Efficient Updating Method for Settlement Prediction Model Based on Sequential Adjustment

Settlement prediction is of great significance to ensure the durability and safety of engineering structures, while the updating of settlement prediction model is an important part of the process. This study aimed at addressing the problems of the traditional method of updating settlement prediction models, principally its low efficiency and heavy dependence on historical data, by introducing a new method that substitutes sequential adjustment for least square indirect adjustment. This new updating method can significantly improve algorithmic efficiency and reliability of the model updating process and dramatically alleviate the load of storing and computing data. In addition, fitting the characteristics of this method, a new correlation coefficient recursive algorithm was derived for model evaluation. The settlement data of Shanghai-Suzhou-Nantong Yangtze Bridge were used for example verification to analyze the updating process and the results of these two methods. The results show that this correct, efficient, and useful method with good practical value can be applied to the construction of railways, highways and bridges. © 2023 Science Press. All rights reserved.