1 resultado para time-driven activity-based costing
em Coffee Science - Universidade Federal de Lavras
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Jönköping University; Sweden) (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (31)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (8)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (29)
- Boston University Digital Common (1)
- Brock University, Canada (10)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cambridge University Engineering Department Publications Database (14)
- CentAUR: Central Archive University of Reading - UK (26)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (27)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (5)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (7)
- Dalarna University College Electronic Archive (6)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons at Florida International University (7)
- DigitalCommons@The Texas Medical Center (16)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (3)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (9)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (18)
- Instituto Politécnico de Bragança (2)
- Instituto Politécnico de Leiria (1)
- Instituto Politécnico do Porto, Portugal (10)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (20)
- Massachusetts Institute of Technology (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (2)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (13)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (122)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositorio Academico Digital UANL (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório Científico do Instituto Politécnico de Santarém - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (13)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (3)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (62)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo España (2)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (20)
- Universidad Politécnica de Madrid (17)
- Universidade Complutense de Madrid (3)
- Universidade de Madeira (1)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (10)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (3)
- Université de Lausanne, Switzerland (4)
- Université de Montréal (1)
- Université de Montréal, Canada (8)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (1)
- University of Queensland eSpace - Australia (8)
- University of Southampton, United Kingdom (1)
- University of Washington (3)
- WestminsterResearch - UK (1)
Resumo:
A subfilter-scale (SFS) stress model is developed for large-eddy simulations (LES) and is tested on various benchmark problems in both wall-resolved and wall-modelled LES. The basic ingredients of the proposed model are the model length-scale, and the model parameter. The model length-scale is defined as a fraction of the integral scale of the flow, decoupled from the grid. The portion of the resolved scales (LES resolution) appears as a user-defined model parameter, an advantage that the user decides the LES resolution. The model parameter is determined based on a measure of LES resolution, the SFS activity. The user decides a value for the SFS activity (based on the affordable computational budget and expected accuracy), and the model parameter is calculated dynamically. Depending on how the SFS activity is enforced, two SFS models are proposed. In one approach the user assigns the global (volume averaged) contribution of SFS to the transport (global model), while in the second model (local model), SFS activity is decided locally (locally averaged). The models are tested on isotropic turbulence, channel flow, backward-facing step and separating boundary layer. In wall-resolved LES, both global and local models perform quite accurately. Due to their near-wall behaviour, they result in accurate prediction of the flow on coarse grids. The backward-facing step also highlights the advantage of decoupling the model length-scale from the mesh. Despite the sharply refined grid near the step, the proposed SFS models yield a smooth, while physically consistent filter-width distribution, which minimizes errors when grid discontinuity is present. Finally the model application is extended to wall-modelled LES and is tested on channel flow and separating boundary layer. Given the coarse resolution used in wall-modelled LES, near the wall most of the eddies become SFS and SFS activity is required to be locally increased. The results are in very good agreement with the data for the channel. Errors in the prediction of separation and reattachment are observed in the separated flow, that are somewhat improved with some modifications to the wall-layer model.