Predicting Post-Fire Behavior of Green Geopolymer Mortar Containing Recycled Concrete Aggregate via GEP Approach
In the present study, 20 models were developed using gene expression programming (GEP) to predict the compressive strength and mass loss of geopolymer mortar (GPM) containing recycled concrete aggregate (RCA) exposed to elevated temperatures. To do so, the results of 160 specimens manufactured out o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2020-04-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | http://www.jsoftcivil.com/article_106468_398cd51651727276f4d38e0955faaaff.pdf |