Prediction of Compressive Strength Behavior of Ground Bottom Ash Concrete by an Artificial Neural Network
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DOI: 10.1155/2020/2608231
Abstract: The objective of this work was to examine the compressive strength behavior of ground bottom ash (GBA) concrete by using an artificial neural network. Four input parameters, specifically, the water-to-binder ratio (WB), percentage replacement of… read more here.
Keywords: behavior ground; strength; ground bottom; strength behavior ... See more keywords