基于粒子群算法的大体积混凝土温控参数反演分析

Inversion Analysis of Temperature Control Parameters of Mass Concrete Based on Particle Swarm Optimization Algorithm

为了科学确定大体积混凝土的温控参数,基于实测温度数据,构建大体积混凝土温控参数的反演分析模型,选择粒子群算法作为模型求解算法。针对工程实例的温度监测数据,利用粒子群算法对温控参数反演模型进行求解,可得出与实测温度数据吻合度较高的温控参数,降低经验温控参数造成的仿真温度与实测温度之间的误差。该方法可合理确定大体积混凝土的温控参数,利用该温控参数进行仿真分析,可较好反映真实温控状态,为温控施工提供科学指导。

In order to scientifically determine the temperature control parameters of mass concrete,based on the measured temperature data,the inversion analysis model of temperature control parameters of mass concrete is constructed,and the particle swarm optimization algorithm is selected as the model solving algorithm.Aiming at the temperature monitoring data of engineering examples,the particle swarm optimization algorithm is used to solve the temperature control parameter inversion model.The temperature control parameters with high agreement with the measured temperature data can be obtained,and the error between the simulated temperature and the measured temperature caused by the empirical temperature control parameters can be reduced.This method can reasonably determine the temperature control parameters of mass concrete,and use the temperature control parameters for simulation analysis,which can better reflect the real temperature control state and provide scientific guidance for temperature control construction.