Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method
The goaf left behind after mining has the potential to induce serious geological disasters due to the damaged internal structure of the rock. Estimating the boundary of the underground goaf can effectively control the occurrence of such disasters. However, traditional geophysical methods are inefficient and expensive and are particularly difficult to apply for a wide detection range. This paper proposes a new method for estimating the boundary of underground goaf using the differential interference synthetic aperture radar technique (DInSAR). More specifically, DInSAR is used to obtain the isoline of the subsidence basin above the goaf, and the direction of the two main sections of the goaf is then determined according to the basic law of mining subsidence. Following this, the basic principles of the probability integral and the graphical methods are combined to determine the mining boundary of the strike section and the incline section of the goaf. Finally, six geometric parameters reflecting the boundary of the goaf are obtained. Experiments on simulated and measured data indicate that the proposed method is feasible, with the average relative errors of the simulated and measured data reaching and maintained at 2.2% and 3.7%, respectively.
An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method
The goaf left behind after mining has the potential to induce serious geological disasters due to the damaged internal structure of the rock. Estimating the boundary of the underground goaf can effectively control the occurrence of such disasters. However, traditional geophysical methods are inefficient and expensive and are particularly difficult to apply for a wide detection range. This paper proposes a new method for estimating the boundary of underground goaf using the differential interference synthetic aperture radar technique (DInSAR). More specifically, DInSAR is used to obtain the isoline of the subsidence basin above the goaf, and the direction of the two main sections of the goaf is then determined according to the basic law of mining subsidence. Following this, the basic principles of the probability integral and the graphical methods are combined to determine the mining boundary of the strike section and the incline section of the goaf. Finally, six geometric parameters reflecting the boundary of the goaf are obtained. Experiments on simulated and measured data indicate that the proposed method is feasible, with the average relative errors of the simulated and measured data reaching and maintained at 2.2% and 3.7%, respectively.
An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method
Pu Bu (Autor:in) / Chaokui Li (Autor:in) / Mengguang Liao (Autor:in) / Wentao Yang (Autor:in) / Chuanguang Zhu (Autor:in) / Jun Fang (Autor:in)
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
An Underground-Mining Detection System Based on DInSAR
Online Contents | 2013
|An underground-mining detection system based on DInSAR
Online Contents | 2013
|Method for constructing canyon reservoir dam with goaf underground
Europäisches Patentamt | 2022
|Underground goaf filling material and preparation method and application thereof
Europäisches Patentamt | 2021
|Expanding agent for roof-contacted filling of underground goaf
Europäisches Patentamt | 2020
|