基于最小二乘估计的光伏桩基沉降预测

Settlement Prediction of Photovoltaic Pile Structure Based on Least Squares Estimation

基于最小二乘估计的核心思想理论,通过在MATLAB计算平台上构建多元线性回归模型,采用工程实例中已知的荷载和加荷时间为输入变量,对光伏发电项目桩基础的沉降进行预测,并将预测结果与实际沉降量进行对比分析。研究结果表明,基于荷载和加荷时间的预测模型对光伏桩基础的沉降具有较高的预测准确度,回归评价结果说明了模型的可靠性,试验结果验证了此方法的可行性。

Based on the core theory of least squares estimation,a multiple linear regression model was built on the MATLAB computing platform,and the known load and loading time in engineering examples were used as input variables to predict the settlement of pile foundation of photovoltaic power generation projects.The predicted results were compared with the actual settlement.The results show that the prediction model based on load and loading time has high prediction accuracy for the settlement of photovoltaic pile foundation.The reliability of the model is demonstrated by the regression evaluation results,and the feasibility of this method is verified by the experimental results.