大体积混凝土温度裂缝的分析与控制措施

通过分析大体积混凝土温度裂缝的产生机理，并基于大体积混凝土温度裂缝的影响因素，建立包括4个一级指标、17个二级指标的大体积混凝土温度裂缝分析指标体系。结合BP神经网络的算法原理与学习训练过程，构建基于BP神经网络的温度裂缝分析模型，该模型用于大体积混凝土温度裂缝分析具有一定的可靠性。通过项目实例，对大体积混凝土温度裂缝的监控提出具体措施。

Analysis and control measures of temperature cracks in mass concrete

By analyzing the mechanism of temperature crack in mass concrete, and based on the its influence factors, temperature crack analysis index system of mass concrete including four primary indexes and 17 secondary indexes is established. Combined with the algorithm principle and training process of BP neural network, a temperature crack analysis model based on BP neural network is established, which has certain reliability for temperature crack analysis of mass concrete. Through the actual project, this paper puts forward measures to monitor and control the temperature cracks of mass concrete.