{"title":"Prediction method of high-rise building foundation settlement based on GPS Baseline Solution","authors":"Qiang Chen","doi":"10.1109/PHM-Nanjing52125.2021.9613083","DOIUrl":null,"url":null,"abstract":"The traditional foundation settlement prediction method of high-rise buildings cannot achieve average distribution in the distribution of unit weight ratio, resulting in poor accuracy of foundation settlement prediction calculation. In order to improve the prediction accuracy, a foundation settlement prediction method of high-rise buildings based on GPS baseline solution is proposed. The expression of three-phase system composed of soil particles, pore water and pore gas is constructed, and the variation trend of density pressure between foundation surface water and soil is analyzed; Based on the GPS baseline solution, the unit weight ratio is allocated to improve the detection accuracy of cycle slip, accurately calculate the ionospheric residuals before and after epochs, reset the proportion and redistribute the weight of a posteriori variance component estimation; The Poisson curve expression is established to calculate the main consolidation settlement of high-rise buildings, and the foundation settlement prediction model is established. A comparative experiment is designed to test the accuracy of the three prediction methods. In the prediction test of untreated foundation settlement and the prediction test of foundation settlement after filling treatment, the algorithm is better than the other two algorithms. It can be seen that the prediction result of GPS baseline solution algorithm is more accurate.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9613083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The traditional foundation settlement prediction method of high-rise buildings cannot achieve average distribution in the distribution of unit weight ratio, resulting in poor accuracy of foundation settlement prediction calculation. In order to improve the prediction accuracy, a foundation settlement prediction method of high-rise buildings based on GPS baseline solution is proposed. The expression of three-phase system composed of soil particles, pore water and pore gas is constructed, and the variation trend of density pressure between foundation surface water and soil is analyzed; Based on the GPS baseline solution, the unit weight ratio is allocated to improve the detection accuracy of cycle slip, accurately calculate the ionospheric residuals before and after epochs, reset the proportion and redistribute the weight of a posteriori variance component estimation; The Poisson curve expression is established to calculate the main consolidation settlement of high-rise buildings, and the foundation settlement prediction model is established. A comparative experiment is designed to test the accuracy of the three prediction methods. In the prediction test of untreated foundation settlement and the prediction test of foundation settlement after filling treatment, the algorithm is better than the other two algorithms. It can be seen that the prediction result of GPS baseline solution algorithm is more accurate.