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Abstract Book - Ira A. Fulton Schools of Engineering - Arizona State ...

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Calcium Carbonate Desalination Waste Recycling as Concrete Aggregate<br />

Tiffany Yee, Civil <strong>Engineering</strong><br />

Graduation: May 2011 Hometown: Chandler, <strong>Arizona</strong><br />

Mentor: Dr. Peter Fox and Dr. Barzin Mobasher, Civil and Environmental <strong>Engineering</strong><br />

Grand Challenge: Sustainability<br />

The proposed Western Canal Water Treatment Plant will treat water using crystallactor technology, which<br />

produces the calcium carbonate pellets used in this experiment as a possible fine aggregate. After analyzing<br />

the contents <strong>of</strong> the pellets, they were used to replace sand in contents <strong>of</strong> zero, 10, 20, and 30 percent, and<br />

ages <strong>of</strong> seven days and 14 days. The compressive and flexural strengths <strong>of</strong> the concrete made with the pellets<br />

were compared with the zero percent pellet replacement. For the future, testing concrete with higher content<br />

percentages and an age <strong>of</strong> 28 days might be insightful.<br />

Advanced Simulation <strong>of</strong> Large Scale Computational Fluid Dynamics Datasets<br />

Susanna J. Young, Mechanical <strong>Engineering</strong><br />

Graduation: May 2011 Hometown: Phoenix, <strong>Arizona</strong><br />

Mentor: Dr. Kyle Squires, Mechanical and Aerospace <strong>Engineering</strong><br />

Grand Challenge: Restore and improve urban infrastructure<br />

The goal is to apply high-fidelity visualization techniques to the dataset obtained from direct numerical simulation<br />

<strong>of</strong> the flow over a golf ball. Thus far, two processes for running Fieldview Parallel on the Saguaro supercomputer<br />

have been established. Successful visualizations <strong>of</strong> the instantaneous flow and animations <strong>of</strong> the temporallyevolving<br />

solution have been generated and the process for submitting batch processes to generate animations has<br />

been refined to require less user-input. These achievements have provided an efficient approach to visualization <strong>of</strong><br />

enormous datasets. Suggested further work includes using newly developed Fieldview tools for insight into better<br />

use <strong>of</strong> the solver code.<br />

Spring 2010<br />

35

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