Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of Longwall Progressive Subsidence Basin Using the Gompertz Time Function
https://orcid.org/0000-0002-7794-7572
Abstract It is imperative for the mining area to timely and accurately predict the longwall progressive subsidence basin. However, the mainstream method that uses time function still has limitations, which impede extensive application. In this study, we analyzed the flaws of the optimized segmented Knothe time function in detail, and expounded the possible improvement directions. Subsequently, we proposed the Gompertz time function for predicting longwall progressive subsidence basin, based on the modeling idea that three origins are consistent. Afterward, we analyzed the variation law between parameters of the Gompertz time function and the geological mining conditions, and elaborated the parameter calculation method and the prediction algorithm for the longwall progressive subsidence basin. Finally, we demonstrated the practical application effect of this method with experiments. The average RMSE and average relative RMSE of predicted progressive subsidence using the Gompertz time function are 58.4 mm and 6.9%, respectively, and compared with the same statistics using the optimized segmented Knothe time function, the accuracy is increased by 27.9% on average. The results show that the accuracy of this article proposed method can achieve centimeter-level, meet the requirements of practical engineering application, and this method is expected to enable the mining proceeding in a safe, effective and environmentally sustainable way.
Prediction of Longwall Progressive Subsidence Basin Using the Gompertz Time Function
https://orcid.org/0000-0002-7794-7572
Abstract It is imperative for the mining area to timely and accurately predict the longwall progressive subsidence basin. However, the mainstream method that uses time function still has limitations, which impede extensive application. In this study, we analyzed the flaws of the optimized segmented Knothe time function in detail, and expounded the possible improvement directions. Subsequently, we proposed the Gompertz time function for predicting longwall progressive subsidence basin, based on the modeling idea that three origins are consistent. Afterward, we analyzed the variation law between parameters of the Gompertz time function and the geological mining conditions, and elaborated the parameter calculation method and the prediction algorithm for the longwall progressive subsidence basin. Finally, we demonstrated the practical application effect of this method with experiments. The average RMSE and average relative RMSE of predicted progressive subsidence using the Gompertz time function are 58.4 mm and 6.9%, respectively, and compared with the same statistics using the optimized segmented Knothe time function, the accuracy is increased by 27.9% on average. The results show that the accuracy of this article proposed method can achieve centimeter-level, meet the requirements of practical engineering application, and this method is expected to enable the mining proceeding in a safe, effective and environmentally sustainable way.
Prediction of Longwall Progressive Subsidence Basin Using the Gompertz Time Function
https://orcid.org/0000-0002-7794-7572
Abstract It is imperative for the mining area to timely and accurately predict the longwall progressive subsidence basin. However, the mainstream method that uses time function still has limitations, which impede extensive application. In this study, we analyzed the flaws of the optimized segmented Knothe time function in detail, and expounded the possible improvement directions. Subsequently, we proposed the Gompertz time function for predicting longwall progressive subsidence basin, based on the modeling idea that three origins are consistent. Afterward, we analyzed the variation law between parameters of the Gompertz time function and the geological mining conditions, and elaborated the parameter calculation method and the prediction algorithm for the longwall progressive subsidence basin. Finally, we demonstrated the practical application effect of this method with experiments. The average RMSE and average relative RMSE of predicted progressive subsidence using the Gompertz time function are 58.4 mm and 6.9%, respectively, and compared with the same statistics using the optimized segmented Knothe time function, the accuracy is increased by 27.9% on average. The results show that the accuracy of this article proposed method can achieve centimeter-level, meet the requirements of practical engineering application, and this method is expected to enable the mining proceeding in a safe, effective and environmentally sustainable way.
Prediction of Longwall Progressive Subsidence Basin Using the Gompertz Time Function
Wang, Jian (Autor:in) / Yang, Keming (Autor:in) / Wei, Xiangping (Autor:in) / Shi, Xiaoyu (Autor:in) / Yao, Shuyi (Autor:in)
2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
38.58
Geomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB41
Empirical Correlations of Longwall Subsidence Data for the Illinois Coal Basin
| British Library Conference Proceedings | 2008
Reappraisal of time-dependent subsidence due to longwall coalmining
| British Library Online Contents | 1996
Reappraisal of time-dependent subsidence due to longwall coalmining
| Online Contents | 1996