介绍了三峡二期工程砼温度控制措施及设备,分析了影响砼浇筑温度的各种因素。用人工神经网络BP模型对89组现场实测数据进行学习,并利用学习成果,通过输入影响浇筑温度的各种因素,应用学习好的人工神经网络判断砼最终浇筑温度。经两组试验证明,人工神经网络在大体积砼温控研究领域有巨大的发展潜力。

 The measures and equipments for temperature control in pouring concrete for Three Gorges Project Ⅱ stage construction are introduced and various factors affecting the pouring temperature are analysed in the paper.BP models of artificial neural networks learnt and trained by trial test studies with 89 set of data obtained from field observation are used to predicate the final temperature of concrete during the construction of TGP.The results through two sets verification show that artificial neural networks have a good application potential in the studyfield of temperature control for monolithical concrete.