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Damage detection and assessment of structural systems from measured response.

机译：根据测得的响应进行结构系统的损坏检测和评估。

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摘要

A new damage detection algorithm is developed based on a system identification method. The algorithm can be used as a non-destructive diagnostic technique to aid in decisions of repair and rehabilitation of existing structures. The developed algorithm is able to detect and assess damage in a structure when the measured data are sparse and polluted with noise.;Damage is defined as the reduction in estimated parameters between two time separated inferences. Damage is localized by updating parameter groups hierarchically and assessed by perturbing measured data. Parameter groups are continuously subdivided until all the existing damaged parts in a structural system are completely localized. The measured data are perturbed to examine the sensitivity of each parameter with respect to the measured data, and to thereby provide a statistical basis for assessing damage. The bias of the mean estimate from the baseline value and this bias divided by the standard deviation of the Monte Carlo perturbation sample are calculated as damage indices. The upper limit values for both damage indices are determined from the simulation study for the undamaged baseline structure and are used to determine damage in the existing structure.;The algorithm assumes that the baseline values of the parameters of the presumably undamaged structure and the amplitude of noise in the measured data are known. The stiffness of a member cannot increase from a previous investigation of the baseline properties. In the present work, we assume that the mass matrix is known. We also assume that a suitably refined finite element model of the structure exists. The current algorithm can accept static and modal responses as the measured data in identifying the given structural system.;To examine the damage assessment algorithm, case studies are performed on a planar bowstring truss structure and a cantilever beam structure. Simulated static responses are used to identify damaged planar bowstring truss structures. Real measured modal responses from a laboratory experiment are used to identify the cracked cantilever structural system.
机译：基于系统识别方法，开发了一种新的损伤检测算法。该算法可以用作非破坏性诊断技术，以帮助您决定是否修复和修复现有结构。当测量的数据稀疏并被噪声污染时，开发的算法能够检测和评估结构中的损坏。损伤定义为两次时间分离推断之间估计参数的减少。通过分层更新参数组来定位损坏，并通过扰动测量数据进行评估。参数组会不断细分，直到结构系统中所有现有的受损零件都完全定位。扰动测量数据以检查每个参数相对于测量数据的敏感性，从而为评估损坏提供统计依据。计算基线估计值的平均值偏差和该偏差除以蒙特卡洛摄动样本的标准偏差作为损坏指数。这两个损伤指数的上限值是通过对未损坏的基线结构的模拟研究确定的，并用于确定现有结构的损伤。该算法假定假定未损坏的结构的参数的基线值和振幅测量数据中的噪声是已知的。成员的刚度不能通过先前对基线属性的研究而增加。在目前的工作中，我们假设质量矩阵是已知的。我们还假设存在适当精炼的结构有限元模型。当前算法可以接受静态和模态响应作为确定给定结构系统的测量数据。为了检查损伤评估算法，对平面弓弦桁架结构和悬臂梁结构进行了案例研究。模拟的静态响应用于识别损坏的平面弓弦桁架结构。来自实验室实验的实际测得的模态响应用于识别破裂的悬臂结构系统。

著录项

  • 作者

    Shin, Soobong.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Engineering Aerospace.;Engineering Civil.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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