Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39548
Título: | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
Autor(es): | Matos, José C. Cruz, Paulo J. S. Valente, Isabel B. Neves, Luís C. Moreira, Vicente Novo |
Palavras-chave: | Structural assessment Uncertainty sources Model identification Optimization algorithm Reliability assessment Bayesian inference Reinforced concrete structures |
Data: | 2016 |
Editora: | Elsevier 1 |
Revista: | Engineering Structures |
Resumo(s): | A novel framework for probabilistic-based structural assessment of existing structures, which combines model identification and reliability assessment procedures, considering in an objective way different sources of uncertainty, is presented in this paper. A short description of structural assessment applications, provided in literature, is initially given. Then, the developed model identification procedure, supported in a robust optimization algorithm, is presented. Special attention is given to both experimental and numerical errors, to be considered in this algorithm convergence criterion. An updated numerical model is obtained from this process. The reliability assessment procedure, which considers a probabilistic model for the structure in analysis, is then introduced, incorporating the results of the model identification procedure. The developed model is then updated, as new data is acquired, through a Bayesian inference algorithm, explicitly addressing statistical uncertainty. Finally, the developed framework is validated with a set of reinforced concrete beams, which were loaded up to failure in laboratory. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/39548 |
DOI: | 10.1016/j.engstruct.2015.12.040 |
ISSN: | 0141-0296 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | EAAD - Artigos ISISE - Artigos em Revistas Internacionais Lab2PT - Artigos Lab2PT - Artigos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
1-s2.0-S014102961500810X-main.pdf Acesso restrito! | 1,44 MB | Adobe PDF | Ver/Abrir |