A monolithic projection framework for constrained FSI problems with the immersed boundary method

A monolithic projection framework for constrained fluid–structure interaction (CFSI) problems is proposed to solve multi-structure and multi-constraint problems. Immersed boundary method (IBM) in the continuous forcing form is used to evaluate the constraint force on the fluid–structure interface du...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computer methods in applied mechanics and engineering 2020-11, Vol.371, p.113332, Article 113332
Hauptverfasser: Wang, Luohao, Xie, Chunmei, Huang, Weixi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A monolithic projection framework for constrained fluid–structure interaction (CFSI) problems is proposed to solve multi-structure and multi-constraint problems. Immersed boundary method (IBM) in the continuous forcing form is used to evaluate the constraint force on the fluid–structure interface due to the no-slip boundary condition. Besides, constraints from material properties and inter-structure dynamics are uniformly considered. All subsystems are assembled into a monolithic system and solved efficiently with approximate LU decomposition. Simulations of the flapping filament, flapping flag, windsock waggling and parachute deploying cases are conducted to examine the accuracy, efficiency and capability for bilateral and unilateral constraints of the FSI systems, respectively. The results show nearly second-order accuracy temporally, along with significant efficiency improvement. [Display omitted] •A monolithic representation for general fluid–structure interaction problems.•A nested decomposition strategy for multi-constraint monolithic system.•A unified projection framework and its call graph representation.•Fast inextensible membrane dynamics solutions in 2D and 3D.•High accuracy handling for unilateral and bilateral constraints.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2020.113332