Prediction of concrete compressive strength due to long term sulfate attack using neural network
This work was divided into two phases. Phase one included the validation of neural network to predict mortar and concrete properties due to sulfate attack. These properties were expansion, weight loss, and compressive strength loss. Assessment of concrete compressive strength up to 200 years due to...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2014-09-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016814000374 |