Multidisciplinary design optimization through use of stochastic mutation algorithm

Seng M. Hong; Gary A. Thiele; Robert P. Penno

doi:10.1117/12.683304

22 May 2006 Multidisciplinary design optimization through use of stochastic mutation algorithm

Seng M. Hong, Gary A. Thiele, Robert P. Penno

Proceedings Volume 6228, Modeling and Simulation for Military Applications; 62280U (2006) https://doi.org/10.1117/12.683304
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

The computation or prediction of plane wave back scattered field is one of the major design considerations of future aircraft and weapon systems. The task of computing the electromagnetic backscattered field of an airframe structure is by no means a new endeavor. Whereas predicting a minimal backscattered field return under the manipulation of airframe geometry in the context of multidisciplinary design is considered the most prudent approach to obtain the optimal solution and is a new endeavor. The objective of this paper is to develop a mathematical method to couple the backscattered field with the defined aerodynamic performance constraints in the design process of future airframes. This paper will address the coupling of the electromagnetics discipline in a Multidisciplinary Design Optimization (MDO) scheme that includes the mathematical optimization of aerodynamics, or Aero discipline, including the coupling effects of aerodynamic performance (maximum value) with backscattered field return (minimum value) of a Zeroth (0^th) Order Mode wing planform.

Citation Download Citation

Seng M. Hong, Gary A. Thiele, and Robert P. Penno "Multidisciplinary design optimization through use of stochastic mutation algorithm", Proc. SPIE 6228, Modeling and Simulation for Military Applications, 62280U (22 May 2006); https://doi.org/10.1117/12.683304

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available