نوع مقاله : پژوهشی
نویسندگان
1 دانش آموخته کارشناسی ارشد، دانشکدة مهندسی عمران، دانشگاه علم و فرهنگ
2 استادیار دانشکده مهندسی عمران - دانشگاه صنعتی شریف
3 استادیار گروه پژوهشی سازه های صنعت برق - پژوهشگاه نیرو
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Slope stability analysis is one of the most important issues in the safe design of infrastructures. This is mainly due to the historical hazards arise from instability of soil mass, leading to serious consequences including both fatality and financial loss. According to the field observations, rainfall is one of the most important factors stimulating the instability of unsaturated slopes. Nonetheles, most classical solution methods ignore the unsaturated conditions by simply assuming the soil conditions dry or completely saturated. In order to cope with this limitation, commercial software has been improved for simulation of two-phase flow under unsaturated conditions such as the GeoStudio software package. However, the scientific chalenge as one of the limitation of commercial software is the optimization of critical slip surface under transient precipitation. Therefore, the main objective of this research is to develop a homemade computer code in MATLAB based on the Colliding Bodies Optimization (CBO) algorithm, so that it can be used for studying complex two-phase flow problems more time efficiently. The code can effectively calculate and optimize the factor of safety against stability considering the effects of precipitation applied to the slope boundaries by employing the Richards’ equation. Calculations of factor of safety are performed by assuming the circular wedge geometry and Bishop's method. According to the algorithm, the centroid of the wedge of slip circles in space is randomly guided and as a result, the coordinates of the circle collision points are obtained within the slope. If the consistency conditions are satisfied, the wedge is divided into parts and the factor of safety is calculated by finite difference method. This process will continue until the optimal factor of safety be obtained. Finally, the results of the code are validated against the output of GeoStudio 2018. The results confirm that the new method is robust in predicting the critical conditions much more rapidly than the software. Although changes in the factor of safety are minor for the simple validation example, the most important feature of the new code is that it reduces the CPU occupancy by 71% on average independent of the type of CPU.
کلیدواژه‌ها [English]
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