Adjoint Differentiation of a Structural Dynamics Solver.
dc.contributor.author | Tadjouddine, Mohamed | - |
dc.contributor.author | Forth, Shaun A. | - |
dc.contributor.author | Keane, Andy J. | - |
dc.date.accessioned | 2011-11-21T23:00:56Z | |
dc.date.available | 2011-11-21T23:00:56Z | |
dc.date.issued | 2006-12-01T00:00:00Z | - |
dc.description.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 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. | en_UK |
dc.identifier.citation | Mohamed Tadjouddine, Shaun A. Forth & Andy J. Keane, Adjoint Differentiation of a Structural Dynamics Solver. Automatic Differentiation: Applications, Theory, and Implementations, Bücker, M.; Corliss, G.; Hovland, P.; Naumann, U.; Norris, B. (Eds.), Lecture Notes in Computational Science & Engineering, Volume 50, p309-319, 2006 | - |
dc.identifier.isbn | 3-540-28403-6 | - |
dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/3132 | |
dc.identifier.uri | http://dx.doi.org/10.1007/3-540-28438-9_27 | |
dc.subject | reverse mode AD | en_UK |
dc.subject | hybrid GA-local search | en_UK |
dc.subject | structural dynamics | en_UK |
dc.subject | performance | en_UK |
dc.title | Adjoint Differentiation of a Structural Dynamics Solver. | en_UK |
dc.type | Article | - |