Damage detection by mode shape squares extracted from a passing vehicle
Damage detection by mode shape squares extracted from a passing vehicle
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通过从过往车辆中提取的振型平方进行损伤检测
DOI：
10.1016/j.jsv.2011.09.004
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发表时间：
2012-01
影响因子：
4.7
通讯作者：
Xiang Z.
中科院分区：
文献类型：
--
作者：
Zhang Y.;Wang L.;Xiang Z.
损伤检测的成功与否在很大程度上取决于损伤特征的质量，如模态振型和功率模态振型等。然而，在实际应用中，这些特征往往难以准确获取，也不方便。为了解决这一问题，本文开发了一种简单的方法，从经过的敲击“车辆”的加速度中近似提取结构模态振型平方，作为结构动力特性的“信息载体”。基于近似得到的振型平方，提出了一种新的损伤指标，提高了对损伤的灵敏度。数值模拟和简单实验验证了该方法的有效性。与传统方法相比，该方法不需要在结构上预先安装多个传感器，也不需要解决特征向量或奇异值问题，只使用点阻抗信息，因此在噪声环境下更容易实现，精度更高。此外，由于攻丝车对结构进行连续扫描，测点密度可以灵活调整。
The success of damage detection heavily depends on the quality of damage features, such as mode shapes and power mode shapes, etc. However, these features are usually difficult and inconvenient to be accurately obtained in practice. To solve this problem, this paper develops a simple method to approximately extract structural mode shape squares from the acceleration of a passing tapping “vehicle”, which serves as a “message carrier” of the dynamic properties of the structure. Based on the approximately obtained mode shape square, a new damage index is proposed to improve the sensitivity to damage. Numerical simulations and simple experiments demonstrate the validity of the proposed method. Compared with traditional methods, it is easier to be implemented and more accurate in noisy environment, because it requires neither pre-installing many sensors on the structure, nor solving eigenvector or singular value problems and uses only the information of point impedance. In addition, the density of measurement points can be flexibly adjusted since the tapping vehicle scans the structure continuously.
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DOI：
10.12989/imm.2009.2.2.153
发表时间：
2009-06
期刊：
Interaction and multiscale mechanics
影响因子：
--
作者：
Z. Xiang;Yao Zhang
通讯作者：
Z. Xiang;Yao Zhang
影响因子：
4.7
作者：
Alvandi, A;Cremona, C
通讯作者：
Cremona, C
DOI：
10.1098/rsta.2000.0717
发表时间：
2001-01-15
期刊：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
影响因子：
--
作者：
Farrar, CR;Doebling, SW;Nix, DA
通讯作者：
Nix, DA
影响因子：
5.5
作者：
Yang, Y. B.;Chang, K. C.
通讯作者：
Chang, K. C.
影响因子：
5.5
作者：
Lin, CW;Yang, YB
通讯作者：
Yang, YB