Long-term analysis applied to mooring systems design
| Ano de defesa: | 2019 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | eng |
| Instituição de defesa: |
Universidade Federal do Rio de Janeiro
Brasil Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia Programa de Pós-Graduação em Engenharia Oceânica UFRJ |
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Link de acesso: | http://hdl.handle.net/11422/13796 |
Resumo: | This dissertation proposes a numerical/computational procedure alternative to the currently procedures used in the industry to obtain the extreme loads on offshore platforms’ mooring lines. In this context, the dissertation is based on the long-term response analysis methodology, applied to the design of conventional fixed mooring systems: FPSOs and Semi-Submersible in spread mooring configuration and turret– moored FPSOs (single point mooring). By the application of the proposed methodology, it is expected that offshore platforms’ mooring systems will be able to be designed with an appropriated reliability level for all lines – since the procedure presupposes the use of environmental data measured simultaneously, specific from the location where the Platform will be installed. The work was carried out using Dynasim software [1] to generate the time domain tension series, which were later post-processed by using computational codes developed with Python software [2]. Thus, another result of this work is the set of codes compiled specifically to perform the mooring analyses management and obtain the long-term responses based on tension time series. |
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Long-term analysis applied to mooring systems designAnálise de longo-prazo aplicada a projeto de sistemas de ancoragemLong-Term AnalysisMooring Systems AnalysisOffshore Platform Mooring SystemsCNPQ::ENGENHARIAS::ENGENHARIA NAVAL E OCEANICAThis dissertation proposes a numerical/computational procedure alternative to the currently procedures used in the industry to obtain the extreme loads on offshore platforms’ mooring lines. In this context, the dissertation is based on the long-term response analysis methodology, applied to the design of conventional fixed mooring systems: FPSOs and Semi-Submersible in spread mooring configuration and turret– moored FPSOs (single point mooring). By the application of the proposed methodology, it is expected that offshore platforms’ mooring systems will be able to be designed with an appropriated reliability level for all lines – since the procedure presupposes the use of environmental data measured simultaneously, specific from the location where the Platform will be installed. The work was carried out using Dynasim software [1] to generate the time domain tension series, which were later post-processed by using computational codes developed with Python software [2]. Thus, another result of this work is the set of codes compiled specifically to perform the mooring analyses management and obtain the long-term responses based on tension time series.Esta dissertação propõe um procedimento numérico/computacional alternativo aos procedimentos atualmente utilizados na indústria para obtenção de carregamentos extremos em linhas de ancoragem de plataformas offshore. Neste contexto, a dissertação está fundamentada na metodologia de análise de longo-prazo da resposta, aplicada no projeto de dimensionamento de sistemas de ancoragem convencionais fixos: FPSOs e Semi-Submersíveis em configuração tipo spread-mooring e FPSOs tipo turret (single point mooring). Através da aplicação da metodologia proposta, espera-se que os sistemas de ancoragem possam ser projetados com adequado e similar nível de confiabilidade em todas as linhas - uma vez que o procedimento pressupõe utilização de dados ambientais medidos simultaneamente, específicos da locação onde será instalada a plataforma. O trabalho foi realizado com auxílio do software Dynasim [1] para gerar as séries de tração no domínio do tempo, que posteriormente foram pós-processadas através de códigos computacionais desenvolvidos através do software Python [2]. Sendo assim, outro resultado deste trabalho é o conjunto de códigos compilados especificamente para realizar o gerenciamento das análises e obter as respostas de longo-prazo baseadas em sinais de tração no domínio do tempo.Universidade Federal do Rio de JaneiroBrasilInstituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de EngenhariaPrograma de Pós-Graduação em Engenharia OceânicaUFRJEsperança, Paulo de Tarso Themistocleshttp://lattes.cnpq.br/5803448714578356http://lattes.cnpq.br/6338148568891592Sagrilo, Luis Volnei Sudatihttp://lattes.cnpq.br/6902095526533812Videiro, Paulo MauricioOliveira, Mauro Costa deSeabra, Pedro de Amorim2021-02-22T19:13:16Z2023-12-21T03:07:28Z2019-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/11422/13796enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ2023-12-21T03:07:28Zoai:pantheon.ufrj.br:11422/13796Repositório InstitucionalPUBhttp://www.pantheon.ufrj.br/oai/requestpantheon@sibi.ufrj.bropendoar:2023-12-21T03:07:28Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false |
| dc.title.none.fl_str_mv |
Long-term analysis applied to mooring systems design Análise de longo-prazo aplicada a projeto de sistemas de ancoragem |
| title |
Long-term analysis applied to mooring systems design |
| spellingShingle |
Long-term analysis applied to mooring systems design Seabra, Pedro de Amorim Long-Term Analysis Mooring Systems Analysis Offshore Platform Mooring Systems CNPQ::ENGENHARIAS::ENGENHARIA NAVAL E OCEANICA |
| title_short |
Long-term analysis applied to mooring systems design |
| title_full |
Long-term analysis applied to mooring systems design |
| title_fullStr |
Long-term analysis applied to mooring systems design |
| title_full_unstemmed |
Long-term analysis applied to mooring systems design |
| title_sort |
Long-term analysis applied to mooring systems design |
| author |
Seabra, Pedro de Amorim |
| author_facet |
Seabra, Pedro de Amorim |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Esperança, Paulo de Tarso Themistocles http://lattes.cnpq.br/5803448714578356 http://lattes.cnpq.br/6338148568891592 Sagrilo, Luis Volnei Sudati http://lattes.cnpq.br/6902095526533812 Videiro, Paulo Mauricio Oliveira, Mauro Costa de |
| dc.contributor.author.fl_str_mv |
Seabra, Pedro de Amorim |
| dc.subject.por.fl_str_mv |
Long-Term Analysis Mooring Systems Analysis Offshore Platform Mooring Systems CNPQ::ENGENHARIAS::ENGENHARIA NAVAL E OCEANICA |
| topic |
Long-Term Analysis Mooring Systems Analysis Offshore Platform Mooring Systems CNPQ::ENGENHARIAS::ENGENHARIA NAVAL E OCEANICA |
| description |
This dissertation proposes a numerical/computational procedure alternative to the currently procedures used in the industry to obtain the extreme loads on offshore platforms’ mooring lines. In this context, the dissertation is based on the long-term response analysis methodology, applied to the design of conventional fixed mooring systems: FPSOs and Semi-Submersible in spread mooring configuration and turret– moored FPSOs (single point mooring). By the application of the proposed methodology, it is expected that offshore platforms’ mooring systems will be able to be designed with an appropriated reliability level for all lines – since the procedure presupposes the use of environmental data measured simultaneously, specific from the location where the Platform will be installed. The work was carried out using Dynasim software [1] to generate the time domain tension series, which were later post-processed by using computational codes developed with Python software [2]. Thus, another result of this work is the set of codes compiled specifically to perform the mooring analyses management and obtain the long-term responses based on tension time series. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-09 2021-02-22T19:13:16Z 2023-12-21T03:07:28Z |
| 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/11422/13796 |
| url |
http://hdl.handle.net/11422/13796 |
| 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.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro Brasil Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia Programa de Pós-Graduação em Engenharia Oceânica UFRJ |
| publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro Brasil Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia Programa de Pós-Graduação em Engenharia Oceânica UFRJ |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRJ instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
| instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
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UFRJ |
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UFRJ |
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Repositório Institucional da UFRJ |
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Repositório Institucional da UFRJ |
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Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ) |
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pantheon@sibi.ufrj.br |
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1831773712178741248 |