Inversion Analysis of Temperature Control Parameters of Mass Concrete Based on Particle Swarm Optimization Algorithm
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.
mass concretetemperature control parametersimulation calculationinversion modelparticle swarm algorithm
万方数据
维普
