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Session:

LBP - Late-breaking papers

Title:

FTO: A Genetic Algorithm for Tunnel Design Optimisation

   

Authors:

Martin Reed
Stefan Schenk
Gunter Swoboda

   

Abstract:

This paper presents a genetic algorithm for automating the design process for underground tunnels. The tunnel cross-sectional profile must enclose a prescribed minimum space polygon, and for stability the bending moments in the shotcrete lining must not exceed certain limits. The engineer seeks to achieve these aims while minimizing the volume of rock to be excavated. We describe the five parameters defining the tunnel profile, and develop a fitness function to model these design objectives. The genetic algorithm package, FTO, includes 2D finite element mesh generation and analysis modules, and sophisticated graphics using Microsoft .NET technology. A realistic example is solved in 30 generations, and the result compared with engineering experience.

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