Towards the reliability quantification of recyclable precast concrete elements and sub-assemblies: a feasibility exploration of the application of an expectation-maximization algorithm embedded safety assessment technique

Walsh, Christian, and Wang, Vincent Z. (2014) Towards the reliability quantification of recyclable precast concrete elements and sub-assemblies: a feasibility exploration of the application of an expectation-maximization algorithm embedded safety assessment technique. In: Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, pp. 1-4. From: IGBSG 2014: 1st International Conference on Intelligent Green Building and Smart Grid, 23-25 April 2014, Taipei, Taiwan.

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Abstract

Documenting a preliminary pilot study of the quantification of the reliability of recyclable elements and sub-assemblies in a precast concrete structure, this paper explores the feasibility of applying a most recently developed expectation-maximization (EM) algorithm embedded safety assessment technique. The recent push to increase sustainable practices in the construction industry can be attended to by introducing the repurposing of concrete elements and sub-assemblies in new structures. Precast concrete provides one of the best options to undertake this task due to its superior cost effectiveness, access to detailed plans, and quality control during pouring. To ensure the intended recycled precast concrete elements and sub-assemblies are safe to use, a structural appraisal must be carried out, yet it is not uncommon that some data missingness is encountered during such tests. The feasibility of addressing this issue by resorting to an EM algorithm embedded technique is investigated in this study. It is illustrated that the difference in the probability of failure between the relevant complete- and incomplete-data scenarios is not statistically significant. This paper outlines the application of the EM algorithm embedded technique in the field of precast concrete structures to enact a potentially vital sustainability initiative.

Item ID: 34303
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: precast concrete; design for disassembly; appraisal; safety assessment; missing data; EM algorithm
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ISBN: 978-1-4673-6123-1
Date Deposited: 13 Aug 2014 00:01
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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