关键词: 盾构法隧道 施工参数 多级神经网络 遗传算法

Abstract:

Setting appropriate construction parameters to control the ground settlement is the linchpin of shield tunneling. This paper divides the whole shield  drive process into seven stages, in which each stage is simulated by an artificial neural network, The multi-level artificial neural network, which is c omposed by the seven stages, builds the relational model between construction parameters and the ground settlement. According to this model, we optimize   the control scheme to ensure quality, increase speed and decrease cost by genetic algorithms. This approach has been applied to many tunneling projects  and the results show good prospect.

Key words: tunnel, construction parameter, multi-level artificial neural network, genetic algorithm