Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm
Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm
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DOI：
10.1016/j.compstruct.2017.12.058
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发表时间：
2018-03
影响因子：
6.3
通讯作者：
K. Samir;B. Brahim;R. Capozucca;M. Wahab
中科院分区：
文献类型：
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作者：
K. Samir;B. Brahim;R. Capozucca;M. Wahab
提出了一种基于固有的径向基正交分解法(POD-RBF)模型降阶的振动分析裂纹识别新方法。该方法被描述为碳纤维增强聚合物(CFRP)复合材料结构裂纹位置、长度和深度检测的反问题，其中使用遗传算法和布谷鸟搜索算法来最小化基于数值和实验固有频率的代价函数。结果表明，POD-RBF结合布谷鸟搜索算法是预测CFRP梁中双矩形缺口宽度、深度和位置的一种有效可行的方法。通过在频率数据输入中引入高斯白噪声来测试该技术的稳定性。结果表明，当噪声水平低于6%时，该方法是稳定的。
This paper presents a new fast approach for crack identification using vibration analysis based on model reduction using proper orthogonal decomposition method with radial basis function (POD-RBF). The method is formulated as an inverse problem for detecting the position, length and depth of crack in Carbon Fibre Reinforced Polymer (CFRP) composite structures, where Genetic and Cuckoo search algorithms are used to minimize the cost function based on numerical and experimental natural frequencies. The results show that the POD-RBF combined with Cuckoo search algorithm is an efficient and a feasible methodology of predicting the width, depth and position of double rectangular notches in CFRP beams. The stability of this technique is tested by introducing a white Gaussian noise in the frequencies data input. The results show that the proposed approach is stable when the noise level is lower than 6%.