Monitoring the Health of Structural Systems from the Geometry of Sensor Traces

从传感器迹线的几何形状监测结构系统的健康状况

基本信息

批准号：
1634277
负责人：
Dionisio Bernal
金额：
$ 19.38万
依托单位：
Northeastern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1634277&HistoricalAwards=false
关键词：
Monitoring Health Structural Systems Geometry

项目摘要

Deterioration from the passage of time and from exposure to large loading events can reduce the safety of structural systems. The effectiveness and efficiency of interventions to maintain adequate reliability depend on the available information, and the objective of structural monitoring is to provide it. Attempts to characterize deterioration by tracking resonant frequencies has had limited success due to small sensitivity of the features relative to their irreducible variability. This award supports research on an entirely different paradigm: one where monitoring is carried out not by inspection of resonant frequencies, but by examination of a geometric object built from measurements obtained in closed-loop operation. Gains, over the path so far pursued, come from the ability to "tune" the monitored object by selection of the control laws. The results from this research will open a new path for developing structural health monitoring systems. This new path, and the progress that will come from it, will benefit the US economy by reducing the cost of inspections, by advancing the practice of condition based maintenance, and, ultimately, by reducing the life cycle cost of structural systems. The research in this project sits at the intersection of several disciplines and this aspect is exploited in an educational component designed to inspire students and young researchers from various fields. The research in this award casts the monitoring problem as that of tracking the geometry of an object generated by trajectories that are traversed as the system operates autonomously under nonlinear feedback. In contrast with linear feedback, which retains the classical monitoring structure, and thus infers about changes from eigenvalues, nonlinear feedback attempts to map the reference state to the geometry of an attractor and focuses on how system changes affect the resulting manifold. Theory to guide how to specify the nonlinear control so the system has a stable attractor, with a predictable basin of attraction, is currently lacking. The simulation-guided, theoretical research that is central to this work is intended to contribute in filling this knowledge gap. The research tackles also the question of how to select the state from where the system is "launched" so the demands on the necessary actuation is minimized; minimization of the infinity norm of the actuation being important to the practicality of the investigated paradigm. Albeit the optimal sensor and actuator placement problems are not explicitly included in the scope of the project, exploratory work in both of these issues is planned.

从时间的流逝到暴露到大型加载事件的恶化可以降低结构系统的安全性。维持足够可靠性的干预措施的有效性和效率取决于可用信息，结构监测的目的是提供它。通过跟踪谐振频率来表征恶化的尝试取得了有限的成功，这是由于特征相对于其不可还原可变性的敏感性较小。该奖项支持对完全不同的范式的研究：一个不是通过检查共振频率而是通过检查在闭环操作中获得的测量构建的几何对象进行监测的。到目前为止所追求的道路上的收益来自通过选择控制法来“调整受监控对象的能力。这项研究的结果将为开发结构性健康监测系统开辟新的途径。这条新的道路以及将从中取得的进步将通过降低检查成本，通过降低基于条件的维护实践，并最终降低结构系统的生命周期成本，从而使美国经济受益。该项目的研究位于几个学科的交汇处，这一方面是在旨在激发来自各个领域的学生和年轻研究人员的教育组成部分中利用的。该奖项的研究将监视问题置于跟踪由轨迹产生的对象的几何形状，该物体在系统下自动运行，该物体在非线性反馈下自动运行。与保留经典监测结构的线性反馈相反，因此反馈了特征值的变化，非线性反馈尝试将参考状态映射到吸引子的几何形状，并关注系统变化如何影响结果歧管。目前缺乏指导如何指定非线性控制的理论，使系统具有稳定的吸引子，具有可预测的吸引力盆地。这项工作核心的模拟引入的理论研究旨在填补这一知识差距。研究解决了如何从“启动”系统中选择状态的问题，以便最大程度地减少对必要驱动的需求；驱动的无限规范最小化对所研究范式的实用性很重要。尽管在项目范围内未明确包含最佳传感器和执行器位置问题，但仍计划在这两个问题中进行探索性工作。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Eigenvalue sensitivity of sampled time systems operating in closed loop

闭环运行的采样时间系统的特征值灵敏度

DOI：
10.1016/j.ymssp.2017.11.014
发表时间：
2018
期刊：
Mechanical Systems and Signal Processing
影响因子：
8.4
作者：
Bernal, Dionisio
通讯作者：
Bernal, Dionisio

Physical and virtual implementation of closed-loop design for model updating

模型更新闭环设计的物理和虚拟实现

DOI：
发表时间：
2019
期刊：
Lecture notes in mechanical engineering
影响因子：
0
作者：
Jensen, M.S;Hansen, T.N;Ulriksen, M.D;Bernal, D.
通讯作者：
Bernal, D.

On the model order in parameter estimation using virtual compensators

虚拟补偿器参数估计中的模型阶数

DOI：
发表时间：
2019
期刊：
Lecture notes in mechanical engineering
影响因子：
0
作者：
Hansen, T.;Jensen, M.;Ulriksen, M.;Bernal, D.
通讯作者：
Bernal, D.

On gain design in virtual output feedback for model updating

模型更新虚拟输出反馈中的增益设计

DOI：
10.1007/978-981-13-8331-1
发表时间：
2019
期刊：
Proceedings of the 13th International Conference on Damage Assessment of Structures
影响因子：
0
作者：
Ulriksen, M;Bernal, D.
通讯作者：
Bernal, D.

Output feedback in the design of eigenstructures for enhanced sensitivity

特征结构设计中的输出反馈以增强灵敏度