Presented By: Tyler Ley
Affiliation: Oklahoma State University
Description: 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.
Details
| Title | Performance Based Prediction of Reclaimed and Conventional Fly Ash with Bulk Oxide Analysis |
| Duration | 16 Mins |
| Language | English |
| Format | MP4 |
| Size | 32 MB |
| Download Method | Direct Download |
| Download Links | BECOME A MEMBER VIEW DOWNLOAD LINKS |
The post Performance Based Prediction of Reclaimed and Conventional Fly Ash with Bulk Oxide Analysis appeared first on Civil Engineering Knowledge Base.
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