COUPLED2027

IS017 - Immersed Boundary and Interface Methods: Theory, Implementation and Applications

Organized by: E. Rank (Technical University of Munich, Germany), M. Larson (Umea University, Sweden), A. Massing (NTNU, Norway) and G. Scovazzi (Duke University, United States)
Keywords: CutFEM, Finite Cell Method, Immersed Boundary Methods, Interface Problems, Scaled Boundary Method
Immersed Boundary Methods (IBM) have attracted a substantial increase in attention over the past ten to fifteen years. Their central principle is to extend a computational domain to a larger one, typically with a simple shape that is easy to mesh. A finite element computation is performed on this extended domain, distinguishing interior and exterior regions from the original domain. Under the denotation ‘fictitious domain’ or ‘embedded domain methods’, the central principle has been followed since the 1960s. The recent new interest results from innovative and efficient algorithmic developments, mathematical analysis showing optimal convergence despite cut elements, the possibility to efficiently link these methods to various geometric models, and many new engineering applications. Many variants of Immersed Boundary Methods have been developed, like CutFEM, the Finite Cell Method, Unfitted Finite Elements, the Shifted Boundary Method, and Trimmed Isogeometric Analysis, to name a few. Challenges arising in Immersed Boundary Methods are closely related and even surpassed by those of problems with immersed interfaces, if these are not aligned to boundaries of elements. These issues naturally arise in coupled problems, where the coupling conditions – which are often associated with reduced continuity conditions – must be formulated in an immersed sense. In this Invited Session, we will focus on recent developments in Immersed Boundary and Interface Methods in a broad sense. Particular topics of interest include new algorithmic and theoretical developments, implementation aspects such as solvers, efficient treatment of different geometric models, open-source software, and applications focusing mainly on challenges for coupled problems.