基于动力刚度法与粒子群优化算法的拉索参数识别
发布时间：2019-06-27 18:04
【摘要】：拉索一般设置有一个或多个中间支承,其振动频率与索力对应关系不甚明确,基于动力刚度法与粒子群算法,对带有多个中间支承的拉索进行参数识别。将拉索视为无限自由度体系,导出精确的单元动力刚度矩阵,通过集成及求解得到总体动力刚度矩阵和频率方程,引入Wittrick-Williams算法求解拉索振动频率;根据拉索振动频率拟合的参数识别方法,将之转化为一优化问题,采用带变异算子的粒子群优化算法进行拉索参数识别。通过有限元仿真分析对带有两个中间弹性支承的两端固结拉索进行了算法的验证,并选取一座实桥的3根两端设置高阻尼橡胶减振器的典型拉索进行了参数识别。研究表明,对具复杂边界条件拉索,基于动力刚度法与粒子群优化算法的参数识别方法能够获得较好的索力测试精度。
[Abstract]:The cable is generally provided with one or more intermediate supports, and the relationship between the vibration frequency and the cable force is not very clear, and the cable with a plurality of intermediate supports is identified based on the power stiffness method and the particle swarm algorithm. the cable is regarded as an infinite degree of freedom system, an accurate unit power stiffness matrix is derived, an overall dynamic stiffness matrix and a frequency equation are obtained through integration and solution, a Wittrick-Williams algorithm is introduced to solve the cable vibration frequency, It is transformed into an optimization problem, and the cable parameter identification is carried out by a particle swarm optimization algorithm with a mutation operator. The two end consolidation cables with two intermediate elastic supports are verified by the finite element simulation analysis, and the typical cable with high damping rubber shock absorber is selected at the three ends of a solid bridge. The research shows that the method of parameter identification based on the dynamic stiffness method and the particle swarm optimization algorithm can obtain better cable force test precision for the cable with complex boundary conditions.
【作者单位】： 湖南大学土木工程学院;
【基金】：国家自然科学基金项目(51578227)
【分类号】：U446
[Abstract]:The cable is generally provided with one or more intermediate supports, and the relationship between the vibration frequency and the cable force is not very clear, and the cable with a plurality of intermediate supports is identified based on the power stiffness method and the particle swarm algorithm. the cable is regarded as an infinite degree of freedom system, an accurate unit power stiffness matrix is derived, an overall dynamic stiffness matrix and a frequency equation are obtained through integration and solution, a Wittrick-Williams algorithm is introduced to solve the cable vibration frequency, It is transformed into an optimization problem, and the cable parameter identification is carried out by a particle swarm optimization algorithm with a mutation operator. The two end consolidation cables with two intermediate elastic supports are verified by the finite element simulation analysis, and the typical cable with high damping rubber shock absorber is selected at the three ends of a solid bridge. The research shows that the method of parameter identification based on the dynamic stiffness method and the particle swarm optimization algorithm can obtain better cable force test precision for the cable with complex boundary conditions.
【作者单位】： 湖南大学土木工程学院;
【基金】：国家自然科学基金项目(51578227)
【分类号】：U446
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