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1. A method of quantitative analysis based on deviation coefficient and sliding time window | |||
ZHANG Zhanyang,YANG Guohua,SUN Qikai,ZHANG Junqing,HE Yadong | |||
Surveying and Mapping Technology 27 December 2019 | |||
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Abstract:In order to scientifically and accurately describing the shape of deviation distribution curve of the short-level segment data of seismostation, this paper used deviation coefficient and sliding time window to analyze and summarize trends of deviation distribution curves of 2-3(k) segment of Chaoyang seismostation quantitatively before and after Chaoyang M4.6 and M4.3 earthquakes on May 22, 2016: general data anomalies caused by crustal deformation reveal the deviation coefficients get larger and the shapes of deviation distribution curves of the segment deviate from normal distribution before the earthquake, and the deviation coefficients get smaller and the shapes of deviation distribution curves of the segment restore to normal distribution after the earthquake. Then preliminary analysis of earthquake risk near the seismostation was made based on recent data. As a result, the figures prove that this quantitative analysis method has reference valuable for data anomalies recognition before earthquake to a certain extent, which also provides a new way of research for earthquake monitoring and prediction analyzing. | |||
TO cite this article:ZHANG Zhanyang,YANG Guohua,SUN Qikai, et al. A method of quantitative analysis based on deviation coefficient and sliding time window[J]. |
2. The stability estimation of irregular coal pillars | |||
cui ximin,Peng Xiaozhan,Yuan Debao,Zhao Rui,Zhang Bing,Ma Deming | |||
Surveying and Mapping Technology 12 March 2007 | |||
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Abstract:The pillar stability is very important for the safety mining and the irregular pillar stability estimation is complicated than the regular pillar. Generally, the stability of irregular coal pillars is controlled by the width / height ratio, mining depth, tributary area and related to its spatial distribution. Based on the study of regular pillar stability estimation, the concept of efficient width is proposed and the Voronoi Diagram is introduced to determine the tributary area. The calculated results demonstrate that there are 72 failed pillars, 14 unstable pillars and 52 stable pillars in panel 404. A single pillar inadvertently fail the load could be transferred to adjacent pillars causing those to be overload. This successive overloading process leads to an unstable progressive “domino” effect whereby large areas of the mine occur. | |||
TO cite this article:cui ximin,Peng Xiaozhan,Yuan Debao, et al. The stability estimation of irregular coal pillars[OL].[12 March 2007] http://en.paper.edu.cn/en_releasepaper/content/11384 |
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