带中央扣的超大跨度悬索桥多尺度有限元模拟方法

王浩,李爱群,郭彤

中国公路学报 ›› 2009, Vol. 22 ›› Issue (6) : 60-66.

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中国公路学报 ›› 2009, Vol. 22 ›› Issue (6) : 60-66.
交通工程与管理

带中央扣的超大跨度悬索桥多尺度有限元模拟方法

  • 王浩1,2,李爱群1,2,郭彤1,2
作者信息 +

Multi-scale Finite Element Modeling Method on Super-long-span Suspension Bridges with Central Buckle

  • WANG Hao1,2, LI Ai-qun1,2, GUO Tong1,2
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文章历史 +

摘要

以主跨1 490 m的润扬悬索桥为研究对象,提出了面向结构健康监测及安全性评价的超大跨度悬索桥多尺度有限元模拟方法。基于ANSYS建立了该桥多尺度的三维有限元整体模型;针对不同的研究需要专门建立了重点分析构件的精细有限元模型,并基于子模型法实现了不同尺度模型之间的衔接;以钢箱梁和中央扣结构为例,开展了超大跨度悬索桥多尺度有限元模拟方法及其验证研究。结果表明:计算与现场测试结果吻合良好,多尺度有限元模拟方法是有效的,且其结果具有可靠性。研究结果为大桥进行安全性评价和实时健康监测奠定了基础。

Abstract

Runyang Suspension Bridge (RSB) with a main span of 1 490 m was taken as an example, and the multi-scale finite element (FE) modeling method on super-long-span suspension bridges oriented to structural health monitoring and safety assessment was proposed. Multi-scale three-dimensional FE models for RSB were established with ANSYS. The refined models for the key components of RSB were particularly established according to various researches, and the connection of the different scale models were realized based on the submodel method. The multi-scale FE modeling method and its validation on the steel box girder and the central buckle of super-long-span suspension bridges were studied. Results show that calculated results agree well with field test results. It proves that the FE analysis results and the multi-scale FE modeling method are effective. The results obtained in this paper provide research basis for safety assessment and health monitoring of RSB.

关键词

桥梁工程 / 超大跨度悬索桥 / 多尺度有限元模拟 / 中央扣 / 现场测试

Key words

bridge engineering / super-long-span suspension bridge / multi-scale finite element modeling / central buckle / field test

引用本文

导出引用
王浩,李爱群,郭彤. 带中央扣的超大跨度悬索桥多尺度有限元模拟方法[J]. 中国公路学报, 2009, 22(6): 60-66
WANG Hao, LI Ai-qun, GUO Tong. Multi-scale Finite Element Modeling Method on Super-long-span Suspension Bridges with Central Buckle[J]. China Journal of Highway and Transport, 2009, 22(6): 60-66
中图分类号: U448.214   

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基金

国家自然科学基金重点项目(50538020);“十一五”国家科技支撑计划项目(2006BAJ03B05);教育部高等学校博士学科点专项科研基金项目(200802861012)
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