Prediction of lock floor concrete temperature change based on measured data and gray model
During the winter construction of the lock floor,the ambient temperature was low,leading to significant temperature differences between the interior and exterior of the mass concrete.Throughout the temperature rise process,the issue of exceeding permissible temperature differentials became prominent,and improper curing could easily result in cracking.Therefore,accurate prediction of temperature rise was critical.Based on measured data,a grey model was employed to predict temperature variations over time,accounting for different monitoring frequencies and original data sequences.The model was subsequently refined,and the revised version was utilized to forecast temperature rise within the first three days after the floor was cast.A comparison of accuracy and residual errors demonstrated that two grey model prediction approaches-one using a 2-hour monitoring interval with a single numerical sequence and another employing a 3-hour to 6-hour interval with three numerical sequences-were both reasonable and effective.Based on the modified model,prediction accuracy and forecasting duration is improved.The risk of cracking in mass concrete is reduced by the guidance of the preidiction,thus providing scientific support for ensuring the safety of the lock floor.
lock floormass concreteprediction of temperature field changegray model
万方数据
维普
