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Info-gap robustness of an input signal optimization algorithm for damage detection

机译：用于损伤检测的输入信号优化算法的信息间隙鲁棒性

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摘要

Info-Gap Decision Theory is adopted to assess the robustness of a technique aimed at identifying the optimal excitation signal to be used for active sensing approaches to damage detection. Here the term "active sensing" refers to procedures where a known input is applied to the structure to enhance the damage detection process. Given limited system response measurements and ever-present physical limits on the level of excitation, the ultimate goal of the mentioned technique is to improve the detectability of damage by increasing the difference between measured outputs of the undamaged and damaged systems. In particular, a two degree-of-freedom mass-spring-damper system characterized by the presence of a nonlinear stiffness is considered. Uncertainty is introduced to the system in the form of deviations of its parameters (mass, stiffness, damping ratio) from their nominal values. Variations in the performance of the mentioned technique are then evaluated both in terms of changes in the estimated difference between the responses of the damaged and undamaged systems and in terms of deviations of the identified optimal input signal from its nominal estimation. Finally, plots of the performances of the analyzed algorithm for different levels of uncertainty are obtained, enabling a clear evaluation of the risks connected with designing excitation signals for damage detection, when the parameters that dictate system behavior (e.g. stiffness, mass) are poorly characterized or improperly modeled.
机译：采用信息间隙决策理论来评估旨在确定用于激励检测方法以进行损伤检测的最佳激励信号的技术的鲁棒性。此处，术语“主动感测”是指将已知输入应用于结构以增强损坏检测过程的过程。给定有限的系统响应测量值以及对激励水平的物理限制，上述技术的最终目标是通过增加未损坏和受损系统的测量输出之间的差异来提高损坏的可检测性。特别地，考虑了以非线性刚度为特征的两自由度质量弹簧阻尼器系统。不确定性以其参数（质量，刚度，阻尼比）与其标称值的偏差的形式引入系统。然后，根据损坏和未损坏系统的响应之间的估计差异变化以及所识别的最佳输入信号与其标称估计之间的偏差，来评估上述技术的性能变化。最后，获得了分析算法针对不同不确定性级别的性能图，当指示系统行为的参数（例如刚度，质量）表征不佳时，可以清晰评估与设计用于损坏检测的激励信号有关的风险或建模不当。

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