自密实混凝土性能预测的神经网络模型

A Neural Network Model for Predicting Performance of Self-compacting Concrete

自密实混凝土具有优异的工作性能,但目前还没有有效的配比数学模型.为此,在自密实混凝土配比试验的基础上,利用神经网络理论,建立了自密实混凝土性能预测的神经网络模型.计算结果表明,用人工神经网络方法预测自密实混凝土的性能是可行的,能满足工程实际的要求.

Self-compacting concrete has excellent working performance, but up to now there hasn't been an effective mathematical model of the ratio of mixing such concrete. This paper, based on self-compacting concrete ratio tests and neural network theory, builds a neural network model for predicting the performance of self-compacting concrete. The calculation results show that predicting the performance of self-compacting concrete by an artificial neural network is feasible and can meet the practical needs of engineering.