...
首页> 外文期刊>Journal of structural engineering >Real-Time Dynamic Model Updating of a Hysteretic Structural System
【24h】

Real-Time Dynamic Model Updating of a Hysteretic Structural System

机译:滞后结构系统的实时动态模型更新

获取原文
获取原文并翻译 | 示例

摘要

Linear model updating techniques have been successfully applied in structural health monitoring (SHM) for assessing structural conditions. However, civil structures generally exhibit nonlinear hysteretic behavior under damaging loading conditions. Updating nonlinear models is necessary to represent a structure's deteriorating behaviors. Here, an approach is proposed to update a hysteretic model in real time. An experimental study is conducted to demonstrate the use of this nonlinear updating technique on a lab-sized shear building. A recently proposed modified Bouc-Wen model is used. A numerical study is performed to demonstrate the capabilities of the model updating technique in identifying the nonlinear model. The need for deionizing filters is also emphasized. The experimental study considers quasistatic cyclic tests to characterize the nonlinear behavior of the structure, and two shake table tests for demonstrating the proposed approach in the prediction of future responses. Comparison of the error indexes shows that the real-time updated model can be used to predict the response of the tested building structure during strong motion inputs. The real-time testbed developed in this study has the potential to enable rapid structural diagnosis and prognosis, and will facilitate many other engineering applications, such as rapid risk assessment and structural control design.
机译:线性模型更新技术已成功应用于结构健康监测(SHM)中,以评估结构状况。但是,土木结构通常在破坏性载荷条件下表现出非线性滞后行为。更新非线性模型对于表示结构的恶化行为是必要的。在此,提出了一种实时更新滞后模型的方法。进行了一项实验研究,以证明这种非线性更新技术在实验室规模的剪切建筑物上的使用。使用了最近提出的改进的Bouc-Wen模型。进行了数值研究,以证明模型更新技术在识别非线性模型中的功能。还强调了对去离子过滤器的需求。实验研究考虑了准静态循环测试来表征结构的非线性行为,并通过两个振动台测试来证明所提出的方法可用于预测未来的响应。误差指数的比较表明,实时更新的模型可用于预测强运动输入期间被测建筑结构的响应。本研究开发的实时测试平台具有实现快速结构诊断和预后的潜力,并将促进许多其他工程应用,例如快速风险评估和结构控制设计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号