1 resultado para Fundamental techniques of localization
em Digital Commons - Michigan Tech
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberystwyth University Repository - Reino Unido (4)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (14)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archive of European Integration (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (18)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (17)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (8)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (9)
- Boston University Digital Common (5)
- Brock University, Canada (14)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (28)
- Cambridge University Engineering Department Publications Database (25)
- CentAUR: Central Archive University of Reading - UK (53)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (54)
- Cochin University of Science & Technology (CUSAT), India (20)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (8)
- CORA - Cork Open Research Archive - University College Cork - Ireland (8)
- Cornell: DigitalCommons@ILR (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (4)
- Dalarna University College Electronic Archive (4)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (4)
- DigitalCommons@The Texas Medical Center (4)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (5)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (22)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (69)
- Instituto Politécnico do Porto, Portugal (3)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (5)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (82)
- Queensland University of Technology - ePrints Archive (148)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (3)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (11)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (2)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (10)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (19)
- University of Connecticut - USA (1)
- University of Michigan (52)
- University of Queensland eSpace - Australia (7)
- University of Washington (2)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
Materials are inherently multi-scale in nature consisting of distinct characteristics at various length scales from atoms to bulk material. There are no widely accepted predictive multi-scale modeling techniques that span from atomic level to bulk relating the effects of the structure at the nanometer (10-9 meter) on macro-scale properties. Traditional engineering deals with treating matter as continuous with no internal structure. In contrast to engineers, physicists have dealt with matter in its discrete structure at small length scales to understand fundamental behavior of materials. Multiscale modeling is of great scientific and technical importance as it can aid in designing novel materials that will enable us to tailor properties specific to an application like multi-functional materials. Polymer nanocomposite materials have the potential to provide significant increases in mechanical properties relative to current polymers used for structural applications. The nanoscale reinforcements have the potential to increase the effective interface between the reinforcement and the matrix by orders of magnitude for a given reinforcement volume fraction as relative to traditional micro- or macro-scale reinforcements. To facilitate the development of polymer nanocomposite materials, constitutive relationships must be established that predict the bulk mechanical properties of the materials as a function of the molecular structure. A computational hierarchical multiscale modeling technique is developed to study the bulk-level constitutive behavior of polymeric materials as a function of its molecular chemistry. Various parameters and modeling techniques from computational chemistry to continuum mechanics are utilized for the current modeling method. The cause and effect relationship of the parameters are studied to establish an efficient modeling framework. The proposed methodology is applied to three different polymers and validated using experimental data available in literature.