Carmelo Gentile

Prof. Carmelo Gentile

Politecnico di Milano, Department ABC—Architecture, Built Environment and Construction Engineering, 20133 Milan, Italy
orcid

Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

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

Representative Publications

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1 June 2007 in Construction and Building Materials
Verified
Journal Article
Closed access
Carmelo GentileCarmelo Gentile
Carmelo Gentile
Antonella SaisiAntonella Saisi
Antonella Saisi

1 January 2013 in Engineering Structures
Verified
Journal Article
Closed access
Filippo UbertiniFilippo Ubertini
Filippo Ubertini
Carmelo GentileCarmelo Gentile
Carmelo Gentile
AMAnnibale Luigi Materazzi
Annibale Luigi Materazzi

11 July 2016 in Meccanica
Verified
Journal Article
Closed access
PDF file
Carmelo GentileCarmelo Gentile
Carmelo Gentile
MGMarco Guidobaldi
Marco Guidobaldi
Antonella SaisiAntonella Saisi
Antonella Saisi

1 April 2015 in Construction and Building Materials
Verified
Journal Article
Closed access
Antonella SaisiAntonella Saisi
Antonella Saisi
Carmelo GentileCarmelo Gentile
Carmelo Gentile
MGMarco Guidobaldi
Marco Guidobaldi

28 February 2016 in Structural Control and Health Monitoring
Verified
Journal Article
Closed access
PDF file
ACAlessandro Cabboi
Alessandro Cabboi
FMFilipe Magalhães
Filipe Magalhães
Carmelo GentileCarmelo Gentile
Carmelo Gentile
ÁCÁlvaro Cunha
Álvaro Cunha
Challenges concerning the automation of modal identification and tracking procedures in permanent monitoring systems for Structural Health Monitoring purposes are discussed. In this context, an automated procedure based on parametric identification methods that involve the interpretation of stabilization diagrams is proposed. The methodology comprehends two key points: (i) automatic analysis of stabilization diagrams, performed through a first check of reasonable damping ratio, a subsequent modal complexity check and a final clustering of structural modes; (ii) automated tracking of the evolution in time of the identified modal properties. The proposed modal clustering and tracking steps exploit the introduction of self-adaptable dynamic thresholds, that do not require any a priori manual tuning for the different recorded data set. Finally, the proposed approach was successfully validated using real data collected on a historic iron arch bridge. Copyright © 2016 John Wiley & Sons, Ltd.

1 December 2017 in Construction and Building Materials
Verified
Journal Article
Closed access
ACAlessandro Cabboi
Alessandro Cabboi
Carmelo GentileCarmelo Gentile
Carmelo Gentile
Antonella SaisiAntonella Saisi
Antonella Saisi