Development of Multidisciplinary, Multifidelity Analysis, Integration, and Optimization of Aerospace Vehicles
Abstract
Report developed under STTR contract for topic AF08-BT03. The purpose of this work is to develop methods for representing, managing, and fusing information of various levels of fidelity within an engineering discipline and across multiple disciplines for a wide-range of analysis and design tools. An efficient, radial basis function-based extension of multifidelity sequential Kriging optimization was developed. This method, referred to as multifidelity sequential radial basis optimization (MFSRBO) addresses multicriteria optimization involving more than a single type of model representing more than a single discipline, and takes into account both the location in design space and the fidelity of further data acquisition/infill. Several variants of the method are discussed, and their potential assessed for future development. The application of MFSRBO is illustrated on a UAV wing design function integrating information from structural and fluid models. In the context of virtually any major computational (CAD/FEM) optimization, the proposed methods offer substantially reduced computational cost to arrive at the optimum solution. As a result, engineers and researchers can potentially solve more desigh problems in less time and achieve higher quality results at reduced costs.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 27, 2010
- Accession Number
- ADA517077
Entities
People
- Daniel J. Lesieutre
- Patrick H. Reisenthel
- Soo H. Lee
- Theodore T. Allen
Organizations
- Nielsen Engineering & Research (United States)