An expectation-maximization algorithm embedded framework for safety assessment of RC systems

Wang, Vincent Z., and Sivakugan, Nagaratnam (2014) An expectation-maximization algorithm embedded framework for safety assessment of RC systems. ACI Structural Journal, 111 (3). 12-204. pp. 515-524.

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This paper studies the safety assessment of in-service reinforced concrete (RC) structures with the incomplete appraisal data. Practically 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, i.e., pairwise and listwise parameter estimation schemes, are first explored, and the discussion focuses on the positive-definiteness 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 essentially 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.

Item ID: 28483
Item Type: Article (Research - C1)
ISSN: 1944-7361
Keywords: reinforce concrete; appraisal; compressive strength; failure; missing data; EM algorithm; statistics
Date Deposited: 19 May 2014 01:26
FoR Codes: 09 ENGINEERING > 0905 Civil Engineering > 090506 Structural Engineering @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 100%
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