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机构地区:[1]中南大学地球科学与信息物理学院,长沙410083 [2]贵州财经大学仿真重点实验室,贵阳550004
出 处:《鲁东大学学报(自然科学版)》2017年第4期374-378,共5页Journal of Ludong University:Natural Science Edition
基 金:国家自然科学基金(F030203)
摘 要:地基沉降预测中,如果观测数据不足或观测间隔差别较大,常常需要借助数学手段生成插补数据(插值),以弥补既有观测数据的局限性.三次样条插值(CSI)是广泛接受的专用插值技术.本研究基于观测数据,分别采用三次样条插值技术和1stOpt软件进行仿真插值,并对结果进行比较.仿真结果显示,在本文涉及的两组观测数据案例中,1stOpt能够使错误率分别降低0.0466%和0.1525%,1stOpt插值精确度优于三次样条插值.研究结果对工程实践具有一定的借鉴意义.In the prediction of ground settlement, if the observation data is insufficient or the observation interval is different,it is often necessary to interpolate data (interpolation) by mathematical means to make up for the limitations of the existing observation data. The Cubic Spline Interpolation (CSI) is a widely accepted dedicated interpolation technique. The interpolations were simulated by CSI and 1 stOpt software based on ob-servation data respectively, and the interpolation results were compared. The results showed that in the two sets of observation data involved in this paper, 1 stOpt could reduce the error rate by 0. 0466% and 0. 1525% re-spectively, and the 1 stOpt interpolation accuracy was better than that of the CSI. The research results can pro-vide the definite reference for the engineering practice.
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