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Design of Sustainable and Resilient Concrete
Name: Design of Sustainable and Resilient Concrete
File: Srubar 05-17-16.pdf
Size(MB): 0.57MB
Extension: PDF
Speaker Name: Srubar, W.
Managed by: sdickens
Date Uploaded: June 21, 2016; 10:12 am
Download Count: 472
Downloads This Month: 472

Your Geographic Information:

Country: United States
State/Region: Michigan
City: Ann Arbor
Zip Code: 48104
Area Code: 734
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While conventional concrete mixture design methods employ a time-intensive, trial-and-error (bottom-up) approach which ultimately yields acceptable (but non-optimal) designs of concrete mixtures, better-performing solutions, which simultaneously optimize competing objectives, can be obtained by employing a top-down many-objective evolutionary algorithm (MOEA) approach that leverages the capabilities of high-performance computing. In this paper, preliminary results from a MOEA-based concrete mixture design methodology using a specific case-study example, namely a specific application (1D reinforced concrete tilt-up wall) and location will be presented for walls that are designed to resist corrosion initiation and freeze-thaw damage for at least 100 years. The analysis included the following possible materials in the mixture design: (a) cement, (b) water, (c) fine aggregate, (d) coarse aggregate, (e) supplementary cementitious materials (SCMs) (i.e., fly ash, slag, silica fume, metakaolin), and (f) air. The locations (to calculate transportation costs), material costs, and lifecycle inventory (embodied energy) of each material was input into the Borg MOEA search algorithm, a state-of-the-art mathematical search tool.

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