Stefano Brizzolara

Prof. Stefano Brizzolara

Kevin T. Crofton Department of Aerospace and Ocean Engineering, Randolph Hall, 332-4, Virginia Tech, 460 Old Turner St., Blacksburg, VA 24061, USA
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 October 2012 in Ocean Engineering
Verified
Journal Article
Closed access
DBD. Bertetta
D. Bertetta
SBStefano Brizzolara
Stefano Brizzolara
Stefano GaggeroStefano Gaggero
Stefano Gaggero
MVMichele Viviani
Michele Viviani
LSL. Savio
L. Savio

1 April 2018 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
LBL. Bonfiglio
L. Bonfiglio
PPP. Perdikaris
P. Perdikaris
SBStefano Brizzolara
Stefano Brizzolara
GKG.E. Karniadakis
G.E. Karniadakis

1 May 2018 in Environmental Modelling & Software
Verified
Journal Article
Closed access
RRRiccardo Angelini Rota Roselli
Riccardo Angelini Rota Roselli
Giuliano VernengoGiuliano Vernengo
Giuliano Vernengo
Corrado AltomareCorrado Altomare
Corrado Altomare
SBStefano Brizzolara
Stefano Brizzolara
LBLuca Bonfiglio
Luca Bonfiglio
RGRoberto Guercio
Roberto Guercio

1 October 2010 in Journal of Hydrodynamics
Verified
Journal Article
Closed access
Stefano GaggeroStefano Gaggero
Stefano Gaggero
Diego VillaDiego Villa
Diego Villa
SBStefano Brizzolara
Stefano Brizzolara

30 August 2017 in Journal of Mechanical Design
Verified
Journal Article
Open access
PDF file
JRJ. O. Royset
J. O. Royset
LBL. Bonfiglio
L. Bonfiglio
Giuliano VernengoGiuliano Vernengo
Giuliano Vernengo
SBStefano Brizzolara
Stefano Brizzolara
The paper presents a framework for set-based design under uncertainty and demonstrates its viability through designing a super-cavitating hydrofoil of an ultrahigh speed vessel. The framework achieves designs that safely meet the requirements as quantified precisely by superquantile measures of risk (s-risk) and reduces the complexity of design under uncertainty. S-risk ensures comprehensive and decision-theoretically sound assessment of risk and permits a decoupling of parametric uncertainty and surrogate (model) uncertainty. The framework is compatible with any surrogate building technique, but we illustrate it by developing for the first time risk-adaptive surrogates that are especially tailored to s-risk. The numerical results demonstrate the framework in a complex design case requiring multifidelity simulation.

23 September 2011 in Ocean Dynamics
Verified
Journal Article
Closed access
PDF file
SBStefano Brizzolara
Stefano Brizzolara
TCTom Curtin
Tom Curtin
MBMarco Bovio
Marco Bovio
Giuliano VernengoGiuliano Vernengo
Giuliano Vernengo