刘增华

基本信息

1973年10月生,江西湖口人,现为北京工业大学信息科学技术学院教授,博士生导师。2006年3月获北京工业大学机械设计及理论专业博士学位。2006年底赴香港城市大学从事短期合作研究。2010年获国家留学基金委全额资助赴英国University College London做访问学者一年。入选2024年度全球前2%顶尖科学家和2024中国知网高被引学者TOP1%。2008年同时入选北京市科技新星和北京市组织部优秀人才培养计划,2011年9月破格获聘见习教授岗,2012年入选北京市青年拔尖人才培育计划。2013年入选校京华人才和校青年导师国际化能力发展计划,2014年7月晋升教授,2021年获北京工业大学研究生课程教学名师。

现为国际权威期刊《Ultrasonics》和《Nondestructive Testing and Evaluation》编委;Sensors专刊主编;中国无损检测学会会刊《无损检测》副主编,《北京工业大学学报(自然科学版)》和《测控技术》编委;中国无损检测学会超声检测专业大会主席、智能检测与评估大会副主席;全国设备结构健康监测标准化工作组委员兼副秘书长;中国仪器仪表学会设备结构健康监测与预警分会副主任委员;济南市新材料无损检测重点实验室学术委员会主任委员;北京机械工程学会无损检测分会副主任委员;中国力学学会实验力学专业委员会力学测试数据分析与表征专业组组员;国家自然科学基金和北京市、黑龙江省等十省市自然科学基金的同行评议专家;中国工程教育仪器类专业认证专家;科技部国家重大科学仪器设备开发专项项目会评专家;国家重点研发计划项目会评专家;科技部创新人才项目会评专家;国家发改委两业融合发展项目会评专家;国家留学基金评审专家;NDT&E International、IEEE Sensors Journal、Ultrasonics、Smart Materials and Structures、Materials Evaluation、Wave Motion、机械工程学报、工程力学、实验力学、振动与冲击、无损检测等30多个国内外学术期刊审稿人。

刘增华教授长期从事无损检测技术与仪器、新型传感器原理及研制、结构健康监测等方面的研究,取得了一系列的研究成果,一些研究成果已通过与企业合作的形式应用于工程实际。作为项目负责人主持国家和省部级科研项目10余项。获浙江省科学技术奖二等奖等省部级科研奖项3项;出版专著2部、编译著2部,在国内外学术会议及期刊上发表学术论文240余篇,他引4600余次;H指数为42;获批国家发明专利40余项,软件著作权10余项。

科研项目

(1)高温承压部件典型材质劣化磁声多参数检测技术装备研发.国家重点研发计划项目课题.

(2)再制造重型装备质量评价体系与工程示范.国家重点研发计划项目课题.

(3)典型机电类特种设备多参数监检测技术研究.国家重点研发计划项目任务.

(4)海洋装备关重件金属涂层损伤电磁声多参量定量评估方法研究.国家自然科学基金项目.

(5)基于太赫兹时域光谱技术的热障涂层性能退化评价方法研究.北京市自然科学基金项目.

(6)铁磁性材料热老化磁声复合检测技术研究及仪器研制.国家自然科学基金项目.

(7)大型金属板状结构的激光Lamb波相控阵列检测技术研究.国家自然科学基金项目.

(8)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.国家自然科学基金项目.

(9)基于时间反转法的风力机叶片超声导波扫描成像检测技术研究.国家自然科学基金项目.

(10)基于时间反转法的厚壁管道周向导波检测技术研究.北京市教委项目.

获奖情况

(1)防撞护栏钢立柱埋植深度无损检测技术研究与设备研制.浙江省科学技术奖.2013.

(2)管道腐蚀阵列超声导波无损检测关键技术及仪器研发.中国职业安全健康协会科学技术奖一等奖.2019.

(3)基于纵向导波的岩层锚固锚杆支护结构健康检测及应用.中国有色金属工业科学技术奖三等奖.2018.

代表性研究成果

专、编译著

[1]刘增华,何存富.超声导波成像理论及应用.科学出版社.2024.

[2]刘增华,赵欣,何存富.超声导波电磁声传感器的设计与应用.科学出版社.2022.

[3] Zenghua Liu. Smart Sensors for Structural Health Monitoring and Nondestructive Evaluation. MDPI. 2024. doi.org/10.3390/books978-3-7258-0226-5

[4]吴斌,何存富,焦敬品,刘增华译.James F. Doyle著.结构中波的传播.科学出版社.2013.

代表性学术论文

[01] Long Chen, Zenghua Liu, Zongjian Zhang, Yanping Zhu, Xiaoyu Liu, Jingdong Hu, Cunfu He.Real-timeimaging and geometric characterization of laser ultrasound based on array scanning optimization and delay-multiply-and-sumbeamforming method.Mechanical Systems and Signal Processing.2025,224:112206(16pp).

[02] Zenghua Liu, Xiaoyu Liu, Yanping Zhu, Zhaojing Lu, Long Chen, Bin Wu, Cunfu He. Multi-time Lamb waves space wavenumber imaging method based on ultrasonic guided wavefield. Structural Health Monitoring. DOI: 10.1177/14759217241261091

[03] Yu Gong, Yiming Yan, Zenghua Liu, Yufeng Wu, Xiubing Liang.Remanufacturing benefit comprehensive evaluation for an automotive alternator based on the fuzzy analytic hierarchy process. International Journal of Environmental Science and Technology.2024,21:4547-4564.

[04] Zenghua Liu, Long Chen, Yanping Zhu, Xiaoyu Liu, Zhaojing Lu, Cunfu He.Laser ultrasonic frequency-domain phase weighted imaging based on full matrix capture. Ultrasonics. 2024,141:107321(11pp).

[05] Zenghua Liu, WasilRiaz,Yongna Shen, Xiaoran Wang, Cunfu He, Gongtian Shen. Magnetoacoustic emission technique: A review of methodology, applications, and future prospects in non-destructive testing. NDT&E International. 2024,146:103171(18pp).

[06]刘增华,王美灵,朱艳萍,鲁朝静,何存富.改进型密集阵列全聚焦成像算法的碳纤维复合材料板损伤定位研究.仪器仪表学报.2024,45(6):120-132.

[07] Zenghua Liu, Sha Wu, Wen Liu, Yufeng Wu, Xiubing Liang. Optimization of multiple responses in the laser cladding process parameters. Materials and Manufacturing Processes. 2024,39(15):2139-2153.

[08]刘增华,郑坤松,朱艳萍,郭彦弘,何存富.基于海尔贝克式排布的电磁铁EMAT研制.仪器仪表学报.2024,45(8):286-296.

[09] Peiying Zhang, Zenghua Liu, Yanhong Guo, Xiaosai Wang, Yu Gong. Development of a dual main excitation modes electromagnet EMAT for ferromagnetic material testing.Nondestructive Testing and Evaluation. 2024,39(7):1925-1945.

[10] Zenghua Liu, Long Chen, Yanping Zhu, Xiaoyu Liu, Cunfu He. Multi-mode high resolution TFM imaging of microdefects based on laser ultrasonic full matrix capture. Optics and Laser Technology. 2025,181:111913(13pp).

[11] Zenghua Liu, Yanhong Guo, Xin Zhao, Jinjie Cheng, Kunsong Zheng,Cunfu He. Development of wideband pulse compression surface wave EMAT.IEEE Sensors Journal. 2024,24(4):5073-5085.

[12] Yanhong Guo, Zenghua Liu, Xin Zhao, Cunfu He, Bin Wu. Magneto-acousticcompound detection and evaluation of thermal aging brittleness of heat-resistant steel based on electromagnetic acoustic transducers. Nondestructive Testing and Evaluation. 2023,38(6):977-1005.

[13] Sha Wu, Zenghua Liu,Yu Gong, Xiubing Liang, Yufeng Wu, Xin Zhao. Analysis of the sequentially coupled thermal-mechanical and cladding geometry of a Ni60A-25%WC laser cladding composite coating. Optics and Laser Technology. 2023,167:109595(28pp).

[14] Zhaojing Lu, Zenghua Liu, Wenshuo Jiang, Bin Wu, Cunfu He.Intelligent defect location of U-shaped boom using helical guided waves. Structural Health Monitoring. 2023,22(4):2827-2855.

[15] Zenghua Liu, Lixin Sun, Yanhong Guo, Bin Wu, Cunfu He. A magnetic shielding-type PEC sensor with a canister structure and magnetic core. IEEE Sensors Journal. 2023,23(7):6697-6705.

[16] Zenghua Liu, Zhaojing Lu, Wenshuo Jiang, Yanhong Guo, Cunfu He. Damage probability imaging of a U-shaped boom based on improved permanent periodic magnet electromagnetic acoustic transducers. Nondestructive Testing and Evaluation. 2023,38(6):977-1005.

[17] Xiaofei Huang, Zenghua Liu, Yu Gong, Sha Wu, Kewei Chen, Cunfu He. Quantitative estimation of Fe-based amorphous coating thickness based on pulsed eddy current technology. Journal of Nondestructive Evaluation. 2023,42(1):1(11pp).

[18] Xin Zhao, Zenghua Liu, Yanhong Guo, Cunfu He, Bin Wu. An advanced magnetoacoustic compound inspection methodofhigh-order mode EMAT.IEEESensors Journal. 2022,22(1):229-239.

[19] Yu Gong, Xiaofei Huang, Zenghua Liu, Fei Deng, Yufeng Wu, Cunfu He. Development of acone-shaped pulsed eddy current sensor.IEEESensors Journal. 2022,22(4):3129-3136.

[20] Zenghua Liu, Runxin Man, Kexin Wang, Yuheng Wu. Nondestructive evaluation of coating defects and uniformity based on terahertz time-domain spectroscopy.Materials Evaluation. 2022,80(9):34-43.

[21] Xin Zhao, Zenghua Liu,YuGong, Zhilin Huo, Zhengyu Chen, Cunfu He, Bin Wu. Performance degradation detection of 12CrMoVsteel by magneto-acoustic compound inspection method.NDT&E International.2021, 124:102525(11pp).

[22] Sha Wu, Zenghua Liu, Xiaofei Huang, Yufeng Wu, Yu Gong. Process parameter optimization and EBSD analysis of Ni60A-25% WC laser cladding. International Journal of Refractory Metals and Hard Materials. 2021,101:105675(16pp).

[23] Honglei Chen, Zenghua Liu, Yu Gong, Bin Wu, Cunfu He. Evolutionary strategy-based intelligent location algorithm for Lamb wave defect detection with sparse array. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2021, 68(6): 2277-2293.

[24] Zenghua Liu, Zhilin Huo, Aili Li, Cunfu He, Bin Wu. Development of an omnidirectional SH0mode electromagnetic acoustic transducer employing periodic permanent magnet. IEEE Sensors Journal. 2021,21(6):7691-7701.

[25] Honglei Chen, Zenghua Liu, Bin Wu, Cunfu He. A technique based on nonlinear Hanning windowed Chirplet model and genetic algorithm for parameter estimation of Lamb wave signals. Ultrasonics. 2021,111:106333(16pp).

[26] Abdul Basit, Zenghua Liu, Mubarak Ahmad, Wu Bin, Cunfu He. A novel method for evaluation of surface breaking crack using position time graph. Instruments and Experimental Techniques. 2021,64(1):107-116.

[27]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研究.力学进展.2020,50:202009(48pp).

[28] Honglei Chen, Zenghua Liu, Bin Wu, Cunfu He. A nonlinear Hanning-windowed Chirplet model for ultrasonic guided waves signal parameter representation. Journal of Nondestructive Evaluation.2020,39(3):65(17pp).

[29] Zenghua Liu, Qiuling Peng, Xin Li, Cunfu He, Bin Wu. Acoustic emission source localization using generalized regression neural network based on time difference mapping method. Experimental Mechanics. 2020, 60(5): 679-694.

[30]刘增华,彭秋玲,何存富,吴斌.复合材料板声发射源定位的时间差映射方法.声学学报.2020,45(3):385-393.

[31]刘增华,彭秋玲,李欣,何存富,吴斌.基于时间差映射方法的钢板声发射源定位.应用基础与工程科学学报. 2020,48(2):475-485.

[32] Zenghua Liu, Xin Zhao, Ning Pei, Zhilin Huo, Zhengyu Chen, Cunfu He, Bin Wu. Numerical decoupling study of EMAT testing signal for ferromagnetic materials. IEEE Sensors Journal. 2020,20(7):3476-3486.

[33] Zenghua Liu, Aili Li, Yongchen Zhang, Liming Deng, Bin Wu, Cunfu He. Development of a directional magnetic-concentrator-type electromagnetic acoustic transducer for ultrasonic guided wave inspection. Sensors and Actuators A: Physical. 2020,303:111859(15pp).

[34] Zenghua Liu, Liming Deng, Yongchen Zhang, Aili Li, Wu Bin, Cunfu He. Development of a mode-tuning magnetic-concentrator-type electromagnetic acoustic transducer. Ultrasonics. 2020,103: 106094(15pp).

[35] Zenghua Liu, Aili Li, Bin Wu, Cunfu He. Development of a wholly flexible surface wave electromagnetic acoustic transducer for pipe inspection. International Journal of Applied Electromagnetics and Mechanics.2020,62(1):13-29.

[36] Zenghua Liu, Liming Deng, Yongchen Zhang, Aili Li, Wu Bin, Cunfu He. Development of an omni-directional magnetic concentrator type electromagnetic acoustic transducer. NDT&E International.2020,109:102193(14pp).

[37]何存富,李子明,刘增华,冯雪健,任捷,吴斌.基于空间-频率-波数法的梁中分层缺陷定量检测.机械工程学报.2019,55(6):74-82.

[38] Zenghua Liu, Xin Zhao, Jiaqi Li, Cunfu He, Wu Bin. Obliquely incident EMAT for high-order Lamb wave mode generation based on inclined static magnetic field. NDT&E International. 2019,104:124-134.

[39] Zenghua Liu, Yongchen Zhang, Aili Li, Muwen Xie, Wu Bin, Cunfu He. Development of a shear horizontal wave electromagnetic acoustic transducer with periodic grating coil. International Journal of Applied Electromagnetics and Mechanics. 2019,60(4):545-563.

[40] Ziming Li, Cunfu He, Zenghua Liu, Bin Wu. Quantitative detection of lamination defect in thin-walled metallic pipe by using circumferential Lamb waves based on wavenumber analysis method. NDT&E International. 2019,102:56-67.

代表性国家发明专利和软件著作权

[01]刘增华,陈洪磊,鲁朝静,吴斌,何存富.一种应用于大型板壳结构的智能兰姆波缺陷定位方法.国家发明专利.专利号:ZL202010192425.2.

[02]刘增华,刘泽华,李佳奇,赵欣,张永琛,何存富,吴斌.一种基于变角度磁集中器的全向型高阶Lamb波模态电磁声传感器.国家发明专利.专利号:ZL201910996477.2.

[03]刘增华,王可心,吴育衡,满润昕,何存富,吴斌.基于进化优化算法的反射式太赫兹时域光谱厚度测量方法.国家发明专利.专利号:ZL202010671319.2.

[04]刘增华,李艾丽,赵欣,何存富,吴斌.一种周期永磁铁式全向型水平剪切模态电磁声换能器.国家发明专利.专利号:ZL201910459020.8.

[05]刘增华,李艾丽,张永琛,何存富,吴斌.一种指向型磁集中器式兰姆波电磁声换能器.国家发明专利.专利号:ZL201910459551.7.

[06]刘增华,邓黎明,张永琛,何存富,吴斌.一种全向型磁集中器式兰姆波电磁声换能器.国家发明专利.专利号:ZL201910459547.0.

[07]刘增华,邓黎明,张永琛,何存富,吴斌.一种变模态磁集中器式兰姆波电磁声换能器.国家发明专利.专利号:ZL201910459550.2.

[08]刘增华,王可心,冯雪健,何存富,吴斌.基于嵌入式系统的兆赫兹阻抗测量计.国家发明专利.专利号:ZL201811112787.5.

[09]刘增华,赵欣,李佳奇,何存富,吴斌.一种基于倾斜静磁场的斜入射式电磁声传感器.国家发明专利.专利号:ZL201811232524.8.

[10]刘增华,冯雪健,陈洪磊,马春雷,何存富,吴斌.基于激光Lamb波频率-波数分析的金属板缺陷定位方法.国家发明专利.专利号:ZL201710125692.6.

[11]刘增华,张宇,高檗,何存富,吴斌.基于全波形反演法的起重机异性截面结构起重伸缩臂的检测方法.国家发明专利.专利号:ZL201810176499.X.

[12]刘增华,郑嘉裕,曹瑾瑾,何存富,吴斌.一种机电阻抗结构损伤监测的温度补偿方法.国家发明专利.专利号:ZL201810248261.3.

[13]刘增华,姚久富,刘秀成,杨杰明,刘太丽,吴斌,何存富.一种磁屏蔽型的双向激励涡流传感器.国家发明专利.专利号:ZL201710125700.7.

[14]刘增华,钟栩文,谢穆文,刘秀成,吕炎,何存富,吴斌.一种基于柔性磁铁的电磁声表面波传感器.国家发明专利.专利号:ZL201610600135.0.

[15]刘增华,罗强,王炎,秦术攀,何存富.一种用于支架结构的可拆卸套筒式力传感器.国家发明专利.专利号:ZL201610258516.5.

[16]刘增华,何存富,吴斌.钢绞线预应力的高阶纵向导波测量方法.国家发明专利.国家发明专利.专利号:ZL 200810240891.2.

[17]刘增华,何存富,吴斌,王秀彦,杨士明.一种对带粘弹性包覆层充液管道无损检测的方法.国家发明专利.专利号:ZL 200610072880.9.

[18]刘增华,吴斌,何存富,王秀彦.一种对带粘弹性包覆层充液管道导波检测的方法.国家发明专利.专利号:ZL 200610072881.3.

[19]何存富,刘增华,吴斌,樊尚春,张力新.基于超声导波技术的管道液体流量测量方法.国家发明专利.专利号:ZL200910088842.6.

[20]刘增华,于洪涛,何存富,吴斌.基于机电阻抗方法的结构健康状况监测软件V1.0.软件著作权.登记号:2011SRBJ4915.

[21]刘增华,邓黎明,王铭权,唐国耀,何存富.电磁铁式电磁声换能器检测系统上位机软件. 2021SR0652766.

[22]刘增华,鲁朝静,蒋文硕,田九洲. U型起重臂稀疏阵列超声导波信号处理与成像系统. 2021SR0475774.

[23]刘增华,王铭权,张梅菊,刘太丽,黄漫国,刘伟.先进复合材料结构快速可视化检测软件系统. 2021SR0078674.

[24]刘增华,王可心,任捷,于淼,刘伟.太赫兹时域光谱厚度测量及二维扫描控制系统. 2020SR0831146.

[25]刘增华,任捷,王可心,刘德峰,刘伟.太赫兹时域光谱快速扫描控制及数据采集软件. 2019SR1061455.

[26]刘增华,安飞跃,张蒙,高檗,邓黎明,何存富,吴斌.基于COM Express的超声波导波综合检测系统软件. 2019SR0188031.

[27]刘增华,任捷,何存富,吴斌.全激光超声自动化检测和波场数据采集软件. 2018SR980563.

[28]刘增华,刘太丽,刘秀成,杨杰明,姚久富,何存富,吴斌.高压气瓶(涡流/超声)无损检测系统. 2016SR304803.

[29]刘增华,樊军伟,何存富,吴斌.基于分布式传感器阵列的板结构超声导波成像软件系统V1.0. 2015SR070648.

[30]刘增华,董拓灿,何存富,吴斌.基于时间反转法的便携集成式超声导波检测软件V1.0. 2014SR189035.

研究生招生

欢迎具有测控、机电、控制、力学、物理、计算机、软硬件开发等专业背景的同学报考。

全日制博士研究生

(1)学术学位博士研究生

·控制科学与工程(081100):招生方向03检测技术与自动化装置(重点研究智能检测、智能信息处理、机器感知与人机交互、智能仪器仪表)

(2)工程类专业学位博士生

·机械(085500):招生方向04高端装备强度与动态分析

·电子信息(085400):招生方向04仪器仪表工程

全日制硕士研究

(1)学术学位硕士生

·仪器科学与技术(0804)(招生方向:01现代测控技术及方法,02先进传感与智能检测,03高端装备与工程结构检测评价)

(2)专业学位硕士研究生

·0854电子信息/仪器仪表工程(招生方向:01现代测控技术及方法,02先进传感与智能检测,03高端装备与工程结构检测评价)

联系方式

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E-mail:liuzenghua@bjut.edu.cn

Tel: 010-67392377

Website:https://www.researchgate.net/profile/Zenghua-Liu

学校地址:北京市朝阳区平乐园100号
邮政编码:100124

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