Geotechnical risk evaluation of tunneling projects using optimization techniques (case study: the second part of Emamzade Hashem tunnel)
作者: Reza MikaeilSina Shaffiee HaghshenasZoheir Sedaghati
作者单位: 1Faculty of Mining and Metallurgical Engineering, Urmia University of Technology
2Young Researchers and Elite Club, Rasht Branch, Islamic Azad University
刊名: Natural Hazards, 2019, Vol.97 (3), pp.1099-1113
来源数据库: Springer Nature Journal
DOI: 10.1007/s11069-019-03688-z
关键词: Tunneling risksRisk managementMeta-heuristic algorithmsParticle swarm optimization (PSO)Stochastic optimizationFuzzy C-means
英文摘要: Abstract(#br)Tunneling projects are generally complex projects with numerous affective factors, including variable and unreliable conditions of the land. One of the appropriate tools for conducting a successful project is the implementation of risk management during its lifetime. The clustering of tunneling risks is an effective part of risk management. The research aims to achieve an optimization risk assessment based on clustering techniques in the projects which are faced with deep drillings. Hence, in this study, with contribution of the field study and use of failure modes and effects analysis results, the seven geological sections in the path of the second part of Emamzade Hashem tunnel are considered. In these seven sections, the area of instability around the tunnel, groundwater...
全文获取路径: Springer Nature  (合作)
影响因子:1.639 (2012)