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。
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.
出处
《金属矿山》
CAS
北大核心
2005年第9期26-28,31,共4页
Metal Mine
基金
国家自然科学基金项目(50174035)。
