Computational Design Optimization Under Uncertainty of Systems with Nonlinear Aeroelastic Constraints
Abstract
The work funded through this grant has enabled the development of a new methodology to substantially facilitate the design of systems with aeroelastic constraints. Techniques focusing on the optimal design and the propagation of uncertainties have been developed. The fundamental paradigm shift in this work stems from the use of a classification-based approach to construct explicit "decision" boundaries such as stability boundaries. This enables one to manage problems with discontinuities (e.g., problems with subcritical limit cycle oscillations) or problems with a large number of constraints. This approach has been used as the foundation for reliability-based design optimization and multifidelity algorithms for the reduction of computational time. The proposed techniques have been successfully applied to several design examples with aeroelastic constraints.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 21, 2012
- Accession Number
- ADA582315
Entities
People
- Samy Missoum
Organizations
- University of Arizona