摘要
针对传统反分析优化容易限于局部最小化以及反分析数据不直观等问题,引进一种新的全局智能优化算法(DE),与应力回映的弹塑性非线性有限元(FEM)相结合,实现围岩弹塑性参数快速识别。基于可视化类库(VTK)对单元应力、应变和节点位移等结果数据进行图像显示,从而实现了隧道施工反分析EEOS高性能可视化平台。在介绍算法原理、程序设计基础上,介绍该系统在某工程的应用情况。应用表明,该平台计算收敛快速、识别精度高、结果直观,为隧道工程反分析提供了科学高效的途径。
Aiming at the conventional back analysis method easily being limited in local optimization and back analysis data being not visualized, a new global intelligent optimization arithmetic-difference evolution （DE） is introduced and combined with stress return mapping nonlinear elastoplastic finite element method（FEM）, realizing rapid elastoplastic parameters identification of surrounding rock. Displaying the element stress, element strain and node displacement by image based on visual class library, the visual platform with high performance of tunnel construction back analysis has been realized. After the introduction of arithmetic theory and program design, the engineering application of the platform is also introduced. The application displays that the platform has high computing precision and has visualized computing result, which provides scientific and high effect mean for tunnel back analysis.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2012年第8期2507-2512,共6页
Rock and Soil Mechanics
基金
国家自然科学基金项目(No.51079010)
中央高校基本科研业务费资助项目(No.2011JC012
No.2012TD015)
关键词
地下工程
反分析
差异进化
可视化
应力回映
underground engineering
back analysis
difference evolution
visualization
stress return mapping
