開(kāi)采沉陷動(dòng)態(tài)預(yù)計(jì)的分段Knothe時(shí)間函數(shù)模型優(yōu)化
發(fā)布時(shí)間:2018-08-01 09:40
【摘要】:針對(duì)分段Knothe時(shí)間函數(shù)在理論上存在的不足,為了擴(kuò)展其應(yīng)用范圍,改善其在地表動(dòng)態(tài)下沉預(yù)計(jì)時(shí)的精度,通過(guò)理論分析和對(duì)比研究,對(duì)該時(shí)間函數(shù)存在的理論缺陷進(jìn)行了深入探討,并針對(duì)存在的問(wèn)題提出了相應(yīng)的改進(jìn)方法,進(jìn)而構(gòu)建了一種新的、適用范圍更廣、預(yù)測(cè)精度更高的分段Knothe時(shí)間函數(shù)模型。研究結(jié)果表明:該模型的構(gòu)建解決了原時(shí)間函數(shù)在分段點(diǎn)處函數(shù)值與理論值不一致的問(wèn)題以及原時(shí)間函數(shù)值最終不能收斂于1的問(wèn)題;新的函數(shù)模型在應(yīng)用上也擺脫了原模型對(duì)預(yù)計(jì)參數(shù)選取的某些特殊限制,擴(kuò)展了利用該模型在不同地質(zhì)采礦條件下進(jìn)行動(dòng)態(tài)預(yù)計(jì)的適用性。通過(guò)對(duì)實(shí)測(cè)數(shù)據(jù)的對(duì)比預(yù)測(cè),證明采用該時(shí)間函數(shù)模型進(jìn)行預(yù)測(cè)的精度比采用原時(shí)間函數(shù)進(jìn)行預(yù)測(cè)的精度有所提高,并且地表下沉的終態(tài)預(yù)計(jì)值在達(dá)到最大下沉值后不會(huì)再隨著下沉?xí)r間的增加而改變。
[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.
【作者單位】: 中國(guó)礦業(yè)大學(xué)(北京)地球科學(xué)與測(cè)繪工程學(xué)院;石家莊學(xué)院資源與環(huán)境科學(xué)學(xué)院;中國(guó)礦業(yè)大學(xué)(北京)煤炭資源與安全開(kāi)采國(guó)家重點(diǎn)實(shí)驗(yàn)室;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(No.51474217) supported by the National Natural Science Foundation of China(51474217)
【分類號(hào)】:TD327
本文編號(hào):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.
【作者單位】: 中國(guó)礦業(yè)大學(xué)(北京)地球科學(xué)與測(cè)繪工程學(xué)院;石家莊學(xué)院資源與環(huán)境科學(xué)學(xué)院;中國(guó)礦業(yè)大學(xué)(北京)煤炭資源與安全開(kāi)采國(guó)家重點(diǎn)實(shí)驗(yàn)室;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(No.51474217) supported by the National Natural Science Foundation of China(51474217)
【分類號(hào)】:TD327
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