Abstract:

In this paper, the construction deformation control method based on artificial neural network intelligent prediction method(multistep fluctuant prediction) and intelligent fuzzy logic is put forward firstly. And then the intelligent deformation prediction and control of foundation pit and shield tunneling are presented by cases study. The applicable results show that the advantages of the intelligent method are as follows: (1) the precision error between 3 to 5　day predicted values of structural deformation and surface settlement and monitored values is within 5%~10%; (2) the current data can be seen and the deformation/displacement and settlement in 3 to 5 days can be predicted; (3) the subsequent construction deformation can be effectively controlled within limit by adopting intelligent logic control and adjusting construction technical parameters; (4) and a great amount of money can be saved, the construction schedule can be shorted, and the remote, wireless and video monitoring can be realized. Meanwhile, the multimedia 3D dynamic visualized simulation software and the computer intelligent management system are developed based on the discussion of metro construction deformation prediction and control. The software and the system have been successfully applied to the Yanjiang Tunnel shield construction in Shanghai by Shanghai Tunnel Engineering Co.〖KG-*3〗, Ltd. which resulting in good technical benefits. Finally, the prospect and issues of artificial intelligence science are discussed.

Key words: artificial intelligence, neural network, machine learning, rail transit/metro, deep and large foundation pit of underground station, shield tunnel, construction technical parameters, construction deformation intelligent prediction, intelligent fuzzy logic control, fine intelligent technical management, 5G network system