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Fractal and seismic b-value study during dynamic roof displacements (roof fall and surface blasting) for enhancing safety in the longwall coal mines

机译:动态屋顶位移期间的分形和地震B值研究(屋顶落下和表面爆破)加强长墙煤矿安全性

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Mining of coal has always been a very risky task from older times and, is often associated with various fatal accidents in form of rock bursts, gas outbursts, slope/bench failure. Studies carried out by various safety agencies around the world such as MSHA (USA), DGMS (India), State Administration (China), have reported higher fatality rates in underground mines, and are mostly resulting from the sudden roof falls. Most of the roof falls occur suddenly in the running mine due to support failure or adverse strata conditions. The present study focuses on the monitoring of the roof falls in the longwall mine of Central India, as the presence of stable roof has resulted in several roof fall related accidents in various Indian longwall panels including Churcha mine, Kothadi mine and GDK-11A incline. The aforesaid accidents was also responsible for the poor performance of longwall mines in India, which is considered to be one of the best mining practices in majority of the coal producing countries of the world. The paper incorporates the spatial distribution and magnitude of microseismic events released before/during the roof falls and surface blasting in terms of Fractal Dimension as well as b-value. These two parameters helped in getting precursory signatures for spatio-temporal forecasting of minor and major roof falls, as well as helped in monitoring strata behavior during surface blasting. A total of sixty-four minor falls (LF1-LF64), seventy-six major falls (RF1-RF76) and fifteen surface blasting (SB1-SB15). The results showed decreasing trend in the both Fractal Dimension (D) and b-value before roof fall, as microseismic events emitted were highly clustered and had higher magnitude. Whereas, higher Fractal Dimension (D) and lower b-value was seen during surface blasting, when the emitted microseismic events had higher magnitude but were found to be dispersive in nature.
机译:煤炭的采矿始终是较旧时期的风险,并且通常与岩石爆发,瓦斯爆发,坡/板凳失败的形式的各种致命事故相关。由MSSHA(美国),DGMS(印度),国家行政(中国)等各种安全机构进行的研究报告了地下矿山的比例更高,而且大多是由突然的屋顶落下。由于支撑失败或不利的地层条件,大多数屋顶瀑布突然发生。本研究重点研究了印度中部长墙矿的屋顶的监测,因为稳定的屋顶的存在导致各种印度长风板的几个屋顶相关事故,包括教堂矿,Kothadi Mine和GDK-11A倾斜。上述事故也负责印度的长墙矿山的表现不佳,这被认为是世界各大部分煤炭生产国的最佳采矿实践之一。本文包括在屋顶之前/期间释放的微震事件的空间分布和大小,并且在分形尺寸以及B值方面爆破。这两个参数有助于获得小型和主要屋顶的时空预测的前兆签名,以及在表面爆破期间监测地层行为的帮助。共有六十四个小瀑布(LF1-LF64),七十六个主要瀑布(RF1-RF76)和十五种表面爆破(SB1-SB15)。结果表明,由于发出的微震事件高度聚类并且具有更高的幅度,结果表明,在屋顶下降之前的分形尺寸(D)和B值下降递减。然而,在表面爆破期间看到较高的分形尺寸(D)和更低的B值,当发出的微震事件具有更高的数量时,但发现在自然界中被分散。

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