基于動力剛度法與粒子群優(yōu)化算法的拉索參數(shù)識別
發(fā)布時間：2019-06-27 18:04
【摘要】：拉索一般設(shè)置有一個或多個中間支承,其振動頻率與索力對應(yīng)關(guān)系不甚明確,基于動力剛度法與粒子群算法,對帶有多個中間支承的拉索進行參數(shù)識別。將拉索視為無限自由度體系,導(dǎo)出精確的單元動力剛度矩陣,通過集成及求解得到總體動力剛度矩陣和頻率方程,引入Wittrick-Williams算法求解拉索振動頻率;根據(jù)拉索振動頻率擬合的參數(shù)識別方法,將之轉(zhuǎn)化為一優(yōu)化問題,采用帶變異算子的粒子群優(yōu)化算法進行拉索參數(shù)識別。通過有限元仿真分析對帶有兩個中間彈性支承的兩端固結(jié)拉索進行了算法的驗證,并選取一座實橋的3根兩端設(shè)置高阻尼橡膠減振器的典型拉索進行了參數(shù)識別。研究表明,對具復(fù)雜邊界條件拉索,基于動力剛度法與粒子群優(yōu)化算法的參數(shù)識別方法能夠獲得較好的索力測試精度。
[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.
【作者單位】： 湖南大學(xué)土木工程學(xué)院;
【基金】：國家自然科學(xué)基金項目(51578227)
【分類號】：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.
【作者單位】： 湖南大學(xué)土木工程學(xué)院;
【基金】：國家自然科學(xué)基金項目(51578227)
【分類號】：U446
【相似文獻】
相關(guān)期刊論文 前10條
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