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The intervals method: a new approach to analyse finite element outputs using multivariate statistics

BACKGROUND: In this paper, we propose a new method, named the intervals’ method, to analyse data from finite element models in a comparative multivariate framework. As a case study, several armadillo mandibles are analysed, showing that the proposed method is useful to distinguish and characterise b...

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Autores principales: Marcé-Nogué, Jordi, De Esteban-Trivigno, Soledad, Püschel, Thomas A., Fortuny, Josep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642245/
https://www.ncbi.nlm.nih.gov/pubmed/29043107
http://dx.doi.org/10.7717/peerj.3793
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author Marcé-Nogué, Jordi
De Esteban-Trivigno, Soledad
Püschel, Thomas A.
Fortuny, Josep
author_facet Marcé-Nogué, Jordi
De Esteban-Trivigno, Soledad
Püschel, Thomas A.
Fortuny, Josep
author_sort Marcé-Nogué, Jordi
collection PubMed
description BACKGROUND: In this paper, we propose a new method, named the intervals’ method, to analyse data from finite element models in a comparative multivariate framework. As a case study, several armadillo mandibles are analysed, showing that the proposed method is useful to distinguish and characterise biomechanical differences related to diet/ecomorphology. METHODS: The intervals’ method consists of generating a set of variables, each one defined by an interval of stress values. Each variable is expressed as a percentage of the area of the mandible occupied by those stress values. Afterwards these newly generated variables can be analysed using multivariate methods. RESULTS: Applying this novel method to the biological case study of whether armadillo mandibles differ according to dietary groups, we show that the intervals’ method is a powerful tool to characterize biomechanical performance and how this relates to different diets. This allows us to positively discriminate between specialist and generalist species. DISCUSSION: We show that the proposed approach is a useful methodology not affected by the characteristics of the finite element mesh. Additionally, the positive discriminating results obtained when analysing a difficult case study suggest that the proposed method could be a very useful tool for comparative studies in finite element analysis using multivariate statistical approaches.
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spelling pubmed-56422452017-10-17 The intervals method: a new approach to analyse finite element outputs using multivariate statistics Marcé-Nogué, Jordi De Esteban-Trivigno, Soledad Püschel, Thomas A. Fortuny, Josep PeerJ Animal Behavior BACKGROUND: In this paper, we propose a new method, named the intervals’ method, to analyse data from finite element models in a comparative multivariate framework. As a case study, several armadillo mandibles are analysed, showing that the proposed method is useful to distinguish and characterise biomechanical differences related to diet/ecomorphology. METHODS: The intervals’ method consists of generating a set of variables, each one defined by an interval of stress values. Each variable is expressed as a percentage of the area of the mandible occupied by those stress values. Afterwards these newly generated variables can be analysed using multivariate methods. RESULTS: Applying this novel method to the biological case study of whether armadillo mandibles differ according to dietary groups, we show that the intervals’ method is a powerful tool to characterize biomechanical performance and how this relates to different diets. This allows us to positively discriminate between specialist and generalist species. DISCUSSION: We show that the proposed approach is a useful methodology not affected by the characteristics of the finite element mesh. Additionally, the positive discriminating results obtained when analysing a difficult case study suggest that the proposed method could be a very useful tool for comparative studies in finite element analysis using multivariate statistical approaches. PeerJ Inc. 2017-10-13 /pmc/articles/PMC5642245/ /pubmed/29043107 http://dx.doi.org/10.7717/peerj.3793 Text en ©2017 Marcé-Nogué et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Animal Behavior
Marcé-Nogué, Jordi
De Esteban-Trivigno, Soledad
Püschel, Thomas A.
Fortuny, Josep
The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title_full The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title_fullStr The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title_full_unstemmed The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title_short The intervals method: a new approach to analyse finite element outputs using multivariate statistics
title_sort intervals method: a new approach to analyse finite element outputs using multivariate statistics
topic Animal Behavior
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642245/
https://www.ncbi.nlm.nih.gov/pubmed/29043107
http://dx.doi.org/10.7717/peerj.3793
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