Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures

Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: 6913G618C100007
Agency Tracking Number: 171FH1002II
Amount: $498,195.00
Phase: Phase II
Program: SBIR
Awards Year: 2018
Solicitation Year: 2018
Solicitation Topic Code: 171FH1
Solicitation Number: N/A
Small Business Information
3645 Kennesaw N Industrial Pkwy., Kennesaw, GA, 30144-1234
DUNS: 025261269
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Arun Thamban
 Senior Scientist
 (770) 745-5693
 arun@phosphortech.com
Business Contact
 Hisham Menkara
Title: CEO
Phone: (404) 664-5008
Email: hisham@phosphortech.com
Research Institution
N/A
Abstract
Proposal title: Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures Interference of unburned and activated carbon in fly ash with air-entraining admixtures (AEAs) in fresh concrete mixtures is a major concern in the concrete industry. Therefore, a rapid and accurate measurement of adsorption capacity of fly ash is of great interest to this industry. In Phase I, a new method was developed and shown to have the ability to qualitatively and quantitatively measure different surfactants and air-entraining admixtures (AEAs) adsorbed on fly ash in concrete. Various surfactants with different fluorescence emission wavelengths and absorbance wavelengths were evaluated and characterized. By regression analysis of concentrations of various AEAs to fluorescence and/or absorbance intensity, new mathematical models of air-entraining admixtures vs. fluorescence intensity or absorbance intensity were established. Excellent performance of the new method, including large linear range of air-entraining admixture concentration, good sensitivity and selectivity, good repeatability and accuracy, were confirmed. Phase II will further improve this method in terms of sensitivity and overall performance by building a semi-automated instrument with programmable liquid handling capabilities to remove human error and improve data accuracy. The instrument will then be used to establish a database of various AEAs and will be used to identify unknown AEAs and predict their fly ash adsorption capacity.

* Information listed above is at the time of submission. *

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