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Generalization of the statistical moment-based damage detection method

机译：基于统计矩的损伤检测方法的推广

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Abstract. A novel structural damage detection method with a new damage index has been recently proposed by the authors based on the statistical moments of dynamic responses of shear building structures subject to white noise ground motion. The statistical moment-based damage detection (SMBDD) method is theoretically extended in this paper with general application. The generalized SMBDD method is more versatile and can identify damage locations and damage severities of many types of building structures under various external excitations. In particular, the incomplete measurements can be considered by the proposed method without mode shape expansion or model reduction. Various damage scenarios of two general forms of building structures with incomplete measurements are investigated in consideration of different excitations. The effects of measurement noise are also investigated. The damage locations and damage severities are correctly identified even when a high noise level of 15% and incomplete measurements are considered. The effectiveness and versatility of the generalized SMBDD method are demonstrated.
机译：抽象。作者最近基于受白噪声地面运动影响的剪力建筑结构动力响应的统计矩，提出了一种具有新损伤指数的新型结构损伤检测方法。本文从理论上扩展了基于统计矩的损伤检测（SMBDD）方法，并将其推广应用。通用SMBDD方法用途更广，可以在各种外部激励下识别多种类型建筑结构的损坏位置和严重程度。特别地，通过所提出的方法可以考虑不完整的测量，而无需模态形状扩展或模型缩减。考虑到不同的激励，研究了具有不完整测量的两种一般形式的建筑结构的各种损坏情况。还研究了测量噪声的影响。即使考虑了15％的高噪声水平和不完整的测量，也可以正确识别损坏的位置和严重程度。证明了广义SMBDD方法的有效性和通用性。

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