Based on detailed information collected in Dalian Metro

in this paper

a reasonable monitoring program is developed

through which the deformation trend and characteristics of surrounding rock could be reasonably predicted.As a result

a reasonable time for secondary lining support is identified.Through the analysis of measurement results

the inversion parameter of surrounding rock is determined.The inversion parameters

i.e.

the elastic modulus Eand horizontal lateral pressure coefficient K

are horizontal differentiated.Based on the orthogonal experiment design and uniform experimental design method

for the selected reference section

FLAC

3D

numerical simulation and the method of combining the BP neural network are adopted to establish the neural network training samples and monitoring samples

respectively.Then dalian underground subway interval of two parameters of surrounding rock

elastic modulus Eand horizontal lateral pressure coefficient K

are calculated.Then inversion parameters were applied to the forward analysis of the underground tunnel by FLAC

3D

.The analyzed and monitored deformations are compared and indicated that the results conform to the requirements of the specification.