z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom