Rita Greco

Prof. Rita Greco


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2010 in Journal of Sound and Vibration
Verified
Journal Article
Closed access
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
RGRita Greco
Rita Greco
BCBernardino Chiaia
Bernardino Chiaia

1 November 2007 in International Journal of Solids and Structures
Verified
Journal Article
Closed access
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
RGRita Greco
Rita Greco
FTFrancesco Trentadue
Francesco Trentadue
BCBernardino Chiaia
Bernardino Chiaia

1 January 2010 in Probabilistic Engineering Mechanics
Verified
Journal Article
Closed access
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
RGRita Greco
Rita Greco
Sara SgobbaSara Sgobba
Sara Sgobba

1 June 2008 in Journal of Sound and Vibration
Verified
Journal Article
Closed access
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
Sara SgobbaSara Sgobba
Sara Sgobba
RGRita Greco
Rita Greco
MMMauro Mezzina
Mauro Mezzina

3 July 2013 in Journal of Vibration and Control
Verified
Journal Article
Closed access
RGRita Greco
Rita Greco
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
Fluid viscous dampers have been widely applied to reduce the effects of vibrations in civil engineering structures. A good understanding of the dynamical behavior of these devices is required to analyze structures equipped with fluid viscous dampers. The simple Kelvin–Voigt and Maxwell rheological models do not have enough parameters to suitably capture the frequency dependence of device parameters, so other models representing some generalizations of the basic Kelvin–Voigt and Maxwell models have been developed. This paper deals with parameter identification for basic and generalized Kelvin–Voigt and Maxwell models for fluid viscous dampers. The identification procedure gives the best mechanical parameters by minimizing a suitable objective function that represents a measure of difference between analytical and experimental applied forces. For this purpose, the particle swarm optimization is adopted. Results are obtained under various test conditions, comparing the agreement of various models with experimental data. Finally, a numerical investigation is performed on a simple one degree of freedom structure, equipped with fluid viscous dampers and subject to a real seismic motion.

1 September 2014 in Applied Soft Computing
Verified
Journal Article
Closed access
GQGiuseppe Quaranta
Giuseppe Quaranta
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
RGRita Greco
Rita Greco
Giorgio MontiGiorgio Monti
Giorgio Monti