Evidence map›Paper›PMID 34203633›Full record

ArticleBiology2021

Biomechanical Behavior Characterization and Constitutive Models of Porcine Trabecular Tibiae.

Covadonga Quintana-Barcia, Cristina Rodríguez, Guillermo Álvarez, Antonio Maestro

Abstract read
In one paragraph

Article in Biology, 2021. 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Covadonga Quintana-BarciaSIMUMECAMAT Research Group, Universidad de Oviedo, 33203 Gijón, Spain.ORCID 0000-0001-9256-2323
Cristina RodríguezSIMUMECAMAT Research Group, Universidad de Oviedo, 33203 Gijón, Spain.ORCID 0000-0003-1130-9591
Guillermo ÁlvarezSIMUMECAMAT Research Group, Universidad de Oviedo, 33203 Gijón, Spain.ORCID 0000-0002-9537-6021
Antonio MaestroSIMUMECAMAT Research Group, Universidad de Oviedo, 33203 Gijón, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Customizing any trauma surgery requires prior planning by surgeons. Nowadays, the use of numerical tools is increasingly needed to facilitate this planning. The success of this analysis begins with the definition of all the mechanical constitutive models of the materials implied. Our target is the trabecular bone because almost all trauma surgeries are closely related to it. This work focuses on the experimental characterization of porcine trabecular tibiae and defining its best constitutive model. Therefore, different types of compression tests were performed with tibia samples. Once the potential constitutive models were defined, stress-strain state from numerical approaches were compared with the corresponding experimental results. Experimental results from uniaxial compression tests showed than trabecular bone exhibits clear anisotropy with more stiffness and strength when it is loaded in the tibia longitudinal direction. Results from confined compression tests confirmed that the plastic behavior of trabecular bone depends on the hydrostatic and deviatoric invariants, so an alternative formulation (crushable foam volumetric (CFV)) has been proposed to describe its behavior. A new method to obtain CFV characteristic parameters has been developed and validated. Predictions of the CFV model better describe trabecular bone mechanical behavior under confined conditions. In other cases, classical plasticity formulations work better.

Indexed as

confined compression testFEMmaterial behavior constitutive modelporcine trabecular boneuniaxial compression test

Identifiers

PMID34203633
PMCPMC8232288

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.