Adjoint differentiation of a structural dynamics solver

Tadjouddine, M., Forth, S.A. and Keane, A.J. (2006) Adjoint differentiation of a structural dynamics solver. In, Bücker, M., Corliss, G., Hovland, P., Naumann, U. and Norris, B. (eds.) Automatic Differentiation: Applications, Theory, and Implementations. AD2004: The 4th International Conference on Automatic Differentiation , Springer, 309-319. (Lecture Notes in Computational Science & Engineering, 50).


PDF - Accepted Manuscript
Download (10Mb)


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.

Item Type: Book Section
ISBNs: 3540284036 (hardback)
Related URLs:
Subjects: T Technology
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 23888
Accepted Date and Publication Date:
Date Deposited: 17 Mar 2006
Last Modified: 31 Mar 2016 11:44

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics