Mauro Ferraro

Dr. Mauro Ferraro


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 October 2015 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
FAFerdinando Auricchio
Ferdinando Auricchio
MCMichele Conti
Michele Conti
MFMauro Ferraro
Mauro Ferraro
SMS. Morganti
S. Morganti
Alessandro RealiAlessandro Reali
Alessandro Reali
RTR.L. Taylor
R.L. Taylor

25 August 2012 in International Journal for Numerical Methods in Biomedical Engineering
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Journal Article
Closed access
PDF file
FAFerdinando Auricchio
Ferdinando Auricchio
MCMichele Conti
Michele Conti
MFMauro Ferraro
Mauro Ferraro
Alessandro RealiAlessandro Reali
Alessandro Reali

25 October 2017 in Annals of Biomedical Engineering
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Journal Article
Closed access
PDF file
MFMauro Ferraro
Mauro Ferraro
BTBram Trachet
Bram Trachet
LALydia Aslanidou
Lydia Aslanidou
HFHeleen Fehervary
Heleen Fehervary
PSPatrick Segers
Patrick Segers
NSNikolaos Stergiopulos
Nikolaos Stergiopulos

Verified
Journal Article
Open access
PDF file
MFMauro Ferraro
Mauro Ferraro
FAFerdinando Auricchio
Ferdinando Auricchio
EBElisa Boatti
Elisa Boatti
Giulia ScaletGiulia Scalet
Giulia Scalet
MCMichele Conti
Michele Conti
Alessandro RealiAlessandro Reali
Alessandro Reali
Computer-based simulations are nowadays widely exploited for the prediction of the mechanical behavior of different biomedical devices. In this aspect, structural finite element analyses (FEA) are currently the preferred computational tool to evaluate the stent response under bending. This work aims at developing a computational framework based on linear and higher order FEA to evaluate the flexibility of self-expandable carotid artery stents. In particular, numerical simulations involving large deformations and inelastic shape memory alloy constitutive modeling are performed, and the results suggest that the employment of higher order FEA allows accurately representing the computational domain and getting a better approximation of the solution with a widely-reduced number of degrees of freedom with respect to linear FEA. Moreover, when buckling phenomena occur, higher order FEA presents a superior capability of reproducing the nonlinear local effects related to buckling phenomena.