An Improved Dempster–Shafer Evidence Theory Based on the Chebyshev Distance and Its Application in Rock Burst PrewarningsSource: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001::page 04023055-1Author:Faxing Zhang
,
Liming Zhang
,
Zhongyuan Liu
,
Fanzhen Meng
,
Xiaoshan Wang
,
Jinhao Wen
,
Liyan Gao
DOI: 10.1061/AJRUA6.RUENG-1201Publisher: ASCE
Abstract: The prewarning and responses of different monitoring indices are out of sync in engineering disaster warning, and the disaster risk assessment is inaccurate based on individual response index or comparison with different indices. The traditional Dempster–Shafer (DS) evidence theory cannot readily integrate the conflicting multivariate monitoring data. In the present study, the DS evidence theory was improved by integrating various conflicting multivariate monitoring data, and the application condition, advantages, and disadvantages of those modified methods based on the DS evidence theory were investigated. An improved DS evidence theory method was proposed based on the Chebyshev distance and the zero-divisor modified evidence source method. The results indicated that the improved DS evidence theory based on the Chebyshev distance performs well in both integrating the conflicting and nonconflicting monitoring data and is superior to other improved methods in suppressing interfering evidence with good stability. The proposed improved DS evidence theory based on the Chebyshev distance is then applied to rock burst prewarning, and the prewarning model is established based on multiphysics in situ monitoring data. The probability with various risk levels is employed to assess the safety state, which can reflect the degree of rock burst. The risk of rock burst can be quantitatively predicted using this proposed method, which can provide some guidance in the prewarning of engineering disasters.
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contributor author | Faxing Zhang | |
contributor author | Liming Zhang | |
contributor author | Zhongyuan Liu | |
contributor author | Fanzhen Meng | |
contributor author | Xiaoshan Wang | |
contributor author | Jinhao Wen | |
contributor author | Liyan Gao | |
date accessioned | 2024-04-27T22:44:36Z | |
date available | 2024-04-27T22:44:36Z | |
date issued | 2024/03/01 | |
identifier other | 10.1061-AJRUA6.RUENG-1201.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4297389 | |
description abstract | The prewarning and responses of different monitoring indices are out of sync in engineering disaster warning, and the disaster risk assessment is inaccurate based on individual response index or comparison with different indices. The traditional Dempster–Shafer (DS) evidence theory cannot readily integrate the conflicting multivariate monitoring data. In the present study, the DS evidence theory was improved by integrating various conflicting multivariate monitoring data, and the application condition, advantages, and disadvantages of those modified methods based on the DS evidence theory were investigated. An improved DS evidence theory method was proposed based on the Chebyshev distance and the zero-divisor modified evidence source method. The results indicated that the improved DS evidence theory based on the Chebyshev distance performs well in both integrating the conflicting and nonconflicting monitoring data and is superior to other improved methods in suppressing interfering evidence with good stability. The proposed improved DS evidence theory based on the Chebyshev distance is then applied to rock burst prewarning, and the prewarning model is established based on multiphysics in situ monitoring data. The probability with various risk levels is employed to assess the safety state, which can reflect the degree of rock burst. The risk of rock burst can be quantitatively predicted using this proposed method, which can provide some guidance in the prewarning of engineering disasters. | |
publisher | ASCE | |
title | An Improved Dempster–Shafer Evidence Theory Based on the Chebyshev Distance and Its Application in Rock Burst Prewarnings | |
type | Journal Article | |
journal volume | 10 | |
journal issue | 1 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.RUENG-1201 | |
journal fristpage | 04023055-1 | |
journal lastpage | 04023055-12 | |
page | 12 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001 | |
contenttype | Fulltext |