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Adjoint differentiation of a structural dynamics solver

Tadjouddine, M., Forth, S.A. and Keane, A.J., (2006) Adjoint differentiation of a structural dynamics solver Bücker, M., Corliss, G., Hovland, P., Naumann, U. and Norris, B. (eds.) In Automatic Differentiation: Applications, Theory, and Implementations. vol. 50, Springer., pp. 309-319.

Record type: Conference or Workshop Item (Paper)


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 efficiency, 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. 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.

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Published date: 2006
Venue - Dates: AD2004: The 4th International Conference on Automatic Differentiation, 2004-07-19 - 2004-07-23


Local EPrints ID: 23888
ISBN: 3540284036
PURE UUID: 84de2124-ad69-4aba-99cf-f3c2c75c1043

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Date deposited: 17 Mar 2006
Last modified: 17 Jul 2017 16:16

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Author: M. Tadjouddine
Author: S.A. Forth
Author: A.J. Keane
Editor: M. Bücker
Editor: G. Corliss
Editor: P. Hovland
Editor: U. Naumann
Editor: B. Norris

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