Risk-Adaptive Set-Based Design and Applications to Shaping a Hydrofoil
Author(s) -
Johannes Ø. Røyset,
Luca Bonfiglio,
Giuliano Vernengo,
Stefano Brizzolara
Publication year - 2017
Publication title -
journal of mechanical design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.911
H-Index - 120
eISSN - 1528-9001
pISSN - 1050-0472
DOI - 10.1115/1.4037623
Subject(s) - uncertainty quantification , parametric statistics , surrogate model , computer science , decoupling (probability) , set (abstract data type) , risk management , risk analysis (engineering) , risk assessment , reliability engineering , engineering , control engineering , machine learning , medicine , statistics , mathematics , management , computer security , economics , programming language
The paper presents a framework for set-based design under uncertainty and demonstrates its viability through designing a super-cavitating hydrofoil of an ultra-high spee d vessel. The framework achieves designs that safely meet requirements as quantified precisely by superquantile measures of risk (s-risk) and reduces the complexity of design u nder uncertainty. S-risk ensures comprehensive and decisio ntheoretically 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 t he first time risk-adaptive surrogates that are especially tai lored to s-risk. The numerical results demonstrate the framework in a complex design case requiring multi-fidelity simulatio n.
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