Title:
Performance Based Prediction of Reclaimed and Conventional Fly Ash with Bulk Oxide Analysis
Author(s):
Tyler Ley
Publication:
Web Session
Volume:
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
4/1/2021
Abstract:
Predicting the performance of fly ash in concrete is challenging because fly ash is a waste product. This prediction has become even more challenging with reclaimed fly ash sources. This work presents new performance prediction models that use a combination of machine based learning and experimental data to predict the long-term performance of both traditional and reclaimed fly ash. These models are simple to use, widely available on a website and provide useful predictions.