基于自适应技术的结构参数与输入同步反演

发布时间：2018-03-11 17:08

本文选题：结构健康监测　切入点：参数识别　出处：《振动.测试与诊断》2017年05期 　论文类型：期刊论文

【摘要】：发展一种基于遗传优化算法的自适应追踪技术,结合输入未知条件下的二次误差平方和方法,利用事件中的加速度响应数据实现结构参数与输入的同步反演,判断并追踪结构损伤,包括损伤发生的时间、位置和程度。三自由度迟滞非线性系统数值仿真结果表明,该方法能够精确有效地追踪结构参数的变化,并同步反演结构的未知输入。此外,对三自由度基础隔振结构模型进行了多工况实验研究。结果表明,所发展方法能够实时有效地追踪结构时变物理参数、反演结构未知基底激励,进而精准地获取结构的损伤信息。
[Abstract]:In this paper, an adaptive tracking technique based on genetic optimization algorithm is developed. Combining the quadratic error squared sum method under unknown input conditions, the acceleration response data in events are used to realize synchronous inversion of structural parameters and inputs. The time, position and extent of the damage are determined and tracked. The numerical simulation results of a 3-DOF hysteretic nonlinear system show that the proposed method can accurately and effectively track the change of structural parameters. And the unknown input of the structure is inversed synchronously. In addition, the experimental study on the three-degree-of-freedom basic vibration isolation structure model is carried out. The results show that the developed method can track the time-varying physical parameters of the structure in real time and effectively. The damage information of the structure can be accurately obtained by retrieving the unknown basement excitation.
【作者单位】：中国商用飞机有限责任公司上海飞机设计研究院;南京航空航天大学机械结构力学及控制国家重点实验室;
【基金】：国家自然科学基金资助项目(51475228) 机械结构力学及控制国家重点实验室(南京航空航天大学)自主研究课题资助项目(0515G01)
【分类号】：O328

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