Multi-objective optimization of surface settlement safety control during shield construction based on RF-NSGA-II

doi:10.16265/j.cnki.issn1003-3033.2022.08.2702

Abstract

Abstract:

In order to effectively adjust construction parameters of shields, and to achieve safe construction, a multi-objective optimization model based on RF and NSGA-II algorithm was established, in which control analysis of construction parameters were optimized with main shield parameters as research object and ground settlement as control target. Then, nine shield parameters controlling surface settlement were selected as input indexes of RF prediction model, and nonlinear relationship between the parameters and settlement was obtained as NSGA-II fitness function. Then, cutter wear was selected as the second optimization objective, and constraint range of construction parameters was set for multi-objective optimization. Finally, with a rail transit project in karst areas as an example, verification was conducted. The results show that using RF algorithm in training and simulating measured data of the project will result in high prediction accuracy. And the proposed model based on RF-NSGA-II features significant multi-objective optimization effect of ground settlement and cutter head wear, and it can obtain control range of shield construction parameters in karst areas.

Key words: random forest (RF), nondominated sorting genetic algorithm-II (NSGA-II), shield construction parameter, surface settlement, cutter head wear, multi-objective optimization

WU Xianguo, FENG Zongbao, LIU Jun, WANG Lei, CHEN Hongyu, LI Xinyi. Multi-objective optimization of surface settlement safety control during shield construction based on RF-NSGA-II[J]. China Safety Science Journal, 2022, 32(8): 45-51.

Figures/Tables 6

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References 21

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参数类型	变量	数据(221组)
	变量	最小值	最大值
	土压力X₁/ MPa	0.05	0.18
	刀盘转速X₂/(rad·min^-1)	1.3	2.3
	总推力X₃/kN	8 000	15 000
	刀盘扭矩X₄/(kN·m)	1 208	3 050
	掘进速度X₅/ (mm·min^-1)	12.96	28.17
	注浆压力X₆/MPa	0.093	0.286
	注浆量X₇/ m³	4.4	11.8
	渣土量X₈/ m³	38	80
	泡沫剂X₉/ L	22.22	44.44
输出	地表沉降f₁/ mm	0.22	8.55

输入参数	参数范围	输入参数	参数范围
X₁/MPa	[0,0.3]	X₆/MPa	[0,0.5]
X₂/(rad·min^-1)	[0,3]	X₇/ m³	[0,20]
X₃/kN	[0,25000]	X₈/ m³	[0,150]
X₄/(kN·m)	[0,4000]	X₉/L	[0,100]

变量	优化结果			盾构施工实际数据			控制范围
变量	最小值	最大值	平均值	最小值	最大值	平均值	控制范围
X₁/MPa	0.06	0.11	0.08	0.05	0.18	0.13	0.06~0.11
X₂/(rad·min^-1)	1.3	1.3	1.3	1.3	2.3	1.6	1.3
X₃/kN	8 616	13 949	10 791	8 000	15 000	11 929	8 600~14 000
X₄/(kN·m)	1 904	3 001	2 786	1 208	3 050	2 000	1 900~3 000
X₅/(mm·min^-1)	13.6	27.8	22.1	13.0	28.2	22.7	14~28
X₆/MPa	0.13	0.28	0.18	0.09	0.29	0.21	0.1~0.3
X₇/m³	4.4	5.2	4.9	4.4	11.8	5.6	4~5
X₈/m³	39	75	50	39	80	51	39~75
X₉/L	33.4	40.0	35.5	22.2	44.4	35.2	33~40
f₁/mm	0.45	3.27	2.23	0.22	8.55	2.87	—
f₂/mm	0.13	0.13	0.13	0.13	0.23	0.17	—