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论文摘要

基于LBM流固耦合算法的桥梁颤振稳定性分析

Numerical InvestigationforFlutterInstabilityofBridgeUsingFSIModel WithintheLatticeBoltzmannFramework

作者:刘克同(哈尔滨工业大学土木工程学院);汤爱平(哈尔滨工业大学土木工程学院);MIONKIPatrickKirema(哈尔滨工业大学土木工程学院;FacultyofEng. EgertonUniv.)

Author:Liu Ketong(SchoolofCivilEng.,HarbinInst.ofTechnol.);Tang Aiping(SchoolofCivilEng.,HarbinInst.ofTechnol.);MionkiPatrickKirema(SchoolofCivilEng.,HarbinInst.ofTechnol.;FacultyofEng. EgertonUniv.)

收稿日期:2014-01-21          年卷(期)页码:2014,46(5):73-80

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:颤振;流固耦合;格子玻尔兹曼方法;大涡模拟;颤振临界风速

Key words:flutter;fluid-structureinteraction;latticeBoltzmannmethod;largeeddysimulation;criticalflutterspeed

基金项目:国家国际科技合作资助项目(2011DFA21460);国家高技术研究发展计划(“863计划”)资助项目(2008AA11Z104)

中文摘要

为有效分析风-桥梁的相互作用和研究桥梁的颤振稳定性问题,发展了一种显式求解流固耦合问题的LBM数值模拟方法。将传统大涡模拟的亚格子涡黏性模型——动态Smagorinsky模型(dynamicSmagorinskymodel,DSM)引入多松弛时间格式的格子玻尔兹曼方法(multiplerelaxationtime-latticeBoltzmannmethod,MRT-LBM)中,构造了一种显式运算的大涡模拟方法——MRT-LBM-DSM。采用MRT-LBM-DSM作为流场求解器;将结构视为弹性支撑于流场中的刚体,其运动方程采用Runge-Kutta法求解;利用格子玻尔兹曼方法(latticeBoltzmannmethod,LBM)的移动边界技术更新流固耦合面的位置,实现了流固耦合问题的松耦合分区显式求解。基于提出的LBM流固耦合算法,编制计算程序对GreatBelt东桥的颤振稳定性进行分析。研究表明,由LBM流固耦合算法计算得到的GreatBelt东桥颤振临界风速与试验和其他数值结论吻合良好,初步说明LBM流固耦合算法可以较为准确地预测颤振现象的发生。

英文摘要

In order to simulate wind-bridge interaction and study bridge flutter instability effectively,a lattice Boltzmann analysis of fluid-structure interaction (FSI) problems was presented.The flow around a rigid fixed bridge cross-section was modeled by large eddy simulation (LES) through incorporation of dynamic sub-grid-scale (SGS) model in multiple relaxation time lattice Boltzmann method(MRT-LBM).The time discretization of the structural dynamics was performed using Runge-Kutta method. The loosely-coupled partitioned algorithm was accomplished by updating fluid-structure interfaces via moving boundary technique of lattice Boltzmann method. In the end, the Great Belt East Bridge was investigated to study its flutter instability using self-developed codes. A good agreement was found between the simulation and the existing results regarding the critical flutter speed of Great Belt East Bridge. Moreover, the study showed that the present methodology has a well prediction for the onset of flutter instability.

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