首页> 外文期刊>Applied Mathematical Modelling >Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model
【24h】

Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model

机译:多尺度小波信号处理和小波有限元模型在移动荷载作用下梁结构的两相损伤检测

获取原文
获取原文并翻译 | 示例

摘要

This paper proposes a damage detection method with two phases, namely, localization and quantification, for beam structures subjected to moving load and successfully validates it via a laboratory experiment. Firstly, the discrete wavelet transform (DWT) is applied to decompose the displacement response change induced by a moving vehicle and locate potential structural damages. Then adaptive-scale wavelet finite element model (WFEM) updating is employed to estimate the damage severity in the identified damage regions in a progressive fashion. The elemental scales of WFEM are adaptively changed according to not only the moving vehicle position but also the progressively identified damage regions. Such a method can effectively minimize the number of modeling degree-of-freedoms (DOFs) and updating parameters during optimization. The feasibility and effectiveness of the proposed method is examined through a laboratory experiment with different damage scenarios. The results indicate the proposed method can achieve good consistency between structural modeling, damage scenarios, and load conditions, as well as an optimal tradeoff between damage detection accuracy and efficiency.
机译:针对移动荷载作用下的梁结构,提出了一种定位与量化两个阶段的损伤检测方法,并通过实验室实验对其进行了验证。首先,应用离散小波变换(DWT)分解由移动车辆引起的位移响应变化并确定潜在的结构损伤。然后采用自适应尺度小波有限元模型(WFEM)更新,以渐进方式估计已识别损伤区域中的损伤严重程度。 WFEM的基本尺度不仅根据行驶中的车辆位置,还根据逐渐识别的损坏区域进行自适应更改。这种方法可以有效地减少建模自由度(DOF)的数量,并在优化过程中更新参数。通过在不同破坏场景下的实验室实验,检验了该方法的可行性和有效性。结果表明,该方法可以在结构建模,损伤场景和载荷条件之间取得良好的一致性,并且可以在损伤检测精度和效率之间取得最佳折衷。

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