基于LGWO的顶管隧道施工引起道路沉降量预测研究  

Prediction of road settlement caused by LGWO top pipe tunnel construction

作　　者：王赛 张亚辉 王云成 樊浩博 Wang Sai;Zhang Yahui;Wang Yuncheng;Fan Haobo(Hebei Human Defense Engineering Design&Research Institute Co.,Ltd.,Shijiazhuang 050000,Hebei,China;Department of Civil Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei,China;Hebei Urban&Rural Construction School,Shijiazhuang 050031,Hebei,China;China Railway Design Group Co.,Ltd.,Geographic Information Research Institute,Tianjin 300308,China)

机构地区：[1]河北人防工程设计研究院有限公司,河北石家庄050000 [2]石家庄铁道大学土木工程学院,河北石家庄050043 [3]河北城乡建设学校,河北石家庄050031 [4]中国铁路设计集团有限公司测绘地理信息研究院,天津300308

出　　处：《岩土工程技术》2025年第2期192-199,共8页Geotechnical Engineering Technique

基　　金：中国国家铁路集团有限公司科技研究开发计划课题(N2020G009)。

摘　　要：为了准确预测大断面顶管隧道下穿既有公路引起的变形沉降规律,结合实际工程,提出基于自适应灰狼优化算法的沉降量预测模型。引入Logistic映射生成初始值,将灰狼算法中的收敛因子A分解为决策因子A1与衰减因子A2,以改善收敛因子在全局与局部搜索时的能力不足问题。通过沧州九河路通道人防工程进行实例验证,并与传统的灰狼算法、粒子群算法对比预测精度,结果表明,通过Logistic映射优化后灰狼算法的预测精度更高,较优化前的灰狼算法提高了6.9%、较粒子群算法提高了2.3%,说明新模型具有较高的实用性与准确度。To accurately predict the deformation and settlement caused by a large cross-section pipe tunnel passing through the existing highway,a settlement prediction model based on the adaptive Grey Wolf optimization algorithm was proposed in conjunction with the actual project.Logistic mapping was introduced to generate the initial value,and the convergence factor A in the Grey Wolf al-gorithm is decomposed into decision factor and attenuation factor to improve the lack of ability of the convergence factor in global and local search.Through the Cangzhou Jiuhe Road Passage human security project for example verification,and with the traditional Grey Wolf algorithm,particle swarm algorithm to compare the prediction accuracy,the analysis results show that the accuracy of Grey Wolf algorithm prediction optimized by Logistic mapping is higher.The accuracy increased by 6.9%compared with the Grey Wolf al-gorithm without optimization and increased by 2.3%compared with the particle swarm algorithm.The new model has a high degree of practicality and accuracy.

关 键 词：顶管隧道 变形量预测 灰狼算法 混沌映射 地下工程 

分 类 号：U459[建筑科学—桥梁与隧道工程]