Xu Wei, Cao Maosen, Ding Keqin, Radzieński Maciej, Ostachowicz Wiesław
Department of Engineering Mechanics, Hohai University, Nanjing 210098, China.
Structural Health Monitoring Department, China Special Equipment Inspection and Research Institute, Beijing 100013, China.
Materials (Basel). 2017 Jun 15;10(6):656. doi: 10.3390/ma10060656.
Carbon fiber reinforced polymer laminates are increasingly used in the aerospace and civil engineering fields. Identifying cracks in carbon fiber reinforced polymer laminated beam components is of considerable significance for ensuring the integrity and safety of the whole structures. With the development of high-resolution measurement technologies, mode-shape-based crack identification in such laminated beam components has become an active research focus. Despite its sensitivity to cracks, however, this method is susceptible to noise. To address this deficiency, this study proposes a new concept of multi-resolution modal Teager-Kaiser energy, which is the Teager-Kaiser energy of a mode shape represented in multi-resolution, for identifying cracks in carbon fiber reinforced polymer laminated beams. The efficacy of this concept is analytically demonstrated by identifying cracks in Timoshenko beams with general boundary conditions; and its applicability is validated by diagnosing cracks in a carbon fiber reinforced polymer laminated beam, whose mode shapes are precisely acquired via non-contact measurement using a scanning laser vibrometer. The analytical and experimental results show that multi-resolution modal Teager-Kaiser energy is capable of designating the presence and location of cracks in these beams under noisy environments. This proposed method holds promise for developing crack identification systems for carbon fiber reinforced polymer laminates.
碳纤维增强聚合物层压板在航空航天和土木工程领域的应用日益广泛。识别碳纤维增强聚合物层合梁构件中的裂纹对于确保整个结构的完整性和安全性具有重要意义。随着高分辨率测量技术的发展,基于模态形状的此类层合梁构件裂纹识别已成为一个活跃的研究热点。然而,尽管该方法对裂纹敏感,但易受噪声影响。为解决这一不足,本研究提出了多分辨率模态Teager-Kaiser能量的新概念,即多分辨率表示的模态形状的Teager-Kaiser能量,用于识别碳纤维增强聚合物层合梁中的裂纹。通过识别具有一般边界条件的Timoshenko梁中的裂纹,从理论上证明了这一概念的有效性;并通过诊断碳纤维增强聚合物层合梁中的裂纹验证了其适用性,该层合梁的模态形状通过使用扫描激光振镜的非接触测量精确获取。分析和实验结果表明,多分辨率模态Teager-Kaiser能量能够在噪声环境下确定这些梁中裂纹的存在和位置。该方法有望用于开发碳纤维增强聚合物层压板的裂纹识别系统。