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温度控制设计对于减小大体积混凝土开裂风险和大坝安全具有重要意义.然而,由于大体积混凝土结构施工期间受多种随机因素的影响,设计阶段仿真计算结果往往与施工现场差别较大.充分利用施工现场实时监测数据进行反馈分析是解决此问题的有效途径.引入模拟退火算法中的Metrolpis接受准则,对简单遗传算法早熟现象加以改进,详细阐述了自动调用三维有限元温度场正分析模块进行热学参数反演分析的方法和步骤.采用改进遗传算法对呼和浩特抽水蓄能电站拦沙坝6号坝段垫层区混凝土进行热学参数反演分析,结果表明,改进遗传算法能够有效地避免简单遗传算法的早熟现象,反演结果能够较为真实地反映施工现场垫层区混凝土温度场变化过程,并在此基础上,对垫层区混凝土出现的早期裂缝成因进行了分析.
Temperature control design is of great importance to reduce the risk of cracking of mass concrete and dam safety.However, due to many random factors during the construction of mass concrete structures, the simulation results in the design stage often differ greatly from the construction site. Using the real-time monitoring data from the construction site for feedback analysis is an effective way to solve this problem.The Metrolpis acceptance criterion in simulated annealing algorithm is introduced to improve the premature phenomenon of simple genetic algorithm, and the automatic invoking three-dimensional finite element temperature field analysis module Methods and steps of thermal parameters inversion analysis.An improved genetic algorithm is used to back calculate the thermal parameters of the concrete in the cushion section of No.6 dam of Huhhot Pumped Storage Power Station.The results show that the improved genetic algorithm can effectively avoid the simple genetic According to the premature phenomenon of the algorithm, the inversion result can reflect the change process of the concrete temperature field in the cushion zone more truthfully. On the basis of this, the causes of the early cracks in the cushion zone concrete are analyzed.