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Damage detection using successive parameter subset selections and multiple modal residuals

机译:使用连续参数子集选择和多个模态残差进行损伤检测

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The use of modal response residuals and parameterized models forms the framework for parameter subset selection based damage detection. This research explores the novel approach in this class of methods which is characterized by the successive application of the homogeneous modal response residuals. The motivation behind this approach is to restrict the use of unknown weighting factors which are employed in cases with mixed response residuals. Particular attention is given to the parameter-effect symmetry issues and large nonlinear changes in response residuals due to increasing damage observed across multiple damage levels. A case study involving a real aluminum three-dimensional frame structure with a loose joint connection is used to demonstrate the approach and its ability to localize the damaged area.
机译:模态响应残差和参数化模型的使用形成了基于参数子集选择的损伤检测的框架。这项研究探索了这类方法中的新颖方法,其特征是连续模态响应残差的连续应用。这种方法背后的动机是限制使用未知加权因子,该因子在具有混合响应残差的情况下使用。特别要注意的是参数效应对称性问题以及由于在多个损伤级别上观察到的损伤增加而导致的响应残差中的较大非线性变化。案例研究涉及一个真正的铝制三维框架结构,该结构具有松散的接头连接,用于说明该方法及其定位受损区域的能力。

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