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- Title
An Expectation-Maximization Algorithm Embedded Framework for Safety Assessment of Reinforced Concrete Systems.
- Authors
Wang, Vincent Z.; Sivakugan, Nagaratnam
- Abstract
This paper studies the safety assessment of in-service reinforced concrete (RC) structures with incomplete appraisal data. An appraisal data missingness event may occur under a series of circumstances, such as the breakdown of the data acquisition system involved. To deal with the incomplete appraisal data, two straightforward options--that is, pairwise and listwise parameter estimation schemes--are first explored, and the discussion focuses on the positive-semidefiniteness criterion, the additional information loss, and the probability of noninformativeness. An expectation-maximization (EM) algorithm embedded safety assessment framework for in-service RC systems is then formulated as a remedy for the missingness of the appraisal data. Through a designed statistical hypothesis testing scheme, the efficacy and the general applicability of the framework are illustrated using both the numerically simulated appraisal data and the data collected by a rebound hammer during a field investigation. The proposed framework has the potential to be incorporated into the sustainable RC structural design paradigms.
- Subjects
REINFORCED concrete; STRUCTURAL analysis (Engineering); STRUCTURAL design; NUMERICAL analysis; PARAMETER estimation
- Publication
ACI Structural Journal, 2014, Vol 111, Issue 3, p515
- ISSN
0889-3241
- Publication type
Article
- DOI
10.14359/51686568