On a meta-learning population-based approach to damage prognosis

G. Tsialiamanis, C. Sbarufatti, N. Dervilis, K. Worden

Mechanical Systems and Signal Processing, 209, 111119
2024

Health Monitoring

SAMAS 2: structural health and ballistic impact monitoring and prognosis on a military helicopter

International Journal of Structural Integrity
2024

Digital Twins

In-service Load Monitoring for an UAV Digital Twin

X. Zhou, M. Dziendzikowski, K. Dragan, L. Dong, M. Giglio, C. Sbarufatti

e-Journal of Nondestructive Testing, 29(7)
2024

Digital Twins

Preliminary Nose Landing Gear Digital Twin for Damage Detection

L. Pinello, O. Hassan, M. Giglio, C. Sbarufatti

Aerospace, 11(3), 222
2024

AI for Integrity

Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models

Applied Intelligence
2024

AI for Integrity

Convolutional autoencoders and CGANs for unsupervised structural damage localization

R. Junges, Z. Rastin, L. Lomazzi, M. Giglio, F. Cadini

Mechanical Systems and Signal Processing, 220, 111645
2024

AI for Integrity

Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach

A. Gonzalez-Jimenez, L. Lomazzi, R. Junges, M. Giglio, A. Manes, F. Cadini

Structural Health Monitoring, 23(3), 1514-1529
2024

AI for Integrity

Explainability of convolutional neural networks for damage diagnosis using transmissibility functions

M. Parziale, P. Henrique Silva, M. Giglio, F. Cadini

Structures, 69, 107583
2024

AI for Integrity

Physics-Informed Neural Networks for the Condition Monitoring of Rotating Shafts

M. Parziale, L. Lomazzi, M. Giglio, F. Cadini

Sensors, 24(1), 207
2024

AI for Integrity

Temperature enhanced early detection of internal short circuits in lithium-ion batteries using an extended Kalman filter

Y. Jia, L. Brancato, M. Giglio, F. Cadini

Journal of Power Sources, 591, 233874
2024

AI for Integrity

Unsupervised data-driven method for damage localization using guided waves

L. Lomazzi, R. Junges, M. Giglio, F. Cadini

Mechanical Systems and Signal Processing, 208, 111038
2023

Health Monitoring

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

D. Poloni, D. Oboe, C. Sbarufatti, M. Giglio

Mechanical Systems and Signal Processing, 189, 110056
2023

Health Monitoring

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

D. Poloni, D. Oboe, C. Sbarufatti, M. Giglio

Sensors, 23(3), 1733
2023

Digital Twins

A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin

X. Zhou, C. Sbarufatti, M. Giglio, L. Dong

Mechanical Systems and Signal Processing, 191, 110164
2023

AI for Integrity

On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis

L. Lomazzi, S. Fabiano, M. Parziale, M. Giglio, F. Cadini

Mechanical Systems and Signal Processing, 183, 109642
2023

AI for Integrity

Towards a deep learning-based unified approach for structural damage detection, localisation and quantification

L. Lomazzi, M. Giglio, F. Cadini

Engineering Applications of Artificial Intelligence, 121, 106003
2021

Extreme Loads

Analytical and empirical methods for the characterisation of the permanent transverse displacement of quadrangular metal plates subjected to blast load: Comparison of existing methods and development of a novel methodological approach

L. Lomazzi, M. Giglio, A. Manes

International Journal of Impact Engineering, 154, 103890
2021

Extreme Loads

Numerical study on the dynamic progressive failure due to low-velocity repeated impacts in thin CFRP laminated composite plates

M. Rezasefat, A. Gonzalez-Jimenez, M. Giglio, A. Manes

Thin-Walled Structures, 167, 108220
2019

Extreme Loads

Ballistic strain-rate-dependent material modelling of glass-fibre woven composite based on the prediction of a meso-heterogeneous approach

D. Ma, A. Manes, S. Amico, M. Giglio

Composite Structures, 216, 187-200
2016

Extreme Loads

Experimental tests and numerical modelling of ballistic impacts against Kevlar 29 plain-woven fabrics with an epoxy matrix: Macro-homogeneous and Meso-heterogeneous approaches

L. Bresciani, A. Manes, A. Ruggiero, G. Iannitti, M. Giglio

Composites Part B: Engineering, 88, 114-130

Shape sensing and damage detection of composite pressure vessels using inverse finite element method coupled with physics-based strain pre-extrapolation

Structural damage diagnosis and prognosis with fleet digital twin considering similarity of individual structural features

Numerical model of curved composite tiles under low-velocity impact loading

A hybrid approach to enhance decision-making in marine structures: Combining sensor data with human perception

Reference-free distributed monitoring of deflections in multi-span bridges

Variational Neural Network Embedded with Digital Twins for Probabilistic Structural Damage Quantification

Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks

Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization

Elastic hyperbolic strip lattices

Interface states in two-dimensional quasicrystals with broken inversion symmetry

On the effectiveness of ABH-based metamaterials in vibration control of naval equipment subjected to underwater explosion loads

Modeling approaches for ballistic simulations of composite materials: Analytical model vs. finite element method

On a meta-learning population-based approach to damage prognosis

SAMAS 2: structural health and ballistic impact monitoring and prognosis on a military helicopter

In-service Load Monitoring for an UAV Digital Twin

Preliminary Nose Landing Gear Digital Twin for Damage Detection

Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models

Convolutional autoencoders and CGANs for unsupervised structural damage localization

Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach

Explainability of convolutional neural networks for damage diagnosis using transmissibility functions

Physics-Informed Neural Networks for the Condition Monitoring of Rotating Shafts

Temperature enhanced early detection of internal short circuits in lithium-ion batteries using an extended Kalman filter

Unsupervised data-driven method for damage localization using guided waves

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

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

A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin

On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis

Towards a deep learning-based unified approach for structural damage detection, localisation and quantification

Analytical and empirical methods for the characterisation of the permanent transverse displacement of quadrangular metal plates subjected to blast load: Comparison of existing methods and development of a novel methodological approach

Numerical study on the dynamic progressive failure due to low-velocity repeated impacts in thin CFRP laminated composite plates

Ballistic strain-rate-dependent material modelling of glass-fibre woven composite based on the prediction of a meso-heterogeneous approach

Experimental tests and numerical modelling of ballistic impacts against Kevlar 29 plain-woven fabrics with an epoxy matrix: Macro-homogeneous and Meso-heterogeneous approaches