沉降变形分析与预测对于建筑物的安全运营具有重要作用,建立科学、合理的预测模型对于变形分析极其重要.本文运用GM(1,1)模型与Kalman滤波模型对建筑物沉降变形进行预测.通过实例对比分析表明,GM(1,1)模型较适合短期且变形趋势呈线性或指数分布趋势的变形分析与预测;Kalman滤波模型对短期和较长周期呈波形或线性变形均具有较高预测精度.
Settlement deformation analysis and prediction play an important role in the safe operation of building, establishing scientific and reasonable prediction model is extremely important in deformation analysis. This paper used GM (1, 1) model and Kalman filter model to predict the settlement deformation of building. Through comparing and analyzing the projects it was shown that GM (1, 1) model could be more suitable for short-term deformation analysis and prediction when the deformation trend is linear or exponential distribution, while Kalman filter model would show a higher prediction precision in short-term and longer period waveform or linear deformation.