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Alexander S. Brand

Virginia Tech

SCHOLARLY PAPERS

5

DOWNLOADS

254

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Measuring Mineralized Carbon in Carbonate Minerals and Cementitious Materials by an Acid Digestion-Titration Method

Number of pages: 35 Posted: 11 Jun 2024
Virginia Tech, Government of the United States of America - Materials and Structural Systems Division, Morgan State University, Georgia Institute of Technology, Government of the United States of America - Materials and Structural Systems Division, affiliation not provided to SSRN and Virginia Tech
Downloads 111 (635,507)

Abstract:

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Digestion-titration method (DTM), design of experiments (DOE), thermogravimetric analysis (TGA), mineralized carbon, carbon capture

2.

Quantitative Measurement of Corrosion at the Nanoscale by in Situ Spectral Modulation Interferometry

Number of pages: 35 Posted: 04 Apr 2022
Virginia Tech, Virginia Tech, Virginia Tech, Ford Motor Company, Ford Motor Company, affiliation not provided to SSRN, affiliation not provided to SSRN and Virginia Tech
Downloads 51 (1,052,702)

Abstract:

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Spectral modulation interferometry, Quantitative phase imaging, Pitting corrosion, Corrosion rate, Rate spectra

3.

Effects of Thermal History on the Corrosion Kinetics of Rolled Aluminum 6111 Alloy

Number of pages: 36 Posted: 14 Oct 2022
Virginia Tech, Virginia Tech, Virginia Tech, Ford Motor Company, Ford Motor Company, affiliation not provided to SSRN and Virginia Tech
Downloads 46 (1,121,190)

Abstract:

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Spectral modulation interferometry, AA6111 alloy, Quench rate, Temper mode, pitting corrosion, Intergranular corrosion

4.

Optimization of Zn Leaching Recovery from Tire Rubber and High Purity Zno Production

Number of pages: 27 Posted: 19 Mar 2024
Shiyu Li, Thien Q. Tran, Bin Ji, Alexander S. Brand and Wencai Zhang
affiliation not provided to SSRN, Virginia Tech, affiliation not provided to SSRN, Virginia Tech and Virginia Tech
Downloads 32 (1,290,922)

Abstract:

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Waste tire rubber, acid leaching, solvent extraction, Zinc oxide

5.

Predicting Strength of Cement-Treated Soil in Dynamic Curing Environments: Beyond Cumulative Maturity to Sequence-Dependent Modeling

Number of pages: 24 Posted: 26 Feb 2026
Virginia Polytechnic Institute and State University, Virginia Polytechnic Institute and State University, Virginia Polytechnic Institute and State University, Virginia Tech and Virginia Tech
Downloads 14 (1,509,872)

Abstract:

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Cement-treated Soil, Deep Mixing Method, Machine Learning, Curing Trajectory, UCS prediction