基于LBM流固耦合算法的桥梁颤振稳定性分析

发布时间：2018-03-11 04:33

本文选题：颤振　切入点：流固耦合　出处：《四川大学学报(工程科学版)》2014年05期 　论文类型：期刊论文

【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。
[Abstract]:In order to effectively analyze the wind-bridge interaction and study the flutter stability of the bridge, In this paper, an explicit LBM numerical simulation method for fluid-solid coupling problems is developed. The sublattice vorticity viscosity model-dynamic Smagorinsky model is introduced into multiple relaxation time-lattice Boltzmann method MRT-LBMs with multiple relaxation time schemes. A large eddy simulation method for explicit computation, MRT-LBM-DSM, is constructed. MRT-LBM-DSM is used as the flow field solver, the structure is regarded as a rigid body supported by elasticity in the flow field, and the equation of motion is solved by Runge-Kutta method. The lattice Boltzmann method is used to update the position of fluid-solid coupling surface by using the moving boundary technique of lattice Boltzmann method. The loose-coupling partition explicit solution of fluid-structure coupling problem is realized. Based on the proposed LBM fluid-structure coupling algorithm, The flutter stability of Great Belt East Bridge is analyzed by computer program. The results show that the critical flutter velocity of Great Belt East Bridge calculated by LBM fluid-solid coupling algorithm is in good agreement with the experimental and other numerical results. It is shown that LBM fluid-solid coupling algorithm can accurately predict flutter phenomenon.
【作者单位】：哈尔滨工业大学土木工程学院;Faculty
【基金】：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)
【分类号】：U441.3

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