Scientific Computing Seminar

Date and Place: Thursdays and hybrid (live in 32-349/online via Zoom). For detailed dates see below!

Content

In the Scientific Computing Seminar we host talks of guests and members of the SciComp team as well as students of mathematics, computer science and engineering. Everybody interested in the topics is welcome.

List of Talks

Event Information:

  • Wed
    18
    Apr
    2018

    SC Seminar: Rubén Sánchez Fernández

    11:00SC Seminar Room 32-349

    Dr. Rubén Sánchez Fernández, SciComp

    Title:
    A Coupled Adjoint-Based Method for Aeroelastic Design in the Open-Source SU2 Suite

    Abstract:

    Computational Fluid-Structure Interaction (FSI) methods have reached a significant level of maturity, which has led to their incorporation into the analysis stage of industrial applications. However, optimising the structural and/or the aerodynamic performance in highly non-linear coupled FSI problems remains a challenging task, due to the high computational cost of evaluating the objective functions in this problem and their gradients. Adjoint methods have shown to be an efficient methodology for this latter task, as they can compute sensitivities with a computational cost independent of the number of design variables. On the other hand, their implementation is complex, particularly when the linearisation of the system equations is convoluted.
    A novel technique for the evaluation of the coupled adjoint problem for FSI is presented. It is based on the consistent application of Algorithmic Differentiation to the fixed-point iterators of the subproblems. This approach makes the computation of the adjoint independent from the solution methods employed for the primal problem, and overcomes the usual limitation for most realistic applications, which is the need for an explicit construction of the analytic Jacobian of the coupled problem. The method poses no restrictions to the non-linearity of the physics in either the fluid or structural field, and it is amenable to partitioned solution methods for the primal and adjoint FSI problems.