2017
DOI: 10.1007/s10230-017-0463-3
|View full text |Cite
|
Sign up to set email alerts
|

An Improved Vulnerability Assessment Model for Floor Water Bursting from a Confined Aquifer Based on the Water Inrush Coefficient Method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
26
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 48 publications
(27 citation statements)
references
References 24 publications
1
26
0
Order By: Relevance
“…The reliability probability of the system reaches the maximum value when the reliability probability of the shear failure type and the tensile failure mode is the same (2) A larger variance coefficient of the random variable corresponds to a smaller correlative failure mode and the reliability probability of the system; however, the median safety factor remains unchanged (3) The position of the key strata has an important influence on the stability and reliability probability of the water-resistant floor. When the key strata are far away from the influence range of the mining and confined water progressive intrusion, the stability and reliability probability of the water-resistant floor can reach the maximum value (4) The application of the case shows that the safety coefficient specified in the regulation and the system reliability probability calculated by the model in this study can be used as an evaluation index to obtain the evaluation results of the risk of floor water inrush more accurately and comprehensively…”
Section: Applicationmentioning
confidence: 87%
See 1 more Smart Citation
“…The reliability probability of the system reaches the maximum value when the reliability probability of the shear failure type and the tensile failure mode is the same (2) A larger variance coefficient of the random variable corresponds to a smaller correlative failure mode and the reliability probability of the system; however, the median safety factor remains unchanged (3) The position of the key strata has an important influence on the stability and reliability probability of the water-resistant floor. When the key strata are far away from the influence range of the mining and confined water progressive intrusion, the stability and reliability probability of the water-resistant floor can reach the maximum value (4) The application of the case shows that the safety coefficient specified in the regulation and the system reliability probability calculated by the model in this study can be used as an evaluation index to obtain the evaluation results of the risk of floor water inrush more accurately and comprehensively…”
Section: Applicationmentioning
confidence: 87%
“…Therefore, water damage to the mine floor should be studied and the occurrence of water inrush accidents in coal mines, which is a difficult problem to solve, should be effectively curbed [1][2][3]. Several studies have attempted to investigate the problem of floor water inrush and have proposed various approaches, such as the water inrush coefficient [4][5][6], plate model [7][8][9], down three zones [10][11][12], and key strata [13][14][15][16][17]. These studies revealed the mechanism of water inrush considering various aspects and provided positive guidance for mine safety production.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the statistical analysis of long-term experimental and engineering measured data, the researchers and engineers found that the thickness of the fractured area can be calculated by some functions of the length of the working face, the depth of the coal seam, and the angle of the coal seam, and therefore obtained the empirical equations. The empirical formulas are [33]: The conception of the water inrush coefficient is proposed based on the statistical analysis of long-term water inrush data and defined in the Regulation for Coal Mine Water Prevention and Control [34],…”
Section: Application In Predicting Water Inrushmentioning
confidence: 99%
“…The conception of the water inrush coefficient was proposed based on the statistical analysis of long-term water inrush data and defined in the Regulation for Coal Mine Water Prevention and Control [25], where the water inrush coefficient is expressed as an empirical formula [26]:…”
Section: The Methods Based On the Water Inrush Coefficientmentioning
confidence: 99%