Numerical modelling of the cerebrospinal fluid
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/33801 |
Resumo: | Traffic accidents are still presented today as a problem of great relevance, as more than 50 million people are injured or seriously injured every year and, as a consequence of this, brain damage represents very serious impacts that need to be be evaluated. The tests needed to carry out this assessment are highly complex on cadavers and illegal on live individuals. In this sense, there is a great need to develop finite element models of the human being’s head, not only to assess its response to impacts, but also to assist in the design of protection and safety equipment. In this dissertation a new method of modeling the cerebrospinal fluid (fluid cavity) is implemented and validated against experimental data. This method has the advantage of facilitating the description of the CSF and of solving the mesh distortion problem of current techniques, however it does not conveniently translate its functionality which leads to it still producing less accurate results. |
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Numerical modelling of the cerebrospinal fluidCerebropsinal fluidDura materFinite element head modelTraffic accidents are still presented today as a problem of great relevance, as more than 50 million people are injured or seriously injured every year and, as a consequence of this, brain damage represents very serious impacts that need to be be evaluated. The tests needed to carry out this assessment are highly complex on cadavers and illegal on live individuals. In this sense, there is a great need to develop finite element models of the human being’s head, not only to assess its response to impacts, but also to assist in the design of protection and safety equipment. In this dissertation a new method of modeling the cerebrospinal fluid (fluid cavity) is implemented and validated against experimental data. This method has the advantage of facilitating the description of the CSF and of solving the mesh distortion problem of current techniques, however it does not conveniently translate its functionality which leads to it still producing less accurate results.Os acidentes de viação apresentam-se ainda hoje em dia como um problema de grande relevância, visto que mais de 50 milhões de pessoas são feridas ou gravemente feridas todos os anos e, como consequência disto, os danos cerebrais representam impactos muito graves que precisam de ser avaliados. Os testes necessários para efectuar essa avaliação são de elevada complexidade em cadáveres e ilegais em individuos vivos. Neste sentido existe uma grande necessidade de desenvolvimento de modelos de elementos finitos da cabeça do ser humano não só para avaliar a resposta desta em impactos mas também para auxilio no design de equipamentos de protecção e segurança. Nesta dissertação um novo método de modelar o liquido cefalorraquidiano (fluid cavity ) é implementado e validado contra dados experimentais. Este método tem a vantagem de facilitar a discritização do CSF e de resolver o problema de distorção de malha das técnicas actuais no entanto não traduz convenientemente a funcionalidade do mesmo o que leva a que ainda assim produza resultados menos precisos.2022-05-04T12:13:14Z2021-12-14T00:00:00Z2021-12-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/33801engVidal, Rui Pedro de Oliveirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:05:02Zoai:ria.ua.pt:10773/33801Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:05:09.082371Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Numerical modelling of the cerebrospinal fluid |
title |
Numerical modelling of the cerebrospinal fluid |
spellingShingle |
Numerical modelling of the cerebrospinal fluid Vidal, Rui Pedro de Oliveira Cerebropsinal fluid Dura mater Finite element head model |
title_short |
Numerical modelling of the cerebrospinal fluid |
title_full |
Numerical modelling of the cerebrospinal fluid |
title_fullStr |
Numerical modelling of the cerebrospinal fluid |
title_full_unstemmed |
Numerical modelling of the cerebrospinal fluid |
title_sort |
Numerical modelling of the cerebrospinal fluid |
author |
Vidal, Rui Pedro de Oliveira |
author_facet |
Vidal, Rui Pedro de Oliveira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Vidal, Rui Pedro de Oliveira |
dc.subject.por.fl_str_mv |
Cerebropsinal fluid Dura mater Finite element head model |
topic |
Cerebropsinal fluid Dura mater Finite element head model |
description |
Traffic accidents are still presented today as a problem of great relevance, as more than 50 million people are injured or seriously injured every year and, as a consequence of this, brain damage represents very serious impacts that need to be be evaluated. The tests needed to carry out this assessment are highly complex on cadavers and illegal on live individuals. In this sense, there is a great need to develop finite element models of the human being’s head, not only to assess its response to impacts, but also to assist in the design of protection and safety equipment. In this dissertation a new method of modeling the cerebrospinal fluid (fluid cavity) is implemented and validated against experimental data. This method has the advantage of facilitating the description of the CSF and of solving the mesh distortion problem of current techniques, however it does not conveniently translate its functionality which leads to it still producing less accurate results. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-14T00:00:00Z 2021-12-14 2022-05-04T12:13:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/33801 |
url |
http://hdl.handle.net/10773/33801 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137706490462208 |