摘要
对一实验室中无粘结预应力混凝土梁进行了静动力实验研究,得到了三种不同工况下的静力测试结果以及前8阶模态测试结果。对传统的简单遗传算法进行了改进,融合了模拟退火技术的思想,建立了遗传退火算法的串行结构,提高了遗传算法的全局搜索能力。利用遗传退火混合算法,基于梁的前8阶模态值对梁的基线模型进行了识别,并识别了各损伤工况下梁刚度的动力损伤系数。利用静力荷载挠度关系对各阶段梁静力刚度损伤系数进行了研究。比较了无粘结预应力混凝土梁动静刚度之间的规律。
The static and dynamic experiments are done for an unbonded prestressed concrete beam in laboratory,three damage cases of static experiment results and the first 8 modes are obtained.Traditional genetic algorithm is improved,with the simulated annealing algorithm combined,the genetic annealing hybrid algorithm(GAHA) is formed and the global searching ability is developed.Based on the GAHA,the first eight modes are used to identify the baseline model of the beam and the dynamic damage coefficient is obtained.The static loading-deflection relation is used to identify static damage coefficient.The static and dynamic stiffness coefficient of the unbonded prestressed beam are compared.
出处
《振动与冲击》
EI
CSCD
北大核心
2008年第1期71-75,共5页
Journal of Vibration and Shock
基金
国家自然科学基金资助项目(编号:50678064)
湖南省科技厅科技计划重点项目(06FJ3003)
关键词
预应力混凝土梁
遗传退火混合算法
损伤诊断
刚度识别
prestressed concrete beam,genetic annealing hybrid algorithm(GAHA),damage diagnosIS,stiffness identification
