[1]刘富勤,刘 颖,孔凡辉. 基于BP神经网络的盾尾油脂消耗预测模型[J].湖北工业大学学报,2022,(5):84-88+109.
　LIU Fuqin,LIU Ying,KONG Fanhui. Forecast Model of Shield Tail Grease Consumption Based on BP Neural Network[J].,2022,(5):84-88+109.
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 基于BP神经网络的盾尾油脂消耗预测模型()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2022年第5期
页码:
84-88+109
栏目:
湖北工业大学学报
出版日期:
2022-10-25

文章信息/Info

Title:
 Forecast Model of Shield Tail Grease Consumption Based on BP Neural Network
文章编号:
1003-4684(2022)05-0084-05
作者:
 刘富勤1;  刘 颖1;  孔凡辉2
 1 湖北工业大学土木建筑与环境学院， 湖北 武汉 430068；
 2 中铁十四局集团大盾构工程有限公司， 山东 济南 250000
Author(s):
 LIU Fuqin1; LIU Ying1; KONG Fanhui2
 1 School of Civil Engin., Architecture and Environment, Hubei Univ., of Tech., Wuhan 430068,China;
 2 China Railway 14th Bureau Group Shield Engineering Co., Ltd., Jinan, Shandong 250000,China
关键词:
 ; 泥水盾构;  盾尾油脂;  掘进参数;  BP神经网络;  预测模型
Keywords:
 ; slurry shield;  sealing grease;  tunneling parameters;  BP neural network;  prediction model
分类号:
U455.3
文献标志码:
A
摘要:
 盾尾油脂是盾构掘进机必需的密封材料，其消耗量受到地质条件、施工掘进参数和泥水参数的影响。以武汉市某地铁越江隧道工程为例，考虑盾构地质参数、施工掘进参数以及泥水参数的影响，建立了基于BP神经网络的盾尾油脂消耗量预测模型，并对该工程盾尾油脂消耗量进行预测。研究结果表明：BP神经网络预测模型对盾尾油脂消耗量预测拟合优度为0.938，能较准确预测盾尾油脂消耗量。由此可知，该模型可有效的预测类似条件下泥水盾构盾尾油脂消耗量，对于大直径泥水盾构相关参数研究和材料的消耗提供了新思路。
Abstract:
 Shield tail grease is a necessary sealing material for shield tunneling machine. Its consumption is affected by geological conditions, construction tunneling parameters and slurry parameters. Taking a subway cross river tunnel project in Wuhan as an example, considering the influence of shield geological parameters, construction excavation parameters, and slurry parameters, a prediction model of grease consumption in the shield tail based on BP neural network was established to predict the grease consumption of the shield tail of the project. The results of the study show that the BP neural network prediction model has a goodness of fit for predicting the grease consumption of the shield tail being 0.938, which can accurately predict the grease consumption of the shield tail. It can be seen that the model can effectively predict the grease consumption of the slurry shield tail under similar conditions, and it provides a new idea for the study of related parameters and material consumption of large-diameter slurry shields.

参考文献/References:

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备注/Memo

备注/Memo:
［收稿日期］ 2021-07-21
［基金项目］ 中铁十四局武汉地铁8号线越江隧道科技创新项目（4201/00282）
［第一作者］ 刘富勤（1971-），女，河南信阳人，湖北工业大学副教授，研究方向为工程造价与成本控制
［通信作者］ 孔凡辉（1982-），男，山东菏泽人，中铁十四局集团大盾构工程有限公司工程师，研究方向为盾构施工技术
更新日期/Last Update: 2022-10-26