preCICE v2: A sustainable and user-friendly coupling library

Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, F.; Uekérmann, Benjamin; Abrams, Georg; Bungartz, Hans‐Joachim; Yau, Lucia Cheung; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, D. P.; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Koseomur, Oguz Ziya

doi:10.12688/openreseurope.14445.2

Cited by 28 publications

(29 citation statements)

References 100 publications

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“…UM-Bridge is, to our knowledge, the first universal model interface geared towards uncertainty quantification. Frameworks with somewhat similar architectures exist in related fields, for example preCICE (Chourdakis et al, 2022). However, their particular focus (coupling meshes across different numerical simulation codes, in case of preCICE) makes them less suitable for UQ.…”

Section: Statement Of Needmentioning

confidence: 99%

UM-Bridge: Uncertainty quantification and modeling bridge

Seelinger¹,

Cheng-Seelinger²,

Davis³

et al. 2023

JOSS

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UM-Bridge (the uncertainty quantification (UQ) and modeling bridge) provides a unified interface for numerical models that is accessible from any programming language or framework. It is primarily intended for coupling advanced models (e.g., simulations of complex physical processes) to advanced statistical or optimization methods for UQ without requiring the model and UQ algorithms to share a common computational environment.

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Section: Statement Of Needmentioning

confidence: 99%

UM-Bridge: Uncertainty quantification and modeling bridge

Seelinger¹,

Cheng-Seelinger²,

Davis³

et al. 2023

JOSS

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“…Both simulation instances (solvers) are coupled using the open-source partitioned multi-physics coupling library preCICE [8,11]. It connects existing libraries, which simulate a subpart of the complete physics involved in a simulation.…”

Section: Fem Discretisationmentioning

confidence: 99%

A partitioned computational framework for damage evolution in stress corrosion cracking utilizing phase‐field

Kandekar

Ravikumar

Höche

et al. 2023

Proc Appl Math and Mech

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Dissolution-driven stress corrosion cracking is a complicated multi-physics phenomenon consisting of coupling between mechanical stress and corrosion. In this coupled electro-chemo-mechanical problem, the combined effects of mechanical field, localised corrosion and the microstructure with the effects of grain boundaries are investigated. Therein, corrosion kinetics are accelerated by mechanical straining and also affected by the different material properties along the grain boundaries. A phase-field modelling approach, a method for regularizing sharp interfaces with smooth gradients, is utilized to describe the metal-electrolyte interface during localized metal dissolution. The current contribution presents a partitioned computational framework, as an extension of recently published works for solving pitting corrosion and stress corrosion cracking at the micro-scale. In this extension, mechanically assisted corrosion is coupled bi-directionally and solved on two software instances facilitating simulation at different time scales, using an open-source coupling software. The performance of the proposed computational framework is demonstrated through various deterioration model system situations in 2D.

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“…Similar to the example perpendicular flap, one of the tutorials in preCICE [6], we consider a two-dimensional fluid flowing through a channel with a solid, elastic flap fixed to the floor of the channel. The flap oscillates due to the fluid pressure building up on its surface.…”

Section: Problem Setup and Numerical Solvingmentioning

confidence: 99%

“…In this research, we want to provide an open source setup for a strongly coupled FSI simulation that can predict large deformations induced by a high-fidelity fluid solution. Therefore, we couple the fluid solver openFOAM and the structural solver deal.II via the software preCICE [6].…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid‐Structure Interaction towards Simulating Large Wind Turbines with openFOAM and deal.II Coupled via preCICE

Mang

Ahrens

Seume

et al. 2023

Proc Appl Math and Mech

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Wind energy is an essential part of the Green Deal. The trend to increase the size of wind turbines, especially offshore, introduces additional dynamic effects at the long and flexible blades. Embedded in the CRC 1463, DFG, we are working on the fluid-structure interaction to avoid dynamic stall and investigate flutter effects and blade breathing of ultra-slim blades [1,2]. This requires an accurate numerical setup that reliably captures the fluid-structure interactions due to the highly turbulent flow and large deformations of the blades. In preliminary work, the Unsteady Reynolds-averaged Navier-Stokes method (URANS) in openFOAM [3] was used to simulate the flow around rotating helicopter blades with a changing angle of attack.[4] successfully predicted the distinct dynamic stall hysteresis with moderate computational effort and captured extreme values (load peaks) within the experimental uncertainties. This aerodynamic solver is to be coupled with a structural solution, for which deal. II [5] provides the linear elastic blade model. The fluid and the structure solvers are coupled via the software preCICE [6] and solved with a staggered approach. Numerical results are presented for a simplified 2D cross-section of a rectangular solid of carbon-fiber-reinforced polymers and a steady inflow velocity. Key challenges for the coupling of the solvers are discussed and the future work is outlined.

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preCICE v2: A sustainable and user-friendly coupling library

Cited by 28 publications

References 100 publications

UM-Bridge: Uncertainty quantification and modeling bridge

UM-Bridge: Uncertainty quantification and modeling bridge

A partitioned computational framework for damage evolution in stress corrosion cracking utilizing phase‐field

Computational Fluid‐Structure Interaction towards Simulating Large Wind Turbines with openFOAM and deal.II Coupled via preCICE

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