Evidence map›Paper›PMID 38912295›Full record

ArticleJournal of computational physics2024

Pressure boundary conditions for immersed-boundary methods.

Ibrahim Nasuh Yildiran, Nikolaos Beratlis, Francesco Capuano, Yue-Hin Loke, Kyle Squires, Elias Balaras

Abstract read
In one paragraph

Article in Journal of computational physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ibrahim Nasuh YildiranDepartment of Mechanical and Aerospace Engineering, The George Washington University, 800 22nd Street NW, Washington DC, 20052, USA.
Nikolaos BeratlisSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, 85287, USA.
Francesco CapuanoDepartment of Fluid Mechanics, Universitat Politècnica de Catalunya - BarcelonaTech, 08019 Barcelona, Spain.
Yue-Hin LokeDivision of Cardiology, Children's National Health System, Washington, DC 20010, USA.
Kyle SquiresSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, 85287, USA.
Elias BalarasDepartment of Mechanical and Aerospace Engineering, The George Washington University, 800 22nd Street NW, Washington DC, 20052, USA.

Funding

Computational Modeling of Right Ventricular Intracardiac Flow in Tetralogy of FallotR21HL156045 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI LOKE, YUE-HIN · 2021 to 2022
$477k
NHLBI NIH HHS R21 HL156045
6 · The paper itself

Abstract

Immersed boundary methods have seen an enormous increase in popularity over the past two decades, especially for problems involving complex moving/deforming boundaries. In most cases, the boundary conditions on the immersed body are enforced via forcing functions in the momentum equations, which in the case of fractional step methods may be problematic due to: i) creation of slip-errors resulting from the lack of explicitly enforcing boundary conditions on the (pseudo-)pressure on the immersed body; ii) coupling of the solution in the fluid and solid domains via the Poisson equation. Examples of fractional-step formulations that simultaneously enforce velocity and pressure boundary conditions have also been developed, but in most cases the standard Poisson equation is replaced by a more complex system which requires expensive iterative solvers. In this work we propose a new formulation to enforce appropriate boundary conditions on the pseudo-pressure as part of a fractional-step approach. The overall treatment is inspired by the ghost-fluid method typically utilized in two-phase flows. The main advantage of the algorithm is that a standard Poisson equation is solved, with all the modifications needed to enforce the boundary conditions being incorporated within the right-hand side. As a result, fast solvers based on trigonometric transformations can be utilized. We demonstrate the accuracy and robustness of the formulation for a series of problems with increasing complexity.

Indexed as

Cartesian gridsDirect ForcingImmersed boundary methodLagrangian ForcingPressure boundary conditions

Identifiers

PMID38912295
PMCPMC11192505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.