Application of target approaching with variable weight in prediction of rockburst intensity

Liu Lei-lei; Zhang Shao-he; Wang Xiao-mi; Hao Zhi-bin

doi:10.11883/1001-1455(2015)01-0043-08

Volume 35 Issue 1

Feb. 2015

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Liu Lei-lei, Zhang Shao-he, Wang Xiao-mi, Hao Zhi-bin. Application of target approaching with variable weight in prediction of rockburst intensity[J]. Explosion And Shock Waves, 2015, 35(1): 43-50. doi: 10.11883/1001-1455(2015)01-0043-08

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Application of target approaching with variable weight in prediction of rockburst intensity

doi: 10.11883/1001-1455(2015)01-0043-08

Liu Lei-lei^{1, 2},
Zhang Shao-he^{1, 2
,
,},
Wang Xiao-mi²,
Hao Zhi-bin^{1, 2}

1.
Key Laboratory of Metallogenic Prediction of Nonferrous MetalsMinistry of Education, Central South University, Changsha 410083, Hunan, China
2.
School of Geosciences and Info-Physics, Central South University, Changsha 410083, Hunan, China

Received Date: 2013-05-03
Rev Recd Date: 2013-07-31
Publish Date: 2015-01-25

Abstract

Abstract

According to the uncertainty of rock burst intensity prediction and the incompatible problem of the single index which mainly influences the rock burst, a method combining variable weight theory with the degree of target approaching is proposed to make prediction of rock burst intensity. First, considering the preference degree of the judge, a variable weight model is given to calculate the weights of indexes based on a balance function. Second, this method constructs an interval incidence function, and the maximum value of incidence function for single index is used to be the target, so the rock burst intensity can be predicted based on the degree of approaching between samples and targets-the larger degree of the target approaching, the higher intensity of the rock burst. Finally, this method is applied to Dongyu rock mine in Lingbao, Dongguashan rock mine and Qinling Tunnel rock burst, and the results show that it can predict the rock burst intensity correctly and reasonably. What's more, compared with other methods like Bayes discriminant analysis method and distance discriminant analysis method(DDA), it doesn't need any prior knowledge, and so is very direct and convenient for calculation. Therefore, this method is worthy of promotion and application.
- mechanics of explosion,
- target approaching,
- AHP,
- prediction of intensity,
- rockburst,
- incidence function,
- variable weight

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References(16)

References

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