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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 problems that traditional inverse analysis optimization is easy to be limited to local minimization and the back analysis data is not intuitive, a new global intelligent optimization algorithm (DE) is introduced and combined with the elastic-plastic nonlinear finite element FEM (FEM) Quick identification of elastic and plastic parameters of surrounding rock. Based on the visualized class library (VTK), the image data of the results of stress, strain and node displacement were displayed, which enabled the EEOS high performance visualization platform for tunnel construction back analysis. Introduced in the principle of algorithm, program design, based on the introduction of the system in a project application. The application shows that the platform has the advantages of fast convergence, high recognition accuracy and intuitionistic results, which provides a scientific and efficient way for tunnel engineering reverse analysis.