Prediction of compression strength of high performance concrete using artificial neural networks
作者： A Torre , F Garcia , I Moromi , P Espinoza , L Acuña
DOI: 10.1088/1742-6596/582/1/012010
关键词:
摘要: High-strength concrete is undoubtedly one of the most innovative materials in construction. Its manufacture simple and carried out starting from essential components (water, cement, fine aggregates) a number additives. Their proportions have high influence on final strength product. This relations do not seem to follow mathematical formula yet their knowledge crucial optimize quantities raw used concrete. Of all mechanical properties, compressive at 28 days often for quality control. Therefore, it would be important tool numerically model such relationships, even before processing. In this aspect, artificial neural networks proven powerful modeling especially when obtaining result with higher reliability than relationships between variables involved process. research has designed an network based manufacturing parameters, correlations order 0.94.
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