陈洪磊
工程与应用技术研究院
职称:博士后
电子邮件:hongleichen@fudan.edu.cn
课题组主页:
光声骨质疏松检测技术、超声无损检测、超声信号处理算法、超声成像算法、多目标分析算法

1]参与,国家自然科学基金项目“大型金属板状结构的激光Lamb波相控阵列检测技术研究”。
[2参与,国家自然科学基金项目“基于稀疏双模传感器阵列的超声导波在役风力机叶片结构健康监测技术研究”。
[3参与,国家自然科学基金项目“铁磁性材料热老化磁声复合检测技术研究及一起研制”。
[4参与,上海市教委科技创新基金项目“基于时间反转超声导波检测方法的风机叶片成像研究”。
[5参与,内燃机可靠性国家重点实验室开放课题“基于超声检测的球墨铸铁发动机缸盖智能识别技术研究”。 


[1] Honglei Chen, Zenghua Liu, Bin Wu, et al. An intelligent algorithm based on evolutionary strategy and Clustering algorithm for Lamb wave defect location. Structural Health Monitoring-An International Journal. First Published Oct. 6, 2020.
[2] Honglei Chen, Zenghua Liu, Bin Wu, et al. A nonlinear Hanning-windowed Chirplet model for ultrasonic guided waves signal parameter representation. Journal of Nondestructive Evaluation, 2020, 39(3):65(17pp)
[3] Zenghua Liu, Honglei Chen, Kunming Sun, et al. Full non-contact laser-based Lamb waves phased array inspection of aluminum plate. Journal of Visualization, 2018, 21(5): 751-761.
[4] Fei Deng, Honglei Chen. A defects localization algorithm based on the Lamb wave of plate structure. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 2021, 4(2): 021001 (13p)
[5] Zenghua Liu, Honglei Chen. Application and challenges of signal processing techniques for Lamb waves structural integrity evaluation: Part A-Lamb waves signals emitting and optimization techniques[M]//Structural Health Monitoring from Sensing to Processing. IntechOpen, 2018:61-86.
[6] Zenghua Liu, Honglei Chen. Application and challenges of signal processing techniques for Lamb waves structural integrity evaluation: Part B-Defects Imaging and Recognition Techniques[M]//Structural Health Monitoring from Sensing to Processing. IntechOpen, 2018:87-115.
[7] Honglei Chen, Zenghua Liu, Bin W, CunfuHe. Propagation characteristic analysis of laser-generated Lamb waves in aluminum plate[C]// International Conference on Structural Health Monitoring & Integrity Management. 2016.(最佳论文奖)
[8] 陈洪磊,刘增华,李子明,吴斌,何存富.有限单元法在超声导波检测技术中的应用[J].力学进展,2020,50(1):202009(48p).
[9] 陈洪磊,刘增华,何存富,吴斌.基于密集阵列的参数化Lamb波检测技术研究[J].机械工程学报.(录用)
[10] 陈洪磊,邓菲,刘增华.基于Lamb波传播路径分析的复合材料板中缺陷成像[J]. 机械工程学报,2016,52(24):72-79.
[11 邓菲,陈洪磊张僖.基于宽频激励的管型结构导波检测[J].机械工程学报, 2014, 50(18):23-28.
[12] 刘增华,冯雪健,陈洪磊,何存富,吴斌.基于波数分析的激光Lamb波缺陷检测试验研究[J]. 机械工程学报,2018,54(18):23~32.
[13] 刘增华,马春雷,陈洪磊,何存富,吴斌.密集型矩形阵列参数对激光Lamb波成像的影响分析[J]. 振动与冲击, 2020, 39(14): 87-93.
注:*为通讯作者

研究方向
个人经历
项目及成果
荣誉及奖励
代表论文