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基于改进NSGA-Ⅱ算法的盾构机掘进参数多目标优化

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基于福州滨海快线工程,建立盾构机掘进参数多目标优化模型;根据NSGA-Ⅱ算法在初始种群的分布和寻优速度上的不足之处,运用正交试验法对NSGA-Ⅱ算法进行改进;以中风化花岗岩地层为例进行多目标优化,分析算法改进前后的优化性能及掘进参数多目标优化结果,得到最优掘进参数组合.结果表明:优化后的盾构平均掘进比能降低6.29%,平均掘进效率提升7.19%,平均边缘滚刀单位距离磨损量下降2.37%.优化后的盾构刀盘性能得到较大提升,证明该优化模型可行有效.
Multi-objective Otimization of Tunneling Parameters of Shield Machine Based on Improved NSGA-Ⅱ Algorithm
Based on the Fuzhou Binhai Express Line project,a multi-objective optimization model of shield tunneling parameters is established.According to the shortcomings of NSGA-Ⅱ algorithm in the distribution of initial population and the speed of searching for optimization,NSGA-Ⅱ algorithm is improved by using orthogonal test method.The multi-objective optimization is carried out for the example of the medium-weathering granite stratum,and the optimization performance before and after the algorithm improvement is analyzed and the optimal combination of tunneling parameters is obtained by analyzing.The results show that the optimized tunneling parameter combinations are the same as the optimization results before and after the algorithm improvement.The results show that the average tunneling specific energy of the optimized shield structure is reduced by 6.29%,the average tunneling efficiency is increased by 7.19%,and the average edge hob wear per unit distance is reduced by 2.37%.The optimized shield cutter performance is greatly improved,which verifies the feasibility and effectiveness of the optimization model.

tunnel engineeringsoil-pressure balance shieldmulti-objective optimizationboring parametersimproved NSGA-Ⅱ algorithm

郭书强、陆帅、林赉贶、刘沛

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中国交建轨道交通事业部,北京 102200

中交天和机械设备制造有限公司,江苏常熟 215500

中南大学机电工程学院,长沙 410083

隧道工程 土压平衡盾构 多目标优化 掘进参数 改进NSGA-Ⅱ算法

2024

路基工程
中铁二局集团有限公司,西南交通大学,中铁二院工程集团有限责任公司

路基工程

影响因子:0.36
ISSN:1003-8825
年,卷(期):2024.(5)