Research on Multi-Objective Optimization Model of Foundation Pit Dewatering Based on NSGA-II Algorithm

• الحاوية / القاعدة: Applied Sciences
• المؤلفون الرئيسيون: Zhiheng Ma, Jinguo Wang, Yanrong Zhao, Bolin Li, Yufeng Wei
• التنسيق: مقال
• اللغة: الإنجليزية
• منشور في: MDPI AG 2023-09-01
• الموضوعات: multi-objective optimization; NSGA-II algorithm; Pareto-optimal solution set; evaluation system; foundation pit dewatering
• الوصول للمادة أونلاين: https://www.mdpi.com/2076-3417/13/19/10865

This study focuses on optimizing the foundation pit dewatering scheme using the foundation pit dewatering theory and the principles of multi-objective optimization. It explores the development of a multi-objective optimization model and efficient solution technology for foundation pit dewatering. This research focuses on the foundation pit dewatering project at the inverted siphon section of Xixiayuan canal head, specifically from pile number XZ0+326 to XZ0+500. It establishes an optimized mathematical model for foundation pit dewatering that incorporates three objectives. Additionally, a dewatering optimization program is developed by utilizing the MATLAB optimization toolbox and the multi-objective optimization algorithm program based on the NSGA-II algorithm (Gamultiobj). The multi-objective optimization mathematical model is solved, and a Pareto-optimal solution set with uniform distribution is obtained. The multi-objective optimization evaluation system based on AHP is constructed from the three aspects of dewatering cost, the impact of settlement on the environment, and the safety and stability of the foundation pit. The optimization scheme of the Pareto-optimal solution set is selected as the decision result to provide multiple feasible schemes for the dewatering construction of foundation pits. The optimization scheme is verified by using the GMS software. The simulation results demonstrate that the optimization scheme fulfills the requirements for water level and settlement control. Moreover, the developed optimization program efficiently solves the multi-objective optimization problem associated with foundation pit dewatering. Lastly, an evaluation system incorporating the NSGA-II algorithm and AHP is developed and utilized in the context of dewatering engineering in order to offer multiple viable optimal dewatering schemes.