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...

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Bibliographic Details
Main Authors: Ahmed M. Diab, Hafez E. Elyamany, Abd Elmoaty M. Abd Elmoaty, Ali H. Shalan
Format: Article
Language:English
Published: Elsevier 2014-09-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016814000374