1 resultado para Non-linear multiple regression
em Institutional Repository of Leibniz University Hannover
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (17)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (11)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archive of European Integration (1)
- Aston University Research Archive (68)
- Biblioteca de Teses e Dissertações da USP (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (12)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (100)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (7)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (31)
- Brock University, Canada (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CentAUR: Central Archive University of Reading - UK (69)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (3)
- Cochin University of Science & Technology (CUSAT), India (10)
- Collection Of Biostatistics Research Archive (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (27)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (21)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (9)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (10)
- DRUM (Digital Repository at the University of Maryland) (1)
- eScholarship Repository - University of California (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto de Engenharia Nuclear, Brazil - Carpe dIEN (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico do Porto, Portugal (25)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (2)
- Ministerio de Cultura, Spain (2)
- Open University Netherlands (1)
- Publishing Network for Geoscientific & Environmental Data (5)
- QSpace: Queen's University - Canada (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (2)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (15)
- Repositório da Produção Científica e Intelectual da Unicamp (25)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal de Goiás - UFG (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (124)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (8)
- Scielo Saúde Pública - SP (32)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (8)
- Universidad Politécnica de Madrid (35)
- Universidade Complutense de Madrid (3)
- Universidade do Minho (2)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (18)
- Universidade Metodista de São Paulo (3)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (33)
- Université de Montréal, Canada (16)
- Université Laval Mémoires et thèses électroniques (2)
- University of Connecticut - USA (1)
- University of Michigan (10)
- University of Queensland eSpace - Australia (74)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
The accurate prediction of stress histories for the fatigue analysis is of utmost importance for the design process of wind turbine rotor blades. As detailed, transient, and geometrically non-linear three-dimensional finite element analyses are computationally weigh too expensive, it is commonly regarded sufficient to calculate the stresses with a geometrically linear analysis and superimpose different stress states in order to obtain the complete stress histories. In order to quantify the error from geometrically linear simulations for the calculation of stress histories and to verify the practical applicability of the superposition principal in fatigue analyses, this paper studies the influence of geometric non-linearity in the example of a trailing edge bond line, as this subcomponent suffers from high strains in span-wise direction. The blade under consideration is that of the IWES IWT-7.5-164 reference wind turbine. From turbine simulations the highest edgewise loading scenario from the fatigue load cases is used as the reference. A 3D finite element model of the blade is created and the bond line fatigue assessment is performed according to the GL certification guidelines in its 2010 edition, and in comparison to the latest DNV GL standard from end of 2015. The results show a significant difference between the geometrically linear and non-linear stress analyses when the bending moments are approximated via a corresponding external loading, especially in case of the 2010 GL certification guidelines. This finding emphasizes the demand to reconsider the application of the superposition principal in fatigue analyses of modern flexible rotor blades, where geometrical nonlinearities become significant. In addition, a new load application methodology is introduced that reduces the geometrically non-linear behaviour of the blade in the finite element analysis.