开采沉陷动态预计的分段Knothe时间函数模型优化
发布时间：2018-08-01 09:40
【摘要】：针对分段Knothe时间函数在理论上存在的不足,为了扩展其应用范围,改善其在地表动态下沉预计时的精度,通过理论分析和对比研究,对该时间函数存在的理论缺陷进行了深入探讨,并针对存在的问题提出了相应的改进方法,进而构建了一种新的、适用范围更广、预测精度更高的分段Knothe时间函数模型。研究结果表明:该模型的构建解决了原时间函数在分段点处函数值与理论值不一致的问题以及原时间函数值最终不能收敛于1的问题;新的函数模型在应用上也摆脱了原模型对预计参数选取的某些特殊限制,扩展了利用该模型在不同地质采矿条件下进行动态预计的适用性。通过对实测数据的对比预测,证明采用该时间函数模型进行预测的精度比采用原时间函数进行预测的精度有所提高,并且地表下沉的终态预计值在达到最大下沉值后不会再随着下沉时间的增加而改变。
[Abstract]:In order to improve the accuracy of segmented Knothe time function in dynamic subsidence prediction, in order to expand its application scope and improve its accuracy, the theoretical analysis and comparative study are carried out to overcome the shortcomings of piecewise Knothe time function in theory. In this paper, the theoretical defects of the time function are discussed in depth, and the corresponding improvement method is put forward to solve the existing problems, and a new piecewise Knothe time function model with wider range of application and higher prediction accuracy is constructed. The results show that the model solves the problem that the function value of the original time function does not agree with the theoretical value at the piecewise point and the value of the original time function does not converge to 1 at last. The application of the new functional model also eliminates some special limitations of the original model on the selection of predicted parameters and extends the applicability of the model in dynamic prediction under different geological and mining conditions. Through the comparison and prediction of the measured data, it is proved that the accuracy of this time function model is higher than that of the original time function. And the final state of the surface subsidence does not change with the increase of subsidence time after reaching the maximum subsidence value.
【作者单位】： 中国矿业大学(北京)地球科学与测绘工程学院;石家庄学院资源与环境科学学院;中国矿业大学(北京)煤炭资源与安全开采国家重点实验室;
【基金】：国家自然科学基金资助项目(No.51474217) supported by the National Natural Science Foundation of China(51474217)
【分类号】：TD327
本文编号：2157166
[Abstract]:In order to improve the accuracy of segmented Knothe time function in dynamic subsidence prediction, in order to expand its application scope and improve its accuracy, the theoretical analysis and comparative study are carried out to overcome the shortcomings of piecewise Knothe time function in theory. In this paper, the theoretical defects of the time function are discussed in depth, and the corresponding improvement method is put forward to solve the existing problems, and a new piecewise Knothe time function model with wider range of application and higher prediction accuracy is constructed. The results show that the model solves the problem that the function value of the original time function does not agree with the theoretical value at the piecewise point and the value of the original time function does not converge to 1 at last. The application of the new functional model also eliminates some special limitations of the original model on the selection of predicted parameters and extends the applicability of the model in dynamic prediction under different geological and mining conditions. Through the comparison and prediction of the measured data, it is proved that the accuracy of this time function model is higher than that of the original time function. And the final state of the surface subsidence does not change with the increase of subsidence time after reaching the maximum subsidence value.
【作者单位】： 中国矿业大学(北京)地球科学与测绘工程学院;石家庄学院资源与环境科学学院;中国矿业大学(北京)煤炭资源与安全开采国家重点实验室;
【基金】：国家自然科学基金资助项目(No.51474217) supported by the National Natural Science Foundation of China(51474217)
【分类号】：TD327
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