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Structural-optimization-based-on-genetic-algorithm

基于遗传算法的桥梁人致振动优化

  • 最优化调谐质量阻尼器(Tuned Mass Damper,TMD)参数设计

#结构实际总质量 222.624t
#一阶振型参与质量 182.552t
#一阶质量占比 82%
import math
#一阶模态质量
mass_moda=182.552
#结构阻尼比
damping_ratio_structure=0.02
#结构一阶频率
frequency_structure = 1.758
ω=2*math.pi*frequency_structure

def tmd(ratio):
    mass_ratio_TMD=ratio/100
    mass_total_TMD=mass_ratio_TMD*mass_moda
    δ=(1-damping_ratio_structure*(math.sqrt(mass_ratio_TMD/(1+mass_ratio_TMD))))/(1+mass_ratio_TMD)
    damping_ratio_TMD=damping_ratio_structure/(1+mass_ratio_TMD)+math.sqrt(mass_ratio_TMD/(1+mass_ratio_TMD))
    ω_TMD=δ*ω
    K_TMD=mass_total_TMD*math.pow(ω_TMD,2)
    C_TMD=2*mass_total_TMD* ω_TMD*damping_ratio_TMD
    return K_TMD,C_TMD,mass_total_TMD
---> K=109.95 N/mm, C=1.81 N/(mm/s), M=0.91 ton

结构模态信息

MODE NO FREQUENCY X-COMPONENT Y-COMPONENT Z-COMPONENT
1 1.758 0.215% 0.017% 82.005%
MODAL MASS X:0.479 Y:0.038 Z:182.552
2 2.564 99.513% 0.000% 0.172%
MODAL MASS X:221.527 Y:0.000 Z:0.382
3 3.679 0.010% 82.141% 0.024%
MODAL MASS X:0.022 Y:182.856 Z:0.054
  • 人行荷载计算

#单人移动荷载
fp=2
G=750
Alpha1=0.5
Alpha2=0.2
Alpha3=0.1
f1=1.69
f2=2.41
f3=2.99
t=np.arange(0,3.01,0.01)
Fp=G+G*(Alpha1*np.sin(2*np.pi*1*fp*t)+Alpha2*np.sin(2*np.pi*2*fp*t-np.pi/2)+Alpha3*np.sin(2*np.pi*3*fp*t-np.pi/2))
  • GA算法优化结果展示

  
(a) 迭代进化20轮
(b) 迭代进化35轮

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