| 矿山覆岩力学参数的三维位移反演方法研究 |
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| 引用本文： | 张庆松,高延法,李术才.矿山覆岩力学参数的三维位移反演方法研究[J].金属矿山,2005(9):26-28,31. |
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| 作者姓名： | 张庆松 高延法 李术才 |
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| 作者单位： | 山东大学;山东科技大学 |
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| 基金项目： | 国家自然科学基金项目(50174035)。 |
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| 摘 要： | 力学参数的确定是岩土工程数值计算中的关键问题,三维反演方法所获得参数比二维方法准确,但存在计算工作量大,传统优化方法难以寻优等问题。为此,结合开采沉陷计算中力学参数反演的特点,应用神经网络技术实现了覆岩力学参数的三维位移反演。
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| 关 键 词： | 开采沉陷 三维位移反演 神经网络 |
| 收稿时间： | 2005-07-21 |
| 修稿时间： | 2005-07-21 |
Study on 3D-displacement Inversion Method for Mechanical Parameters of Mine Overlying Rock |
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| Zhang Qingsong,Gao Yanfa,Li Shucai.Study on 3D-displacement Inversion Method for Mechanical Parameters of Mine Overlying Rock[J].Metal Mine,2005(9):26-28,31. |
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| Authors: | Zhang Qingsong Gao Yanfa Li Shucai |
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| Affiliation: | 1.Shandong University;2.Shandong University of Science and Technology |
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| Abstract: | The determination of mechanical parameters is a key issue in the value calculation of geotechnical engineering. Though three dimensional inversion method can obtain more accurate parameters than two dimensional method, it has the problems of great calculation work and difficult optimization in traditional ways. Therefore, in light of the features of the inversion of the mechanical parameters in mining subsidence calculation, neural network is used to realize the 3D-displacement inversion of the mechanical parameters of overlying rock. |
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| Keywords: | Mining subsidence 3D-displacement inversion Neural network |
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