摘要
本文提出基于新兴的群集智能算法对砌体结构剩余层间刚度进行识别,该方法仅利用环境激励下的结构响应信号,并根据识别的剩余刚度得到砌体结构的强度,从而达到对砌体结构进行安全性评估的目的。模拟结果表明该方法简单高效,易于实现,为已有砌体房屋的安全检测和质量评估提供一种新的方法与手段。
A residual stiffness identification method for masonry structure based on swarm intelligence is presented. Only the response signal under ambient excitation is needed in this method. The strength of masonry structure can be obtained according to the identified stiff- ness. Thus, the safety evaluation of masonry structure can be achieved. The simulation shows that the proposed method is easy and efficient to implement. The method can be utilized as a new approach of safety evaluation and quality assessment for masonry structures.
出处
《福建建设科技》
2009年第4期21-23,共3页
Fujian Construction Science & Technology
关键词
环境激励
砌体结构
群集智能
粒子群优化算法
剩余刚度
强度
ambient excitation
masonry structure
Swarm Intelligence (SI)
Particle Swarm Optimization (PSO)
residual stiffness
strength