A meta model for simulation-based steering of the tunneling process using actual geological conditions

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 781

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شناسه ملی سند علمی:

RSTCONF01_437

تاریخ نمایه سازی: 30 آبان 1394

چکیده مقاله:

For a tunnel built under complex geological conditions with shallow-buried and high-weathered soft rock, the rock wall can quickly become unstable. In addition, special geological conditions can cause serious damage or deformation to construction areas thereby threatening the safety of tunnel workers. In this paper, a new method for the simulation supported steering of the mechanized tunneling process in real time during construction is proposed. To enable real-time predictions of tunneling induced surface settlements, meta models trained a priori from a comprehensive process-oriented computational simulation model for mechanized tunneling for a certain project section of interest are introduced. For the generation of the meta models, Artificial Neural Networks (ANN) are employed in conjunction with Ant Colony Optimization (ACO) for the model update according to monitoring data obtained during construction and for the optimization of machine parameters to keep surface settlements below a given tolerance

نویسندگان

Armin Monir Abbasi

Assistant Professor, Department of Civil Engineering, Payame Noor University, Iran

Bagher Dastyar

Graduate student of construction engineering and management, faculty of engineering, payam e Noor University, Karaj branch

Mojtaba Hakamian

Graduate of Geology, faculty of Earth Sciences, Shahid Beheshi University, Teharn

Mohammad Mehdi Gheisar

Graduate of construction engineering and management, faculty of engineering, payam e Noor University, Karaj branch

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