关键词: 自密实混凝土;配合比;强度;人工神经网络

Abstract: To research the impact of mix proportions on strength of SCC in steam-cured condition,in this thesis,27 sets of self-compacting concrete(SCC)mix proportions were designed in order to test Kilned and 28 d strength curing in steam method,analyzing the impacts of parameters to Kilned and 28 d strength. The results of research show that when water-binder ratio keeps constant,the strength increases with increase of cement content or decrease of water-binder ratio and sand ratio. Meanwhile,prediction model based on artificial neural network(ANN)is able to predict SCC strength precisely within limits, which can be beneficial to application and promotion of SCC.

Key words: self-compacting concrete(SCC);mix proportion;strength;artificial neural network(ANN)