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Sergio Ruggieri
Sergio Ruggieri
Polytechnic University of Bari
Email verificata su poliba.it
Titolo
Citata da
Citata da
Anno
Machine-learning based vulnerability analysis of existing buildings
S Ruggieri, A Cardellicchio, V Leggieri, G Uva
Automation in Construction 132, 103936, 2021
792021
A prioritization RVS methodology for the seismic risk assessment of RC school buildings
S Ruggieri, D Perrone, M Leone, G Uva, MA Aiello
International Journal of Disaster Risk Reduction 51, 101807, 2020
642020
Two frugal options to assess class fragility and seismic safety for low-rise reinforced concrete school buildings in Southern Italy
S Ruggieri, F Porco, G Uva, D Vamvatsikos
Bulletin of Earthquake Engineering 19, 1415-1439, 2021
632021
Seismic vulnerability analysis of Masonry Churches in Piemonte after 2003 Valle Scrivia earthquake: Post-event screening and situation 17 years later
S Ruggieri, C Tosto, G Rosati, G Uva, GA Ferro
International Journal of Architectural Heritage 16 (5), 717-745, 2022
552022
A practical approach for estimating the floor deformability in existing RC buildings: Evaluation of the effects in the structural response and seismic fragility
S Ruggieri, F Porco, G Uva
Bulletin of Earthquake Engineering 18, 2083-2113, 2020
552020
Structural vulnerability assessment of masonry churches supported by user-reported data and modern Internet of Things (IoT)
G Uva, V Sangiorgio, S Ruggieri, F Fatiguso
Measurement 131, 183-192, 2019
482019
Analytical-mechanical based framework for seismic overall fragility analysis of existing RC buildings in town compartments
S Ruggieri, M Calò, A Cardellicchio, G Uva
Bulletin of Earthquake Engineering 20 (15), 8179-8216, 2022
452022
Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
A Cardellicchio, S Ruggieri, A Nettis, V Renò, G Uva
Engineering Failure Analysis 149, 107237, 2023
432023
Appraising seismic vulnerability of masonry aggregates through an automated mechanical-typological approach
V Leggieri, S Ruggieri, G Zagari, G Uva
Automation in Construction 132, 103972, 2021
412021
Accounting for the spatial variability of seismic motion in the pushover analysis of regular and irregular RC buildings in the new Italian building code
S Ruggieri, G Uva
Buildings 10 (10), 177, 2020
362020
A numerical procedure for modeling the floor deformability in seismic analysis of existing RC buildings
S Ruggieri, F Porco, G Uva
Journal of Building Engineering 19, 273-284, 2018
30*2018
Acceleration demands in single-storey RC buildings with flexible diaphragms
S Ruggieri, V Vukobratović
Engineering Structures 275, 115276, 2023
262023
Effects in conventional nonlinear static analysis: Evaluation of control node position
G Uva, F Porco, A Fiore, S Ruggieri
Structures 13, 178-192, 2018
262018
Reduced‐order models for the seismic assessment of plan‐irregular low‐rise frame buildings
S Ruggieri, A Chatzidaki, D Vamvatsikos, G Uva
Earthquake Engineering & Structural Dynamics 51 (14), 3327-3346, 2022
252022
Seismic assessment of irregular existing building: Appraisal of the influence of compressive strength variation by means of nonlinear conventional and multimodal static analysis
F Porco, S Ruggieri, G Uva
Ing. Sismica 35, 64-86, 2018
232018
Floor acceleration demands in a twelve-storey RC shear wall building
V Vukobratović, S Ruggieri
Buildings 11 (2), 38, 2021
222021
View VULMA: Data set for training a machine-learning tool for a fast vulnerability analysis of existing buildings
A Cardellicchio, S Ruggieri, V Leggieri, G Uva
Data 7 (1), 4, 2021
202021
An archetype-based automated procedure to derive global-local seismic fragility of masonry building aggregates: META-FORMA-XL
S Ruggieri, FS Liguori, V Leggieri, A Bilotta, A Madeo, S Casolo, G Uva
International journal of disaster risk reduction 95, 103903, 2023
172023
A new approach to predict the fundamental period of vibration for newly-designed reinforced concrete buildings
S Ruggieri, A Fiore, G Uva
Journal of Earthquake Engineering 26 (13), 6943-6968, 2022
172022
Assessment of structural behavior, vulnerability, and risk of industrial silos: state-of-the-art and recent research trends
M Khalil, S Ruggieri, G Uva
Applied Sciences 12 (6), 3006, 2022
142022
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