Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos

Detalhes bibliográficos
Autor(a) principal: Santiago, Carlos Alexandre de Almeida
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
Texto Completo: http://www.bdtd.uerj.br/handle/1/16382
Resumo: The search for reliable parameters for a correct analysis is one of the great challenges found in the project area for geotechnical engineering works. Factors such as the high cost of more accurate testing, the delay in obtaining results, and errors during investigations result in technical complications for design professionals. The aim of this dissertation is to present a method of obtaining parameters for pressuremeter tests from numerical analysis aided by a specific Python Script. At the end will be a back analysis of a case where design parameters were obtained through PMT (Pressuremeter Menard Test), and compared with parameters resulting from the Python Script, values derived from geotechnical instrumentation and design previously performed. This methodology aims to implement a fast and effective choice for the use of data from pressuremeter tests. Through the automated reproduction of numerous numerical simulations of said test with different parameters, it will be possible to choose the values that lead to the curve most faithful to that obtained in the field test. The routine, initially developed by Eng. Francisco Santos Marques, was improved and underwent a series of modifications to properly work the case study work and with the updated version of Plaxis 2019 software. The results were used in a 3D model of the project of the Varnhagen Square rain damming reservoir, where it was possible to analyze the reliability of the proposal through the deformations found in the deformations measured at the local diaphragm walls.
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spelling Sieira, Ana Cristina Castro Fontenlahttp://lattes.cnpq.br/8653261732041736Pacheco, Marcus Peigashttp://lattes.cnpq.br/9883717994679157Nunes, Anna Laura Lopes da Silvahttp://lattes.cnpq.br/8904163798644771http://lattes.cnpq.br/2819308597990501Santiago, Carlos Alexandre de Almeida2021-07-23T23:49:30Z2019-10-29SANTIAGO, Carlos Alexandre de Almeida. Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos. 2019. 121 f. Dissertação (Mestrado em Engenharia Civil) - Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2019.http://www.bdtd.uerj.br/handle/1/16382The search for reliable parameters for a correct analysis is one of the great challenges found in the project area for geotechnical engineering works. Factors such as the high cost of more accurate testing, the delay in obtaining results, and errors during investigations result in technical complications for design professionals. The aim of this dissertation is to present a method of obtaining parameters for pressuremeter tests from numerical analysis aided by a specific Python Script. At the end will be a back analysis of a case where design parameters were obtained through PMT (Pressuremeter Menard Test), and compared with parameters resulting from the Python Script, values derived from geotechnical instrumentation and design previously performed. This methodology aims to implement a fast and effective choice for the use of data from pressuremeter tests. Through the automated reproduction of numerous numerical simulations of said test with different parameters, it will be possible to choose the values that lead to the curve most faithful to that obtained in the field test. The routine, initially developed by Eng. Francisco Santos Marques, was improved and underwent a series of modifications to properly work the case study work and with the updated version of Plaxis 2019 software. The results were used in a 3D model of the project of the Varnhagen Square rain damming reservoir, where it was possible to analyze the reliability of the proposal through the deformations found in the deformations measured at the local diaphragm walls.A busca por parâmetros confiáveis para uma correta análise é um dos grandes desafios encontrados na área de projetos para obras de Engenharia Geotécnica. Fatores como o alto custo de ensaios mais precisos, a demora em obter resultados, e os erros praticados durante as investigações resultam em complicações técnicas para os profissionais projetistas. O objetivo da presente dissertação é apresentar um método de obtenção de parâmetros para ensaios pressiométricos a partir de análises numéricas auxiliadas por uma rotina específica em linguagem Python. É realizada uma retroanálise de um caso onde foram obtidos parâmetros de projeto a partir de resultados de PMT (Pressuremeter Menard Test), e comparados com parâmetros resultantes da rotina Python, valores decorrentes de instrumentação geotécnica e de projeto anteriormente executado. Esta metodologia visa implementar uma escolha rápida e eficaz para a utilização de dados provenientes de ensaios pressiométricos. Através da reprodução automatizada de inúmeras simulações numéricas do referido ensaio com diferentes parâmetros, é possível a escolha dos valores que levam à curva mais fiel à obtida no ensaio de campo. A rotina, inicialmente desenvolvida pelo Eng. Francisco Santos Marques, foi aprimorada e passou por uma série de modificações para funcionar corretamente no estudo de caso, e com a versão atualizada do software Plaxis 2019. Os resultados encontrados foram utilizados em modelo 3D da obra de reservatório de amortecimento pluvial da Praça Varnhagen, onde foi possível analisar a confiabilidade da proposta através das medidas nas paredes diafragma do local.Submitted by Julia CTC/B (julia.vieira@uerj.br) on 2021-07-23T23:49:30Z No. of bitstreams: 1 Dissertação - Carlos Alexandre de Almeida Santiago - 2019 - Completo.pdf: 9783304 bytes, checksum: 7044feefe9e521a80356bca1b3f6bfee (MD5)Made available in DSpace on 2021-07-23T23:49:30Z (GMT). No. of bitstreams: 1 Dissertação - Carlos Alexandre de Almeida Santiago - 2019 - Completo.pdf: 9783304 bytes, checksum: 7044feefe9e521a80356bca1b3f6bfee (MD5) Previous issue date: 2019-10-29application/pdfporUniversidade do Estado do Rio de JaneiroPrograma de Pós-Graduação em Engenharia CivilUERJBrasilCentro de Tecnologia e Ciências::Faculdade de EngenhariaCivil engineeringGeotechnical engineeringSoil mechanicsMathematical modelsPython (Computer programming language)Pressuremeter testHardening soil modelPlaxis 2D e 3DEngenharia civilEngenharia geotécnicaMecânica do soloModelos matemáticosPython (Linguagem de programação de computador)Ensaio PMTEscavaçãoENGENHARIAS::ENGENHARIA CIVIL::GEOTECNICARetroanálise com o uso de rotina em Python aplicada a ensaios pressiométricosPython Script back-analysis applied to pressuremeter testsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJORIGINALDissertação - Carlos Alexandre de Almeida Santiago - 2019 - Completo.pdfDissertação - Carlos Alexandre de Almeida Santiago - 2019 - Completo.pdfapplication/pdf9783304http://www.bdtd.uerj.br/bitstream/1/16382/2/Disserta%C3%A7%C3%A3o+-+Carlos+Alexandre+de+Almeida+Santiago+-+2019+-+Completo.pdf7044feefe9e521a80356bca1b3f6bfeeMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82123http://www.bdtd.uerj.br/bitstream/1/16382/1/license.txte5502652da718045d7fcd832b79fca29MD511/163822024-02-27 14:52:26.464oai:www.bdtd.uerj.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.bdtd.uerj.br/PUBhttps://www.bdtd.uerj.br:8443/oai/requestbdtd.suporte@uerj.bropendoar:29032024-02-27T17:52:26Biblioteca Digital de Teses e Dissertações da UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false
dc.title.por.fl_str_mv Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
dc.title.alternative.eng.fl_str_mv Python Script back-analysis applied to pressuremeter tests
title Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
spellingShingle Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
Santiago, Carlos Alexandre de Almeida
Civil engineering
Geotechnical engineering
Soil mechanics
Mathematical models
Python (Computer programming language)
Pressuremeter test
Hardening soil model
Plaxis 2D e 3D
Engenharia civil
Engenharia geotécnica
Mecânica do solo
Modelos matemáticos
Python (Linguagem de programação de computador)
Ensaio PMT
Escavação
ENGENHARIAS::ENGENHARIA CIVIL::GEOTECNICA
title_short Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
title_full Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
title_fullStr Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
title_full_unstemmed Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
title_sort Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos
author Santiago, Carlos Alexandre de Almeida
author_facet Santiago, Carlos Alexandre de Almeida
author_role author
dc.contributor.advisor1.fl_str_mv Sieira, Ana Cristina Castro Fontenla
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8653261732041736
dc.contributor.referee1.fl_str_mv Pacheco, Marcus Peigas
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/9883717994679157
dc.contributor.referee2.fl_str_mv Nunes, Anna Laura Lopes da Silva
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8904163798644771
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/2819308597990501
dc.contributor.author.fl_str_mv Santiago, Carlos Alexandre de Almeida
contributor_str_mv Sieira, Ana Cristina Castro Fontenla
Pacheco, Marcus Peigas
Nunes, Anna Laura Lopes da Silva
dc.subject.eng.fl_str_mv Civil engineering
Geotechnical engineering
Soil mechanics
Mathematical models
Python (Computer programming language)
Pressuremeter test
Hardening soil model
Plaxis 2D e 3D
topic Civil engineering
Geotechnical engineering
Soil mechanics
Mathematical models
Python (Computer programming language)
Pressuremeter test
Hardening soil model
Plaxis 2D e 3D
Engenharia civil
Engenharia geotécnica
Mecânica do solo
Modelos matemáticos
Python (Linguagem de programação de computador)
Ensaio PMT
Escavação
ENGENHARIAS::ENGENHARIA CIVIL::GEOTECNICA
dc.subject.por.fl_str_mv Engenharia civil
Engenharia geotécnica
Mecânica do solo
Modelos matemáticos
Python (Linguagem de programação de computador)
Ensaio PMT
Escavação
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA CIVIL::GEOTECNICA
description The search for reliable parameters for a correct analysis is one of the great challenges found in the project area for geotechnical engineering works. Factors such as the high cost of more accurate testing, the delay in obtaining results, and errors during investigations result in technical complications for design professionals. The aim of this dissertation is to present a method of obtaining parameters for pressuremeter tests from numerical analysis aided by a specific Python Script. At the end will be a back analysis of a case where design parameters were obtained through PMT (Pressuremeter Menard Test), and compared with parameters resulting from the Python Script, values derived from geotechnical instrumentation and design previously performed. This methodology aims to implement a fast and effective choice for the use of data from pressuremeter tests. Through the automated reproduction of numerous numerical simulations of said test with different parameters, it will be possible to choose the values that lead to the curve most faithful to that obtained in the field test. The routine, initially developed by Eng. Francisco Santos Marques, was improved and underwent a series of modifications to properly work the case study work and with the updated version of Plaxis 2019 software. The results were used in a 3D model of the project of the Varnhagen Square rain damming reservoir, where it was possible to analyze the reliability of the proposal through the deformations found in the deformations measured at the local diaphragm walls.
publishDate 2019
dc.date.issued.fl_str_mv 2019-10-29
dc.date.accessioned.fl_str_mv 2021-07-23T23:49:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.citation.fl_str_mv SANTIAGO, Carlos Alexandre de Almeida. Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos. 2019. 121 f. Dissertação (Mestrado em Engenharia Civil) - Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2019.
dc.identifier.uri.fl_str_mv http://www.bdtd.uerj.br/handle/1/16382
identifier_str_mv SANTIAGO, Carlos Alexandre de Almeida. Retroanálise com o uso de rotina em Python aplicada a ensaios pressiométricos. 2019. 121 f. Dissertação (Mestrado em Engenharia Civil) - Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2019.
url http://www.bdtd.uerj.br/handle/1/16382
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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.publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Civil
dc.publisher.initials.fl_str_mv UERJ
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Centro de Tecnologia e Ciências::Faculdade de Engenharia
publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UERJ
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