GPU-Based Fluid-Structure Interaction using Immersed Boundary Methods

Graduation date: 2017Engineering applications often require fast, accurate solutions of fluid flow around freely\ud moving bodies. The massive parallelism enabled by graphics processing unit (GPU)\ud architecture enables high performance, offering a promising alternative to traditional\ud solver acceleration via multicore central processing units (CPU). However, fully harnessing\ud GPU parallelism requires specialized algorithms and computing strategies. This work\ud modifies direct-forcing immersed boundary methods to model fluid-structure interaction\ud and investigates this behavior on GPUs. I performed solver verification using lid-driven\ud cavity flow, impulsively started flow over a cylinder, flow over a forced oscillating cylinder\ud and vortex-induced vibration