A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Integration of Finite Difference Method and Genetic Algorithm to Seismic analysis of Circular Shallow Tunnels (Case Study: Tabriz Urban Railway Tunnels)
Abstract In this study, it is aimed to investigate the behavior of the concrete lining of circular shallow tunnels in sedimentary urban areas under seismic loads using integration of numerical and metaheuristic techniques. The Tabriz Urban Railway (TUR) Tunnel is used as a case study in this investigation. The seismic and geotechnical characteristics of the area were studied, and seismic analysis was carried out using a finite difference code (i.e., FLAC2D) and genetic algorithm. In the first step, final induced loads on lining due to Design Base Level (DBL), Maximum Credible Level (MCL) and static loads were determined using FLAC2D software. Then, eight parts of lining were classified using genetic algorithm based on axial force, bending moment and shear force for two types of earthquake loads. The results of classification were verified by the safety factors of the studied parts of the lining. By comparing these results, it can be concluded that the genetic algorithm can be reliably used to classify and evaluate the safety of lining based on static and dynamic loads.
Integration of Finite Difference Method and Genetic Algorithm to Seismic analysis of Circular Shallow Tunnels (Case Study: Tabriz Urban Railway Tunnels)
Abstract In this study, it is aimed to investigate the behavior of the concrete lining of circular shallow tunnels in sedimentary urban areas under seismic loads using integration of numerical and metaheuristic techniques. The Tabriz Urban Railway (TUR) Tunnel is used as a case study in this investigation. The seismic and geotechnical characteristics of the area were studied, and seismic analysis was carried out using a finite difference code (i.e., FLAC2D) and genetic algorithm. In the first step, final induced loads on lining due to Design Base Level (DBL), Maximum Credible Level (MCL) and static loads were determined using FLAC2D software. Then, eight parts of lining were classified using genetic algorithm based on axial force, bending moment and shear force for two types of earthquake loads. The results of classification were verified by the safety factors of the studied parts of the lining. By comparing these results, it can be concluded that the genetic algorithm can be reliably used to classify and evaluate the safety of lining based on static and dynamic loads.
Integration of Finite Difference Method and Genetic Algorithm to Seismic analysis of Circular Shallow Tunnels (Case Study: Tabriz Urban Railway Tunnels)
Salemi, Akbar (author) / Mikaeil, Reza (author) / Haghshenas, Sina Shaffiee (author)
KSCE Journal of Civil Engineering ; 22 ; 1978-1990
2017-08-15
13 pages
Article (Journal)
Electronic Resource
English
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