摘要
针对薄壁高墩桥施工中大悬臂状态稳定控制问题,文中依托庙路河大桥,建立Midas FEA固-力耦合模型,通过参数敏感分析,量化最不利工况下各参数对墩体稳定的交互影响。结果表明大悬臂阶段为稳定控制阶段,其稳定系数较成桥阶段降低25.74%;系梁数量与位置是主要控制因素,单系梁稳定系数(35.22)相较无系梁提升157.6%,在中部设置系梁最优;混凝土强度影响弱,截面高度超过1.8 m后,稳定增幅小于0.5%/0.1 m;基于响应面建立了稳定系数的预测模型,该模型回归效果显著,其散点全部落在置信区间内。研究构建参数交互影响分析链,为大悬臂施工提供了有效的稳定性控制策略。
To address the stability control of thin-walled tall piers during large cantilever construction,a solid-structure coupling model was established in Midas FEA based on the MiaoLuHe Bridge,and parameter sensitivity analysis was conducted to quantify the interactive effects of various parameters on pier stability under the most unfavorable conditions.The results indicate that the large cantilever stage is critical for stability control,with the stability coefficient reduced by 25.74%compared to the completed bridge stage.The number and location of tie beams are the primary controlling factors:a single tie beam increases the stability coefficient to 35.22,representing a 157.6%improvement over the case without tie beams,with the optimal placement at the mid-span.Concrete strength has a minor effect,and when the pier section height exceeds 1.8 m,the stability increase is less than 0.5%per 0.1 m.A predictive model of the stability coefficient was developed based on response surface methodology,showing excellent regression performance with all scatter points within the confidence interval.This study establishes a chain of interactive parameter analysis,providing an effective stability control strategy for large cantilever pier construction.
作者
史文龙
刘沛
邵延磊
李文杰
SHI Wenlong;LIU Pei;SHAO Yanlei;LI Wenjie(CCCC-SHEC Forth Engineering Co.,Ltd.,Henan Luoyang 471013,China;School of Civil Engineering and Architecture,Henan University of Science and Technology,Henan Luoyang 471000,China)
出处
《低温建筑技术》
2026年第1期95-99,116,共6页
Low Temperature Architecture Technology
基金
河南省科技厅产学研合作项目(2015HNCXY011)
中交二公局集团有限公司科研课题(RP2023023313)。
关键词
双肢薄壁高墩
墩体稳定性
大悬臂施工
响应面法
多因素交互
double-limb thin-walled high pier
stability analysis of high piers
large cantilever construction
response surface methodology
multi-factor interactions
