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Giuseppina Uva
Giuseppina Uva
Full Professor of Structural Engineering, Polytechnic University of Bari, Bari, Italy
在 poliba.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
On the role of equivalent strut models in the seismic assessment of infilled RC buildings
G Uva, D Raffaele, F Porco, A Fiore
Engineering Structures 42, 83-94, 2012
1742012
Comparative seismic vulnerability analysis on ten masonry towers in the coastal Po Valley in Italy
S Casolo, G Milani, G Uva, C Alessandri
Engineering Structures 49, 465-490, 2013
1712013
Appraisal of masonry infill walls effect in the seismic response of RC framed buildings: A case study
G Uva, F Porco, A Fiore
Engineering Structures 34, 514-526, 2012
1502012
Seismic assessment of a medieval masonry tower in Northern Italy by limit, nonlinear static, and full dynamic analyses
G Milani, S Casolo, A Naliato, A Tralli
International Journal of Architectural Heritage 6 (5), 489-524, 2012
1372012
Machine-learning based vulnerability analysis of existing buildings
S Ruggieri, A Cardellicchio, V Leggieri, G Uva
Automation in Construction 132, 103936, 2021
922021
Influence of soil deformability on the seismic response of a masonry tower
GU Siro Casolo, Vito Diana
Bulletin of Earthquake Engineering 15 (5), 1991–2014, 2016
81*2016
About the influence of the infill panels over the collapse mechanisms actived under pushover analyses: two case studies
A Fiore, F Porco, D Raffaele, G Uva
Soil Dynamics and Earthquake Engineering 39, 11-22, 2012
792012
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
692020
On the dispersion of data collected by in situ diagnostic of the existing concrete
A Fiore, F Porco, G Uva, M Mezzina
Construction and Building Materials 47, 208-217, 2013
682013
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
662021
ANTAEUS project for the regional vulnerability assessment of the current building stock in historical centers
G Uva, CA Sanjust, S Casolo, M Mezzina
International Journal of Architectural Heritage 10 (1), 20-43, 2016
642016
Nonlinear analysis of out‐of‐plane masonry façades: full dynamic versus pushover methods by rigid body and spring model
S Casolo, G Uva
Earthquake engineering & structural dynamics 42 (4), 499-521, 2013
622013
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
612022
Towards a multiscale analysis of periodic masonry brickwork: A FEM algorithm with damage and friction
G Uva, G Salerno
International journal of solids and structures 43 (13), 3739-3769, 2006
612006
Optimized AHP to overcome limits in weight calculation: Building performance application
V Sangiorgio, G Uva, F Fatiguso
Journal of Construction Engineering and Management 144 (2), 04017101, 2018
602018
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
582020
Proposal of a methodology for assessing the reliability of in situ concrete tests and improving the estimate of the compressive strength
G Uva, F Porco, A Fiore, M Mezzina
Construction and Building Materials 38, 72-83, 2013
572013
Structural monitoring using fiber optic sensors of a pre-stressed concrete viaduct during construction phases
G Uva, F Porco, A Fiore, G Porco
Case Studies in Nondestructive Testing and Evaluation 2, 27-37, 2014
552014
Refinement and validation of the simple lateral mechanism analysis (SLaMA) procedure for RC frames
R Gentile, C del Vecchio, S Pampanin, D Raffaele, G Uva
Journal of Earthquake Engineering 25 (7), 1227-1255, 2021
532021
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
522023
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