An Optimization Model of Tunnel Support Parameters
An Optimization Model of Tunnel Support Parameters is a scholarly work, published in 2015 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include length measurement, engineering research, geotechnical engineering, nonlinear regression, mathematical optimization, coefficient of determination, work, simulation, structural engineering, basis, shotcrete, linear regression, regression analysis, seismic analysis, software, computer science, and engineering. An optimization model was developed to obtain the ideal values of the primary support parameters of tunnels, which are wide-ranging in high-speed railway design codes when the surrounding rocks are at the III, IV, and V levels.First, several sets of experiments were designed and simulated using the FLAC 3D software under an orthogonal experimental design.Six factors, namely, level of surrounding rock, buried depth of tunnel, lateral pressure coefficient, anchor spacing, anchor length, and shotcrete thickness, were considered.Second, a regression equation was generated by conducting a multiple linear regression analysis following the analysis of the simulation results.Finally, the optimization model of support parameters was obtained by solving the regression equation using the least squares method.In practical projects, the optimized values of support parameters could be obtained by integrating known parameters into the proposed model.In this work, the proposed model was verified on the basis of the Liuyang River Tunnel Project.Results show that the optimization model significantly reduces related costs.The proposed model can also be used as a reliable reference for other high-speed railway tunnels.