Artificial Neural Network for Predicting Drying Shrinkage of Concrete,Construction and Building Materials, (2013), pp. 248-254
By L. Bal, François Buyle-Bodin. 2013
137 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/110f3aeddea6d7da87db7e43d822922bcffbeff9
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In Civil and Structural Engineering
Citations in the corpus
- Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (2019, background): “Many works on the prediction of concrete properties were reported, including drying shrinkage [26,27], concrete durability [28] or delivery [29], concrete workability using meta-kaolin along with fly ash [30], slump models [31,32], concrete at high temperatures [33], concrete-based structures [34,35”