Abstract Summary
Computational efficiency has remained one of the major barriers constraining the development of computational approaches for simulating many industrial problems involving fluid-structure interaction. The most efficient algorithms are the partitioned staggered solution approaches. These methods require one execution of the solid and fluid sub-solvers per time step. However, such strategies usually lack robustness and efficiency. In this work, we propose robust second-order accurate staggered solution schemes for fluid-structure interaction. These approaches are based on linear combinations of higher-order predictors and are based on Dirichlet–Neumann coupling. The schemes are unconditionally stable to a high amount of added mass and are suitable for code coupling. These schemes are developed and tested in the setting of one-dimensional model problems. The performance of the methods in the context of multi-axial finite element computations is demonstrated using numerical evaluations and benchmark problems.
