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作 者:王佳成 宋慧军 吴龙云 鲁光涛 王涛[2,3] WANG Jiacheng;SONG Huijun;WU Longyun;LU Guangtao;WANG Tao(Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;Precision Manufacturing Institute,Wuhan University of Science and Technology,Wuhan 430081,China;Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China)
机构地区:[1]武汉科技大学机械传动与制造工程湖北省重点实验室,武汉430081 [2]武汉科技大学精密制造研究院,武汉430081 [3]武汉科技大学冶金装备及其控制教育部重点实验室,武汉430081
出 处:《振动与冲击》2023年第16期161-165,共5页Journal of Vibration and Shock
基 金:国家自然科学基金(51808417)。
摘 要:针对薄板结构中损伤兰姆波信号提取及表征困难两大问题,提出了一种融合经验模态分解(empirical mode decomposition, EMD)与模糊熵(fuzzy entropy, FEn)的薄板结构损伤识别新方法。该方法首先基于EMD从复杂的兰姆波信号中提取并分离与结构损伤相关的信号;再利用提取出的损伤信号的归一化模糊熵作为损伤指数对结构损伤大小进行定量表征,从而实现薄板结构的损伤识别。设计的三组碳纤维增强复合材料板(carbon fiber reinforced polymer, CFRP)划痕损伤识别试验验证了该方法的可行性,试验结果表明:归一化后的模糊熵与CFRP板划痕损伤大小呈现较好的线性增加的关系,利用该线性关系可以对CFRP板划痕大小进行识别;与基于奇异谱-模糊熵的结构损伤识别方法相比,该研究所提方法识别效果更佳。A new fusion method of damage detection for thin-walled structures was proposed based on empirical mode decomposition(EMD)and fuzzy entropy(FEn).The method uses EMD to decompose the signal related with structural damages from the collected Lamb wave signals,and then selects the Fen of the extracted signal as a new damage index to characterize and detect the size of the damage.Experimental results of three specimens of carbon fiber reinforced polymer(CFRP)plates validate the proposed method,and the results also indicate that the normalized fuzzy entropy has good linear relationship with the length of the simulated scratch damage on the CFRP plate and the length of the damage can be identified based on the linear relationship.Moreover,the proposed method has a better performance than that based on singular spectrum analysis and fuzzy entropy.
关 键 词:经验模态分解(EMD) 模糊熵(FEn) 损伤识别 碳纤维增强复合材料板(CFRP)
分 类 号:TG11528[金属学及工艺—物理冶金] O343.8[金属学及工艺—金属学]
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