Advertisement

Adjoint Differentiation of a Structural Dynamics Solver

  • Mohamed Tadjouddine
  • Shaun A. Forth
  • Andy J. Keane
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 50)

Abstract

The design of a satellite boom using passive vibration control by Keane [J. of Sound and Vibration, 1995, 185(3), 441–453] has previously been carried out using an energy function of the design geometry aimed at minimising mechanical noise and vibrations. To minimise this cost function, a Genetic Algorithm (GA) was used, enabling modification of the initial geometry for a better design. To improve eficiency, it is proposed to couple the GA with a local search method involving the gradient of the cost function. In this paper, we detail the generation of an adjoint solver by automatic differentiation via Adifor 3.0. This has resulted in a gradient code that runs in 7.4 times the time of the function evaluation. This should reduce the rather time-consuming process (over 10 CPU days by using parallel processing) of the GA optimiser for this problem.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer 2006

Authors and Affiliations

  • Mohamed Tadjouddine
    • 1
  • Shaun A. Forth
    • 1
  • Andy J. Keane
    • 2
  1. 1.Applied Mathematics & Operational Research, ESDCranfield University (RMCS Shrivenham)SwindonUK
  2. 2.Computational Engineering and Design Group, School of Engineering SciencesUniversity of SouthamptonUK

Personalised recommendations