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Estatística
Título: NUMERICAL ANALYSIS OF FLEXIBLE PIPE TENSILE ARMOR WIRE CURVATURE DURING FOLDING PROCESS
Autor(es): LUCAS RODRIGO DE LIMA SOARES CARNEIRO
Colaborador(es): CARLOS ALBERTO DE ALMEIDA - Orientador
Catalogação: 19/JUL/2019 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=41868@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=41868@2
DOI: https://doi.org/10.17771/PUCRio.acad.41868
Resumo:
This work presents and compares two 2D finite elements models to evaluate the flexible pipe tensile armor wire curvature during the folding process. Both models were simulated in commercial finite elements software ANSYS and with it is possible to analyse the wire curvature after folding process. Additionally, it is also possible to evaluate curvature after the spring back. The first model consists in a cantilever wire subjected to pure bending with geometric and physical material nonlinearity. In the second model, a cantilever wire is conformed in a collar with help of a cylinder and to this is added contact nonlinearity. Both models generate results to elastic, elastic perfectly plastic and elastic-plastic bilinear materials behavior and their results are also compared with an analytical model available in the literature. It is concluded that the conforming wire model needs more computational efforts to converge than the first model due to contacts between components. In return, the second model generates better results when plasticity behaviors are adopted.
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