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针对位移突变对高边坡位移监控模型拟合和预测精度的影响,在对高边坡位移与影响因素相关分析的基础上,基于高边坡系统演化过程中的非线性动力学特性,采用相空间重构、云模型等数值分析手段,研究了高边坡位移突变辨识的实现方法,从而依据最近一次位移突变后的监测资料,建立了考虑动力学结构突变影响的位移监控模型。实例应用结果表明,该模型拟合和预测精度均较高。
Aiming at the influence of displacement mutation on fitting and prediction accuracy of high slope displacement monitoring model, based on the correlation analysis of high slope displacement and influencing factors, based on the nonlinear dynamic characteristics of high slope system evolution, Spatial reconstruction, cloud model and other numerical analysis methods, the realization method of displacement recognition in high slope is studied. Based on the monitoring data after the last displacement mutation, a displacement monitoring model considering the influence of sudden changes of dynamic structure is established. The practical application shows that the accuracy of the model fitting and prediction is high.