Evidence map›Paper›PMID 34060803›Full record

ArticleACS biomaterials science & engineering2023

Image-Based Polygonal Lattices for Mechanical Modeling of Biological Materials: 2D Demonstrations.

Di Liu, Chao Chen, Teng Zhang

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Di LiuDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244, United States.
Chao ChenDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244, United States.
Teng ZhangDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244, United States.ORCID 0000-0001-5001-8485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the structure-property relationship of biological materials, such as bones, teeth, cells, and biofilms, is critical for diagnosing diseases and developing bioinspired materials and structures. The intrinsic multiphase heterogeneity with interfaces places great challenges for mechanical modeling. Here, we develop an image-based polygonal lattice model for simulating the mechanical deformation of biological materials with complicated shapes and interfaces. The proposed lattice model maintains the uniform meshes inside the homogeneous phases and restricts the irregular polygonal meshes near the boundaries or interfaces. This approach significantly simplifies the mesh generation from images of biological structures with complicated geometries. The conventional finite element simulations validate this polygonal lattice model. We further demonstrate that the image-based polygonal lattices generate meshes from images of composite structures with multiple inclusions and capture the nonlinear mechanical deformation. We conclude the paper by highlighting a few future research directions that will benefit from the functionalities of polygonal lattice modeling.

Indexed as

Models, BiologicalProstheses and ImplantsComputer Simulationbiomaterialsbiomimetic compositesimage-based simulationpolygonal lattice model

Identifiers

PMID34060803
PMCPMC10336744

What OpenQuestion holds

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Registered trials

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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.