Evidence map›Paper›PMID 33012877›Full record

ArticleAnnual review of fluid mechanics2020

Immersed Methods for Fluid-Structure Interaction.

Boyce E Griffith, Neelesh A Patankar

Abstract read
In one paragraph

Article in Annual review of fluid mechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Dynamics of pH Oscillators in Continuous Stirred Tanks in Series.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. A Nodal Immersed Finite Element-Finite Difference Method.Journal of computational physics · 2023
    Article
  19. Review
  20. A computational study of aortic reconstruction in single ventricle patients.Biomechanics and modeling in mechanobiology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Boyce E GriffithDepartments of Mathematics, Applied Physical Sciences, and Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Neelesh A PatankarDepartment of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, USA.

Funding

Role of altered response to volumetric distension in esophageal diseaseP01DK117824 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PANDOLFINO, JOHN E · 2018 to 2022
$7.3M
Multiscale Modeling of Clotting Risk in Atrial FibrillationU01HL143336 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2018 to 2022
$2.8M
Mathematical modeling and computer simulation of aortic dissectionR01HL117063 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2013 to 2017
$2.3M
NHLBI NIH HHS R01 HL117063NHLBI NIH HHS U01 HL143336NIDDK NIH HHS P01 DK117824
6 · The paper itself

Abstract

Fluid-structure interaction is ubiquitous in nature and occurs at all biological scales. Immersed methods provide mathematical and computational frameworks for modeling fluid-structure systems. These methods, which typically use an Eulerian description of the fluid and a Lagrangian description of the structure, can treat thin immersed boundaries and volumetric bodies, and they can model structures that are flexible or rigid or that move with prescribed deformational kinematics. Immersed formulations do not require body-fitted discretizations and thereby avoid the frequent grid regeneration that can otherwise be required for models involving large deformations and displacements. This article reviews immersed methods for both elastic structures and structures with prescribed kinematics. It considers formulations using integral operators to connect the Eulerian and Lagrangian frames and methods that directly apply jump conditions along fluid-structure interfaces. Benchmark problems demonstrate the effectiveness of these methods, and selected applications at Reynolds numbers up to approximately 20,000 highlight their impact in biological and biomedical modeling and simulation.

Indexed as

applications in medicine and biologyfluid–structure interactionimmersed boundary methodimmersed finite-element methodimmersed interface method

Identifiers

PMID33012877
PMCPMC7531444

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.