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.