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程潮铁矿的矿岩稳定性分级分区
引用本文:冯夏庭,林韵梅. 程潮铁矿的矿岩稳定性分级分区[J]. 有色金属, 1993, 0(4)
作者姓名:冯夏庭  林韵梅
作者单位:东北大学 东北大学 沈阳 110006 博士 沈阳 110006 教授
摘    要:本文针对地下工程的设计、施工和矿山生产的实际需要,提出矿岩稳定性分级分区的概念和智能化方法。将人工智能、神经网络、岩石力学与CAD技术相结合,探讨了分区过程中诸如分区参数的神经网络最优辩识、地质结构面评价、粗略分级分区和详细分级分区的启发式推理方法、具有多内部不规则边界的离散数据点网络自动生成等核心问题,给出了实现分级分区的智能CAD系统。程潮铁矿的实际应用表明,该方法及其智能系统科学、实用。

关 键 词:矿岩稳定性  分区  神经网络  人工智能  智能CAD  自学习  非线性动态处理  自适应识别

STABILITY ZONING OF SURROUNDING ROCKS AT CHENGCHAO IRON MINE
Feng Xiating Lin Yunmei. STABILITY ZONING OF SURROUNDING ROCKS AT CHENGCHAO IRON MINE[J]. Nonferrous Metals, 1993, 0(4)
Authors:Feng Xiating Lin Yunmei
Abstract:Based on the requirements of stability evaluation in mine production and excavation design, this paper presents the concept and intelligent method for stability zoning of surrounding rocks of underground openings. The zoning approach is performed on the combination of artificial intelligence, neural net work,rock mechanics and computer technique. Several key problems related to zoning such as optimal discrimination of zoning parameters using neural net work, heuristic inference on discontinuity Property appraising, primary zon ing and further zoning, automated generation of triangle networks with many irregular inner boundaries are discussed. An intelligent CAD zoning system has been constructed to perform the zoning operation, and applied at Cheng chao Iron Mine.
Keywords:surrounding rock stability   zoning   neural network   artificial intelligence   intelligent CAD   self-learning   nonlinear dynamic processing   adaptive recognition
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