基于变步长FOA—Richards模型的地表沉降动态预计  

Dynamic prediction of surface subsidence based on variable step size FOA-Richards model

作　　者：牛亚超 NIU Yachao(School of Geodesy and Geomatics,Anhui University of Science and Technology,Huainan 23201,China)

机构地区：[1]安徽理工大学测绘学院

出　　处：《黑龙江工程学院学报》2019年第4期17-19,45,共4页Journal of Heilongjiang Institute of Technology

摘　　要：针对地表动态沉降的非线性和随机性特征,且沉降大致呈现“S”形曲线发展,最终趋向于稳定状态,采用Richards函数进行动态预计。基于采动区地表下沉Richards模型求取参数较为复杂,引入变步长果蝇优化算法(FOA)思想,建立采动区地表下沉动态预计的变步长FOA-Richards模型,以提高预测精度。工程实例分析表明,变步长FOA-Richards模型符合理想的时间函数特征,能够较好地预计出动态下沉值及下沉速度,且精度可靠性较高。Aiming at nonlinear and random characteristics of the surface dynamic subsidence,the subsidence shows the development of the“S”curve,which eventually tends to be stable.It can be predicted dynamically by the Richards function.Based on the mining area surface sinking Richards model to obtain more complex parameters,the variable step size fruit fly optimization algorithm(FOA)is introduced,and the variable step size FOA-Richards model of the surface subsidence dynamics in the mining area is established to improve prediction accuracy.A case study is given.The result shows that:the variable step size FOA-Richards model can satisy the requirements of perfect time function and can predict the dynamic subsidence value and sinking speed better,thus the accuracy and reliability getting higher.

关 键 词：动态预计 变步长果蝇优化算法 RICHARDS函数 开采沉陷 参数求取 

分 类 号：TD325[矿业工程—矿井建设]