pyMDO: A framework for high-fidelity multi-disciplinary optimization

Juan J. Alonso*, Patrick LeGresley, Edwin van der Weide, Joaquim R.R.A. Martins, James J. Reuther

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

37 Citations (Scopus)

Abstract

This paper presents a new approach to the software architecture of a high-fidelity multidisciplinary design framework that facilitates the reuse of existing components, the addition of new ones, and the scripting of MDO procedures. As a first step towards this goal, we implement the necessary components of a high-fidelity aero-structural design environment for complete aircraft configurations, and demonstrate them with two separate aero-structural analyses: a supersonic jet and a launch vehicle. At the core of the frame-work is an aero-structural solver that uses high-fidelity models for both disciplines as well as an accurate coupling procedure. The Euler or Navier-Stokes equations are solved for the aerodynamics and a detailed finite-element model is used for the primary structure. Rather than focusing on the actual design method and results, this paper emphasizes the role that sound software development environments can play in the creation of complex high-fidelity design optimization applications. In particular, we describe lessons learned during the course of this experience using the Python programming language, the development cost incurred in comparison with a traditional, Fortran 90/95, C, or C++ based development method, and the impact that this type of approach can have on both the establishment of high- and multi-fidelity design environments and in the productivity of research groups in academic settings.

Original languageEnglish
Title of host publication10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2004
Subtitle of host publicationCollection of Technical Papers
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Pages2001-2019
Number of pages19
Volume3
ISBN (Electronic)978-1-62410-019-2
DOIs
Publication statusPublished - 1 Dec 2004
Externally publishedYes
Event10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2004 - Albany, United States
Duration: 30 Aug 20041 Sep 2004

Conference

Conference10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2004
CountryUnited States
CityAlbany
Period30/08/041/09/04

Fingerprint Dive into the research topics of 'pyMDO: A framework for high-fidelity multi-disciplinary optimization'. Together they form a unique fingerprint.

Cite this