The stability study of goaf based on C-ALS data point cloud and FLAC<sup>3D</sup>Coupled modeling

Jia, Huihui; Xue, Jianzhi

doi:10.1051/e3sconf/202126103053

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Based on 110 goaf samples, (Huang and Chu, 2019) combined random forest algorithm with recursive feature elimination theory to screen out the indexes that contribute more information to the hazard grading of the goafs, and they realized the streamlined dimensionality reduction of the evaluation index system of the goaf. In addition, a large number of researchers also performed computational analysis on goaf stability with the finite difference method or the finite element method Sariandi et al, 2018;Jia and Xue, 2021).…”

Section: Introductionmentioning

confidence: 99%

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Introductionmentioning

confidence: 99%

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

2024

Frontiers Research Topics

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Section: Introductionmentioning

confidence: 99%

Early warning technique research of surface subsidence for safe mining in underground goaf in Karst Plateau zone

Zhe,

Hou,

Niu

et al. 2023

Front. Earth Sci.

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Underground mining in Karst Plateau landform area may cause the loss of support for the upper rock stratum, resulting in rock collapse and large-scale subsidence of the ground surface. Also, the formation of a large-scale goafs may further lead to geo-hazards such as collapse, water gushing, slope instability and so on in the area. To reduce the impact of goaf settlement on local strata stability, this paper established a standardized safe mining detection model for goafs based on the geological safety characteristics of mining goafs. With reference to the statistical analysis of the geological conditions in the mining area, a numerical model with 358 goafs and the proposed mining area was established using FLAC3D numerical software. The surface subsidence and variations of plastic zone in the mining area were comprehensively analyzed. The results indicated that there was a correlation between the stability of the mining area and the geological occurrence conditions of the goafs. By quantitatively taking the values from standardized safety mining detection models, the standardized safety mining detection and warning technique was finally established. The findings can provide technical guidance for safety detection and early warning in the whole process of underground goaf mining in Karst Plateau karst development zone.

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“…Studies have been conducted on the stability analysis of goaves to ensure sustainable development and safe operation of mines [2][3][4][5]. Accurate detection of the goaf is the premise of stability analysis and treatment of goaf.…”

Section: Introductionmentioning

confidence: 99%

Application of BLSS-PE Mine 3D Laser Scanning Measurement System in Stability Analysis of a Uranium Mine Goaf

2023

Archives of Mining Sciences

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ApplicAtion of BlSS-pE MinE 3D lASEr ScAnning MEASurEMEnt SyStEM in StABility AnAlySiS of A urAniuM MinE goAfAccurate understanding of the three-dimensional (3d) morphology of a complex goaf and its relative displacement in space is a precondition to further analyzing the stability of the cavity. in this study, to make an accurate stability analysis of the goaf, laser detection and numerical simulation are used to study the interior space form of goaf and the change characteristics of stress and displacement in goaf. The results of the study show that the BLSS-PE mining 3d laser system as a field detection tool can detect the morphology of the cavity more comprehensively and improve the accuracy of the detection data to a certain extent. Combined with the numerical simulation software analysis, it can be seen that the maximum principal stress in the 818-2# goaf increases after excavation. in addition, the maximum value appears in the top and bottom plates of the goaf, and the minimum stress remains nearly unchanged. The tensile stress appears in the upper and lower plates but is lower than the surrounding rock. The maximum horizontal and vertical displacements of the 818-2# goaf are small. The plastic zone appears in the surrounding rock of the goaf as the mining work progresses, but the area is small. it is concluded that the goaf is relatively stable overall. The research results may provide a strong reference for ground pressure management in mines and comprehensive control of goaves.

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The stability study of goaf based on C-ALS data point cloud and FLAC^3DCoupled modeling

Cited by 3 publications

References 4 publications

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

Early warning technique research of surface subsidence for safe mining in underground goaf in Karst Plateau zone

Application of BLSS-PE Mine 3D Laser Scanning Measurement System in Stability Analysis of a Uranium Mine Goaf

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The stability study of goaf based on C-ALS data point cloud and FLAC3DCoupled modeling

Cited by 3 publications

References 4 publications

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and Prevention - Volume II

Early warning technique research of surface subsidence for safe mining in underground goaf in Karst Plateau zone

Application of BLSS-PE Mine 3D Laser Scanning Measurement System in Stability Analysis of a Uranium Mine Goaf

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The stability study of goaf based on C-ALS data point cloud and FLAC^3DCoupled modeling