Set-Based Approach to Design under Uncertainty and Applications to Shaping a Hydrofoil

Abstract

The paper presents a framework for set-based design under uncertainty and demonstrates its viability through a shape design case of an efficient super-cavitating hydrofoil for ultra-high speed maritime vehicles. Redirecting the effort away from optimal designs to those that safely meet relevant requirements as quantified precisely by super quantile measures of risk (s-risk), the paper addresses situations faced in practice where elimination of poor designs is more important than identifying a best one. The complexity of the design case, involving multiphysics and several design constraints, necessitates the use of surrogate models, which are built using high- and low-fidelity simulations and are here tuned for the first time to reflect s-risk. Accounting for both parameter uncertainty as well as errors in surrogate models, we obtain robust designs that satisfy requirements under a variety of manufacturing and operating conditions.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2016
Accession Number
AD1016660

Entities

People

  • Giuliano Vernengo
  • Johannes Ø. Røyset
  • Luca Bonfiglio
  • Stefano Brizzolara

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Curvature
  • Data Sets
  • Engineering
  • Equations
  • Flow
  • Geometry
  • Mechanical Engineering
  • Potential Flow
  • Probability
  • Probability Distributions
  • Random Variables
  • Reliability
  • Shape
  • Simulations

Readers

  • Computational Fluid Dynamics (CFD)
  • Marine Propulsion Engineering and Naval Architecture
  • Systems Analysis and Design