An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures
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 assessmen...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/34495/ |
| _version_ | 1848794868432764928 |
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| author | Matos, José C. Cruz, Paulo J.S. Valente, Isabel B. Neves, Luís C. Moreira, Vicente N. |
| author_facet | Matos, José C. Cruz, Paulo J.S. Valente, Isabel B. Neves, Luís C. Moreira, Vicente N. |
| author_sort | Matos, José C. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:23:02Z |
| format | Article |
| id | nottingham-34495 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:23:02Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-344952020-05-04T17:41:52Z https://eprints.nottingham.ac.uk/34495/ An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures Matos, José C. Cruz, Paulo J.S. Valente, Isabel B. Neves, Luís C. Moreira, Vicente N. 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. Elsevier 2016-03-15 Article PeerReviewed Matos, José C., Cruz, Paulo J.S., Valente, Isabel B., Neves, Luís C. and Moreira, Vicente N. (2016) An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures. Engineering Structures, 111 . pp. 552-564. ISSN 0141-0296 http://dx.doi.org/10.1016/j.engstruct.2015.12.040 doi: 10.1016/j.engstruct.2015.12.040 doi: 10.1016/j.engstruct.2015.12.040 |
| spellingShingle | Matos, José C. Cruz, Paulo J.S. Valente, Isabel B. Neves, Luís C. Moreira, Vicente N. An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title_full | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title_fullStr | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title_full_unstemmed | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title_short | An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| title_sort | innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures |
| url | https://eprints.nottingham.ac.uk/34495/ https://eprints.nottingham.ac.uk/34495/ https://eprints.nottingham.ac.uk/34495/ |