Evidence map›Paper›PMID 36380845›Full record

ArticleJournal Of Elasticity2021

A Hybrid Microstructural-Continuum Multiscale Approach for Modeling Hyperelastic Fibrous Soft Tissue.

Maryam Nikpasand, Ryan R Mahutga, Lauren M Bersie-Larson, Elizabeth Gacek, Victor H Barocas

Abstract read
In one paragraph

Article in Journal Of Elasticity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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.

Maryam NikpasandDepartment of Mechanical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Ryan R MahutgaDepartment of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Lauren M Bersie-LarsonDepartment of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Elizabeth GacekDepartment of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Victor H BarocasDepartment of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.

Funding

Project 2: Cell Migration in Mechanically Complex MicroenvironmentsU54CA210190 · NCI · UNIVERSITY OF MINNESOTA · PI ODDE, DAVID J. · 2016 to 2020
$10.0M
Multiscale Modeling of Facet CapsuleMechanobiologyU01AT010326 · NCCIH · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H, WINKELSTEIN, BETH A · 2018 to 2022
$3.4M
Musculoskeletal Training GrantT32AR050938 · NIAMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI CLOHISY, DENIS R · 2004 to 2020
$3.0M
Multiscale Model of Ascending Thoracic Aortic AneurysmU01HL139471 · NHLBI · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H · 2018 to 2021
$1.6M
NCCIH NIH HHS U01 AT010326NCI NIH HHS U54 CA210190NHLBI NIH HHS U01 HL139471NIAMS NIH HHS T32 AR050938
6 · The paper itself

Abstract

The heterogeneous, nonlinear, anisotropic material behavior of biological tissues makes precise definition of an accurate constitutive model difficult. One possible solution to this issue would be to define microstructural elements and perform fully coupled multiscale simulation. However, for complex geometries and loading scenarios, the computational costs of such simulations can be prohibitive. Ideally then, we should seek a method that contains microstructural detail, but leverages the speed of classical continuum-based finite-element (FE) modeling. In this work, we demonstrate the use of the Holzapfel-Gasser-Ogden (HGO) model [1, 2] to fit the behavior of microstructural network models. We show that Delaunay microstructural networks can be fit to the HGO strain energy function by calculating fiber network strain energy and average fiber stretch ratio. We then use the HGO constitutive model in a FE framework to improve the speed of our hybrid model, and demonstrate that this method, combined with a material property update scheme, can match a full multiscale simulation. This method gives us flexibility in defining complex FE simulations that would be impossible, or at least prohibitively time consuming, in multiscale simulation, while still accounting for microstructural heterogeneity.

Indexed as

arteryfacet capsular ligamentFiber networkHGO modelmultiscale biomechanics

Identifiers

PMID36380845
PMCPMC9648697

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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.