自密实混凝土工作性能和强度的BP神经网络预测

如何在进行自密实混凝土配合比设计前对其工作性能和强度进行有效预测,为配合比设计提供指导,是一大难点。本文利用BP神经网络,对自密实混凝土的工作性能(坍落度和扩展度)和28d强度进行预测。结果表明,利用大量试验数据样本训练的BP网络可以预测不同情况下的自密实混凝土的坍落度、扩展度和28d强度,预测精度高。

Workability and strength prediction of self-compacting concrete based on BP neural network

In this paper the parameters of self-compacting concrete(short for SCC) mix proportion are taken as the input of BP neural network, and its corresponding workability and 28d strength as the output of the network to express the nonlinear relation between them. The results of the actual example indicate that predicting the properties of SCC through the pre-trained BP neural network is effective and precise.