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作 者:郭书强 陆帅 林赉贶[3] 刘沛 GUO Shuqiang;LU Shuai;LIN Laikuang;LIU Pei(CCCC Rail Transportation Division,Beijing 102200,China;CCCC Tianhe Machinery Manufacturing Co.,Ltd.,Changshu 215500,Jiangsu,China;School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China)
机构地区:[1]中国交建轨道交通事业部,北京102200 [2]中交天和机械设备制造有限公司,江苏常熟215500 [3]中南大学机电工程学院,长沙410083
出 处:《路基工程》2024年第5期169-177,共9页Subgrade Engineering
基 金:国家高技术研究发展计划(863计划)项目(2012AA041803);湖南省科技重大专项(2014FJ1002);国家电网公司科技项目资助(JSJS1600326)。
摘 要: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。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-Ⅱalgorithm in the distribution of initial population and the speed of searching for optimization,NSGA-Ⅱalgorithm is improved by using orthogonal test method.The multiobjective 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.
关 键 词: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
分 类 号:U455[建筑科学—桥梁与隧道工程]
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