College

College of Engineering and Polymer Science

Date of Last Revision

2025-04-29 12:38:53

Major

Chemical Engineering

Honors Course

CHEE 497

Number of Credits

3

Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2025

Abstract

This project will look to determine if correlations exist between the inhibition efficiency and particular chemical properties of different corrosion inhibitors for carbon steel rebar in concrete affected with chlorides. Examining the inhibition efficiency of different corrosion inhibitors and attempting to find correlations or a general rule of thumb for what denotes a better corrosion inhibitor would be valuable. This similar concept has been seen with Lipinski's rule of 5 where he created a general guide to predict if compounds were orally active in humans. Since little information is readily available and no known correlations exist for corrosion inhibitors on carbon steel rebar, determining simple one-to-one correlations and more complicated multi-variable correlations through linear regression and machine learning on Matlab could begin to provide valuable information moving forward for determining better corrosion inhibitors.

Research Sponsor

Donald Visco

First Reader

Lu-Kwang Ju

Second Reader

Roya Gitiafroz

Honors Faculty Advisor

Donald Visco

Proprietary and/or Confidential Information

No

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