1 resultado para ecosystem-based adaptation
em Universidade do Minho
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (4)
- Aston University Research Archive (25)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (248)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (35)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (37)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (19)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ Center for the Blue Economy - Middlebury Institute of International Studies at Monterey (4)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (19)
- Digital Peer Publishing (2)
- Digital Repository at Iowa State University (1)
- DigitalCommons - The University of Maine Research (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (24)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (6)
- Ecology and Society (9)
- FUNDAJ - Fundação Joaquim Nabuco (3)
- Glasgow Theses Service (1)
- Institute of Public Health in Ireland, Ireland (1)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (11)
- Instituto Superior de Psicologia Aplicada - Lisboa (2)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (4)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (88)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- 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 (4)
- Repositório da Produção Científica e Intelectual da Unicamp (36)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositorio Institucional de la Universidad de Málaga (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (20)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (6)
- SAPIENTIA - Universidade do Algarve - Portugal (3)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo España (1)
- Scielo Saúde Pública - SP (3)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (41)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade de Madeira (1)
- Universidade do Minho (1)
- Universidade dos Açores - Portugal (2)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (10)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (39)
- Université de Montréal (1)
- Université de Montréal, Canada (7)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (1)
- University of Michigan (9)
- University of Queensland eSpace - Australia (119)
- University of Washington (3)
- WestminsterResearch - UK (4)
Resumo:
The observational method in tunnel engineering allows the evaluation in real time of the actual conditions of the ground and to take measures if its behavior deviates considerably from predictions. However, it lacks a consistent and structured methodology to use the monitoring data to adapt the support system in real time. The definition of limit criteria above which adaptation is required are not defined and complex inverse analysis procedures (Rechea et al. 2008, Levasseur et al. 2010, Zentar et al. 2001, Lecampion et al. 2002, Finno and Calvello 2005, Goh 1999, Cui and Pan 2012, Deng et al. 2010, Mathew and Lehane 2013, Sharifzadeh et al. 2012, 2013) may be needed to consistently analyze the problem. In this paper a methodology for the real time adaptation of the support systems during tunneling is presented. In a first step limit criteria for displacements and stresses are proposed. The methodology uses graphics that are constructed during the project stage based on parametric calculations to assist in the process and when these graphics are not available, since it is not possible to predict every possible scenario, inverse analysis calculations are carried out. The methodology is applied to the “Bois de Peu” tunnel which is composed by two tubes with over 500 m long. High uncertainty levels existed concerning the heterogeneity of the soil and consequently in the geomechanical design parameters. The methodology was applied in four sections and the results focus on two of them. It is shown that the methodology has potential to be applied in real cases contributing for a consistent approach of a real time adaptation of the support system and highlight the importance of the existence of good quality and specific monitoring data to improve the inverse analysis procedure.