1 resultado para Discontinuous Crack Growth Model
em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)
Filtro por publicador
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (7)
- Aquatic Commons (26)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (7)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (7)
- Aston University Research Archive (55)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (17)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (7)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (20)
- Brock University, Canada (2)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (69)
- CentAUR: Central Archive University of Reading - UK (20)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (66)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (7)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (8)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (2)
- Digital Commons at Florida International University (8)
- DigitalCommons@The Texas Medical Center (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (4)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (5)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (75)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (2)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Memorial University Research Repository (2)
- Ministerio de Cultura, Spain (1)
- National Aerospace Laboratory (NLR) Reports Repository (1)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (7)
- Publishing Network for Geoscientific & Environmental Data (8)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (32)
- Queensland University of Technology - ePrints Archive (167)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (31)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (59)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad del Rosario, Colombia (7)
- Universidad Politécnica de Madrid (28)
- Universidade Complutense de Madrid (3)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universidade Metodista de São Paulo (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Montréal (1)
- Université de Montréal, Canada (7)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (2)
- University of Michigan (4)
- University of Queensland eSpace - Australia (15)
- University of Washington (3)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
A significant part of the life of a mechanical component occurs, the crack propagation stage in fatigue. Currently, it is had several mathematical models to describe the crack growth behavior. These models are classified into two categories in terms of stress range amplitude: constant and variable. In general, these propagation models are formulated as an initial value problem, and from this, the evolution curve of the crack is obtained by applying a numerical method. This dissertation presented the application of the methodology "Fast Bounds Crack" for the establishment of upper and lower bounds functions for model evolution of crack size. The performance of this methodology was evaluated by the relative deviation and computational times, in relation to approximate numerical solutions obtained by the Runge-Kutta method of 4th explicit order (RK4). Has been reached a maximum relative deviation of 5.92% and the computational time was, for examples solved, 130,000 times more higher than achieved by the method RK4. Was performed yet an Engineering application in order to obtain an approximate numerical solution, from the arithmetic mean of the upper and lower bounds obtained in the methodology applied in this work, when you don’t know the law of evolution. The maximum relative error found in this application was 2.08% which proves the efficiency of the methodology "Fast Bounds Crack".