9.10 Co-simulation, optimization and optimal control of adaptive structures subject to coupled physical fields and signals – exemplary applications for energy harvesting from the interaction of fluids and structures (COSIMO)
Typically, physical phenomena of technical relevance are coupled processes as e.g. the interaction of fluids and structures as a special case of great importance. The latest developments of computational technologies regarding physical modelling, numerical mathematics, computer science and hardware make it possible to tackle those problems to determine solutions of a new quality. The actual challenge is to further develop models and methods to deal with the optimization and the optimal control of coupled structures and systems due to their interaction with the environment. The project will adopt the "Concurrent Simulation" paradigm. It is a technology of great potential allowing for the flexible and generic combination of as many individual physical solvers as necessary which run in parallel sharing the coupling information on the fly. The goals of the project are to extend those methods for the optimization of such structures and their optimal control in action. There are great methodological challenges regarding how to develop general algorithms for optimal control and optimization based on adjoint procedures in space and time which support the co-simulation frame and prove to be robust, stable and consistent. Prototype applications to energy harvesting systems from wind will show the success. The project will profit from the cooperation with leading industry and companies from mechanical and civil engineering.
Failer, L., Meidner, D., & Vexler, B. (2016). Optimal Control of a Linear Unsteady Fluid–Structure Interaction Problem. Journal of Optimization Theory and Applications, 1-27. doi: 10.1007/s10957-016-0930-1
Asl, R. N., Baumgärtner, D., Bletzinger, K. U. (2015) Towards shape optimization of steady-state fluid-structure interaction problems using vertex morphing". 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. doi: 10.2514/6.2015-3356