基于Logistic和Gompertz曲线模型拟合的建筑物沉降分析

重大工程建设一般会有定期的沉降和变形监测,本研究利用具有规律变化的Logistic和Gompertz曲线模型进行拟合,并以某大型发电厂为研究对象,利用近15年的监测数据,建立预测模型并进行精度评估。研究结果表明,若监测数据具有一定程度的稳定性,并对计算时监测数据进行合理取舍,对采取的全区、分区平均值或单一点高度值的检测数据,运用Logistic和Gompertz曲线模型来预测大型建筑物的沉降情况是可行的。

A Study of Buildings Subsidence Analysis Based on Logistic and Gompertz Curves Model Fitting

The major engineering construction regularly has the settlement and deformation monitoring, a regular variation of Logistic and Gompertz curve fitting model was used in this paper.Choosing a large power plant as the research object, the prediction model was established and the accuracy evaluated was conducted by using the monitoring data of recently 15 years.The research results showed that if the test data was stability in a certain degree, and the monitoring data was trade-off in reasonable, the Logistic and Gompertz curve model was feasible to predict the settlement of the large buildings condition by taking the entire district, partition or single point height value of the average detection data.