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Luca Zanotti Fragonara
Luca Zanotti Fragonara
Senior Lecturer, Cranfield University, School of Aerospace
Verified email at cranfield.ac.uk - Homepage
Title
Cited by
Cited by
Year
GAPointNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
C Chen, L Zanotti Fragonara, A Tsourdos
Neurocomputing, 2021
1252021
Vibration-based monitoring and diagnosis of cultural heritage: a methodological discussion in three examples
R Ceravolo, G Pistone, L Zanotti Fragonara, S Massetto, G Abbiati
International Journal of Architectural Heritage 10 (4), 375-395, 2016
1042016
Global Sensitivity‐Based Model Updating for Heritage Structures
G Boscato, S Russo, R Ceravolo, L Zanotti Fragonara
Computer‐Aided Civil and Infrastructure Engineering, 2015
892015
A multi‐objective genetic algorithm strategy for robust optimal sensor placement
M Civera, ML Pecorelli, R Ceravolo, C Surace, L Zanotti Fragonara
Computer‐Aided Civil and Infrastructure Engineering 36 (9), 1185-1202, 2021
552021
Dynamic investigation on the Mirandola bell tower in post-earthquake scenarios
L Zanotti Fragonara, G Boscato, R Ceravolo, S Russo, S Ientile, ...
Bulletin of Earthquake Engineering 15 (1), 313-337, 2017
552017
Semi-active control of the rocking motion of monolithic art objects
R Ceravolo, ML Pecorelli, L Zanotti Fragonara
Journal of Sound and Vibration, 2016
492016
Amplitude dependence of equivalent modal parameters in monitored buildings during earthquake swarms
R Ceravolo, E Matta, A Quattrone, L Zanotti Fragonara
Earthquake Engineering & Structural Dynamics 46 (14), 2399-2417, 2017
482017
An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes
M Civera, L Zanotti Fragonara, C Surace
Strain, 2020
472020
Dynamic characterization of complex masonry structures: the Sanctuary of Vicoforte
MA Chiorino, R Ceravolo, A Spadafor, L Zanotti Fragonara, G Abbiati
International Journal of Architectural Heritage 5 (3), 296-314, 2011
472011
Monitoring of masonry historical constructions: 10 years of static monitoring of the world's largest oval dome
R Ceravolo, A De Marinis, ML Pecorelli, L Zanotti Fragonara
Structural Control and Health Monitoring 24 (10), e1988, 2017
462017
A machine learning approach for automatic operational modal analysis
V Mugnaini, L Zanotti Fragonara, M Civera
Mechanical Systems and Signal Processing 170, 108813, 2022
442022
RoIFusion: 3D Object Detection from LiDAR and Vision
C Chen, L Zanotti Fragonara, A Tsourdos
arXiv preprint arXiv:2009.04554, 2020
442020
Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges
M Civera, V Mugnaini, L Zanotti Fragonara
Structural Control and Health Monitoring 29 (10), e3028, 2022
382022
Comparison of restoring force models for the identification of structures with hysteresis and degradation
R Ceravolo, S Erlicher, L Zanotti Fragonara
Journal of Sound and Vibration 332 (26), 6982-6999, 2013
362013
System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges
M Civera, G Calamai, LZ Fragonara
Structures 30, 277-293, 2021
342021
Comparison of semi-active control strategies for rocking objects under pulse and harmonic excitations
R Ceravolo, ML Pecorelli, L Zanotti Fragonara
Mechanical Systems and Signal Processing 90, 175-188, 2017
322017
Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures
R Mohammadkhani, L Zanotti Fragonara, J Padiyar M, I Petrunin, ...
Sensors 20 (2), 559, 2020
312020
Structural Health Monitoring through Vibration-Based Approaches
G Boscato, L Zanotti Fragonara, A Cecchi, E Reccia, D Baraldi
Shock and Vibration 2019, 2019
272019
Identification of the hysteretic behaviour of a partial‐strength steel–concrete moment‐resisting frame structure subject to pseudodynamic tests
OS Bursi, R Ceravolo, S Erlicher, L Zanotti Fragonara
Earthquake engineering & structural dynamics 41 (14), 1883-1903, 2012
272012
A novel approach to damage localisation based on bispectral analysis and neural network
M Civera, L Zanotti Fragonara, C Surace
Smart Structures Systems 20 (6), 669-682, 2017
252017
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