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goafs相关的网络例句

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与 goafs 相关的网络例句 [注:此内容来源于网络,仅供参考]

He problem urgently needing to be solvedin many mineareas is the stability of foundation on the ground above the old mine goafs arosed from gigantic building.

老采空区上方建大型建筑物所引起的地基稳定性问题是目前一些矿区急待解决的问题。

Considering the current state of gas drainage in goafs of highly gassy mine in China, the "draining while mining" gas drainage method during open region movement behind working faces was emphasized to raise the resource recovery, decrease atmosphere pollution and implement gas control.

针对我国高瓦斯矿井采空区瓦斯抽放的现状,强调了在工作面后方&边采边抽&的开区移动瓦斯抽放方法,以提高资源回收减少大气污染与瓦斯治理的双重效益。

By evaluating the stability parameters such as the upper wall thickness,solidness and the strength of the mine props,etc,dangerous area of the goafs are predicted. Practical and economic protection measures are proposed ...

针对采空区的顶板厚度、稳固性、矿柱强度等稳定性参数,预测了采空区危险地段,建议对采空区采取监测、封闭、排水、充填、联合支护等既安全又经济可行的防治措施。

Flow pattern computation is carried out by using a modified function of stream function Laplace equation proposed by the author, and the flow fields of heterogeneous goafs with complicated shapes and along the boundary direction can meet the condition of orthogonality of flow net, and at the same time the orthogonality can be controlled by the precision of split meshes.

指出用 流函数Laplace方程修正函数,对复杂形状和沿多边界方向非均质的采空区流场计算,仍能满足流网正交,其正交性可通过剖分网格精度来控制。

Reliability evaluation of existing structures is shown from the angle of artificial neural network. The influencing factors and deformation characteristics of buildings above goafs are summarized based on the code of coal pillar design and pressed coal mining for buildings, water-bodies, railroads and main mine roadway. The model of neural network is build to solve the problems about complex influencing factors and long evaluating time of building evaluation. BP network model compared with traditional way has strong practicability and extension value.

本文从人工神经网络的角度着手,基于国家煤炭工业《建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规程》,分析了采动区建筑结构的影响因素和变形特性,运用已有的采动区建筑物可靠性评估实例,建立了BP人工神经网络可靠性评估模型,对采动区在役结构可靠性进行了评估,较好地解决了采动区建筑物可靠性评估影响因素复杂和耗时长的问题。

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