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Eleonora Maria Tronci
Eleonora Maria Tronci
Northeastern University
Verified email at northeastern.edu
Title
Cited by
Cited by
Year
A computer vision-based method for bridge model updating using displacement influence lines
A Martini, EM Tronci, MQ Feng, RY Leung
Engineering Structures 259, 114129, 2022
312022
Multi-stage semi-automated methodology for modal parameters estimation adopting parametric system identification algorithms
EM Tronci, M De Angelis, R Betti, V Altomare
Mechanical Systems and Signal Processing 165, 108317, 2022
312022
Vibration-based structural health monitoring of a RC-masonry tower equipped with non-conventional TMD
EM Tronci, M De Angelis, R Betti, V Altomare
Engineering Structures 224, 111212, 2020
292020
Semi-automated operational modal analysis methodology to optimize modal parameter estimation
EM Tronci, M De Angelis, R Betti, V Altomare
Journal of Optimization Theory and Applications 187, 842-854, 2020
192020
A transfer learning SHM strategy for bridges enriched by the use of speaker recognition x-vectors
EM Tronci, H Beigi, MQ Feng, R Betti
Journal of Civil Structural Health Monitoring 12 (6), 1285-1298, 2022
152022
Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges
EM Tronci, S Nagabuko, H Hieda, MQ Feng
Sensors 22 (10), 3916, 2022
92022
Vibration analysis of the civic tower in Rieti
EM Tronci, D Pietrosanti, G Cordisco, M De Angelis
Procedia engineering 199, 2268-2273, 2017
72017
A damage assessment methodology for structural systems using transfer learning from the audio domain
EM Tronci, H Beigi, R Betti, MQ Feng
Mechanical Systems and Signal Processing 195, 110286, 2023
62023
Transfer learning from audio domains a valuable tool for structural health monitoring
EM Tronci, H Beigi, MQ Feng, R Betti
Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A …, 2022
62022
Damage Sensitive Features. From Classic Parameters to New Indicators
EM Tronci
Sapienza University of Rome, 2019
62019
On the use of multivariate autoregressive models for vibration-based damage detection and localization
G Bernagozzi, A Achilli, R Betti, PP Diotallevi, L Landi, S Quqa, EM Tronci
Smart Structures and Systems, An International Journal 27 (2), 335-350, 2021
52021
Damage detection in a RC-masonry tower equipped with a non-conventional TMD using temperature-independent damage sensitive features
EM Tronci, R Betti, M De Angelis
Developments in the Built Environment 15, 100170, 2023
12023
Low-power multi-hop wireless sensor network for vibration monitoring of large structures
EM Tronci, S Nagakubo, H Hieda, L Demo, MQ Feng
Nondestructive Characterization and Monitoring of Advanced Materials …, 2022
12022
Virtual sensing via Gaussian Process for bending moment response prediction of an offshore wind turbine using SCADA data
B Moynihan, EM Tronci, MC Hughes, B Moaveni, E Hines
Renewable Energy, 120466, 2024
2024
Regularized hidden Markov modeling with applications to wind speed predictions in offshore wind
A Haensch, EM Tronci, B Moynihan, B Moaveni
Mechanical Systems and Signal Processing 211, 111229, 2024
2024
Enhancing the Damage Detection and Classification of Unknown Classes with a Hybrid Supervised–Unsupervised Approach
L Stagi, L Sclafani, EM Tronci, R Betti, S Milana, A Culla, N Roveri, ...
Infrastructures 9 (3), 40, 2024
2024
Stochastic Simulation of Offshore Wind Speed and Direction Using Integrated Observational and Remote Sensing Data
A Asadi, E Tronci, B Moaveni
AGU23, 2023
2023
Carbon fiber composite panel with integrated fault detection and health monitoring
QF Maria, VR Aitharaju, L Demo, EM Tronci
US Patent App. 17/740,543, 2023
2023
Multifunctional Fiber-Reinforced Polymer Composites for Damage Detection and Memory
LB Demo, EM Tronci, MQ Feng
Journal of Composites Science 7 (9), 383, 2023
2023
Novel Damage Assessment Framework for Dynamic Systems Through Transfer Learning from Audio Domains
EM Tronci
Columbia University, 2022
2022
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