Evidence map›Paper›PMID 39206058›Full record

ArticleMethodsX2024

Method for computer tomography voxel-based finite element analysis and validation with digital image correlation system.

Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

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Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Debangshu PaulDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Zachariah ArwoodDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Pierre-Yves MulonUniversity of Tennessee College of Veterinary Medicine, 2407 River Dr, Knoxville, TN 37996, USA.
Dayakar PenumaduDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Timothy TrusterDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanical behavior of heterogeneous materials is becoming increasingly crucial across various fields, including aerospace engineering, composite materials development, geology, and biomechanics. While substantial literature exists on this topic, conventional methods often rely on commercial software packages. This study presents a framework for computed tomography (CT) scan-based finite element (FE) analysis of such materials using open-source software in most of the workflow. Our work focuses on three key aspects:1.Mesh generation that incorporates spatially varying mechanical properties and well-defined boundary conditions.2.Validation of the FE results through comparison with digital image correlation (DIC) system measurements.3.Open-source software utilization throughout the entire process, making it more accessible and cost-effective.This work aims to demonstrate the effectiveness of this framework for analyzing heterogeneous materials in various fields, offering a more accessible and affordable approach

Indexed as

Computed tomographyFinite element analysisNodal property projectionOpen sourcePhase-field modelingQuantitative Computed Tomography (QCT) based finite element analysis validated by digital image correlation systemSpatial density distributionVoxel-based mesh

Identifiers

PMID39206058
PMCPMC11350451

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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.