Real-Time Dynamic Earth-Pressure Regulation Model for Shield Tunneling by Integrating GRU Deep Learning Method With GA Optimization

Abstract

This paper proposes an intelligent framework to predict and automatically regulate earth pressure using a deep learning technique during earth pressure balance shield tunneling. A prediction model was proposed by integrating a new cost function (relative mean square error) with a gated recurrent unit (GRU). The moving average smoothing method was also incorporated into the GRU model to reduce the noise of the dataset and improve the accuracy of the proposed model. A real-time dynamic regulation model for adjusting the operational parameters was proposed by integrating the GRU model into a genetic algorithm-based optimizer. By adjusting the operational parameters, the dynamic regulation model regulates the excessive predicted earth pressure within a suggested range. The proposed prediction and regulation models were applied to a metro tunnel construction in Luoyang, China. The results show that the proposed models provide good guidance for automated tunnel construction. INDEX TERMS Automatic regulation, earth pressure, gated recurrent unit, genetic algorithm, shield tunneling.

Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

“…The very small error found between the observed and simulated earth pressure balance showed the high performance of their models. Recently, Gao et al [29] used GRU for solving a similar problem in Luoyang, China. Although the application of these deep learning arterial intelligence models in the field of groundwater predictions is relatively rare to date, some researchers used the ANN, ANFIS, and SVR to simulate groundwater-levels [30][31][32][33][34][35][36].…”

Data in intelligent approach for estimation of disc cutter life using hybrid metaheuristic algorithm

“…The tunnel section is located in the zone of airport terminal 3, between Bao'an Airport North Station and Bao'an Airport Station. To construct the tunnel, an earth pressure balance shield machine is used [4] , [5] , [6] . The cutterhead shield machine is 8.85 m in diameter, and the trailing shield is 8.50 m in diameter, thereby leading to an over-cut annulus of 35.0 mm.…”

Water Inrush Hazards in the Chaoyang Tunnel, Guizhou, China: A Preliminary Investigation

“…With the rapid economic growth and continuous urbanization process, an overwhelming number of infrastructure projects has been carried out in China over the past 30 years [1][2][3][4]. In the construction process of these infrastructures and facilities, many human engineering activities including tunneling [5][6][7][8][9], dewatering [10][11][12][13][14][15][16][17][18][19], excavations [20][21][22][23], and embankment constructions [24][25][26][27] have resulted in disastrous hazards and fatal incidents. These hazards can occur in inland areas [28][29][30] as well as coastal areas [31][32][33][34][35][36].…”