Software for Analysis of ASTM C457 Air Void Parameters

Dr. Lange from the University of IL has developed a deep learning algorithm that can analyze scanned images of concrete samples in order to determine traverse lengths in the aggregate, paste, and void contents on the polished surface of a concrete sample

This approach ensures the freeze-thaw parameters of concrete meet the required ASTM C457 standards. 


This method allows one to perform an ASTM C457 analysis in a quick and cost proficient manner.


Manufacturing, construction, highways/roads