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金士杰,男,副教授,博士/硕士研究生导师,大连市青年才俊。2014年毕业于中国科学院声学研究所,同年进入大连理工大学。瞄准核工程、航空航天等领域国家重大需求,围绕核电站主管道、重型运载火箭超大贮箱和大型复合材料承力构件等高性能零件开展面向材料的无损检测与评价研究,为关键零/部/构件缺陷检测及质量控制提供原理和技术支撑。
主持国家自然科学基金面上项目1项、青年基金项目1项;骨干参与国家重点研发计划项目、“973计划”项目等纵向项目10余项;主持和参与横向项目20余项;在NDT&E International、Journal of Nondestructive Evaluation、IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control、机械工程学报、航空学报等国内外高水平期刊发表学术论文80余篇,其中SCI/EI收录50余篇;授权中国/美国发明专利近30项,软件著作权3项;2017年获辽宁省技术发明一等奖,2015年获中国核能行业协会科学技术二等奖,2020年获辽宁省教学成果三等奖;现任中国机械工程学会高级会员、无损检测学会超声分会委员、《机械工程学报》首届青年编委、《材料工程》与《航空材料学报》第二届青年编委、国家自然科学基金同行评议专家;指导的研究生获得辽宁省优秀毕业生、大连理工大学优秀硕士论文等荣誉。
作为骨干参与研发具有“国际先进、国内领先水平”的“核电主管道奥氏体不锈钢焊缝相控阵超声检测技术”,并应用于‘华龙一号’全球首堆示范工程福清5#机组及‘华龙一号’海外首堆巴基斯坦卡拉奇K2/K3机组等10座核电机组,为我国“一带一路”核电技术走出去战略做出重要贡献。
欢迎具有材料、物理、电信、数学或机械等背景,并有志于材料无损检测研究的同学加入团队!
主要研究方向:
(1)超声信号处理与成像检测
(2)基于机器学习的材料无损检测与评价
(3)材料表界面完整性智能化超声表征
(4)数字化无损检测技术及应用
近三年部分代表性成果(加*为通讯作者):
[1] Jin S J*, Di C J, Su J K, Shi S Q, Luo Z B*. Profile reconstruction of irregular planar defects by mirrored composite-mode total focusing method[J]. NDT & E International. 2024, 141: 102979. (中科院一区TOP期刊,SCI/EI收录)
[2] Jin S J*, Wang Z C, Luo Z B*. TOFD detection of shallow subsurface defects in aluminum alloy thin plates by half-skip mode-converted wave[J]. Chinese Journal of Aeronautics. 2024, 37(6): 454-463. (中科院一区TOP期刊,SCI/EI收录)
[3] Jin S J*, Wang X H, Wang Z C, Luo Z B*. Defect detection of spherical heads by time-of-flight diffraction[J]. Applied Acoustics. 2024, 216: 109787. (JCR-1区,SCI/EI收录)
[4] Jin S J*, Wang Z C, Yang Y N, Luo Z B*. Corrected mode-converted wave method for detecting the defects in TOFD dead zone[J]. Journal of Nondestructive Evaluation. 2023, 42(3): 62. (JCR-2区,SCI/EI收录)
[5] Jin S J, Liu C F, Shi S Q, Lin L, Luo Z B*. Profile reconstruction and quantitative detection of planar defects with composite-mode total focusing method (CTFM)[J]. NDT&E International. 2021, 123: 102518. (中科院一区TOP期刊,SCI/EI收录)
[6] Jin S J, Sun X, Luo Z B, et al. Quantitative detection of shallow subsurface cracks in pipeline with time-of-flight diffraction technique[J]. NDT&E International. 2021, 118: 102397. (中科院一区TOP期刊,SCI/EI收录)
[7] Jin S J, Zhang B, Sun X, et al. Reduction of layered dead zone in time-of-flight diffraction (TOFD) for pipeline with spectrum analysis method[J]. Journal of Nondestructive Evaluation. 2021, 40(2): 48. (JCR-2区,SCI/EI收录)
[8] Luo Z B*, Liu Z H, Li F Z, Jin S J*. Defects imaging in corner part with surface adaptive ultrasonic testing and focusing in receiving (FIR) strategy[J]. Journal of Nondestructive Evaluation. 2024, 43: 49.(JCR-2区,SCI/EI收录)
[9] Luo Z B*, Wang H, Zhang S, Li F Z, Jin S J*. A phased array ultrasonic-based enhanced strategy of critically refracted longitudinal (LCR) wave technique[J]. NDT&E International. 2023, 133: 102765. (中科院一区TOP期刊,SCI/EI收录)
[10] Shi S Q, Jin S J*, et al. Improving ultrasonic testing by using machine learning framework based on model interpretation strategy[J]. Chinese Journal of Mechanical Engineering. 2023, 36: 127. (JCR-1区,SCI/EI收录)
[11] Sun X, Lin L, Jin S J*. Resolution enhancement in ultrasonic TOFD imaging by combining sparse deconvolution and synthetic aperture focusing technique (Sparse-SAFT)[J]. Chinese Journal of Mechanical Engineering. 2022, 35: 94. (JCR-1区,SCI/EI收录)
[12] Sun X, Lin L, Jin S J*. Improving time resolution of ultrasonic signals with sparse blind deconvolution (SBD) method[J]. Journal of Nondestructive Evaluation. 2022, 41(2): 37. (JCR-2区,SCI/EI收录)
[13] Shi S Q, Lin L, Luo Z B, Sun X, Jin S J*. Resolution enhancement of ultrasonic imaging at oblique incidence by using WTFM based on FMC-AR[J]. Measurement. 2021, 183: 109798. (JCR-1区,SCI/EI收录)
[14] Sun X, Lin L, Ma Z Y, Jin S J*. Enhancement of time resolution in ultrasonic time-of-flight diffraction technique with frequency domain sparsity-decomposability inversion (FDSDI) method[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2021, 68(10): 3204-3215. (JCR-1区,SCI/EI收录)
[15] Li X, Luo Z B, Shi S Q, Jin S J*. Sparse-TFM imaging in frequency domain based on amplitude-squared parameter[C]. 2023 International Congress on Ultrasonics. Beijing, China: 2023. (EI收录)
[16] Yang Y N, Tian X, Luo Z B, Jin S J*. Ultrasonic testing of fatigue cracks in aluminum alloy based on orthogonal matching pursuit and particle swarm optimization[C]. Far East NDT New Technology & Application Forum 2023. Tianjin, China: 2023. (EI收录)
[17] 金士杰, 张波, 等. 基于TOFD周向扫查图像特征的管道缺陷超声检测[J]. 机械工程学报. 2023, 59(4): 18-24. (EI收录)
[18] 金士杰, 王志诚, 等. 基于半跨模式波的铝合金板底面缺陷TOFD检测[J]. 航空学报. 2023, 44(4): 426674. (EI收录)
[19] 金士杰*, 田鑫, 等. 铝合金搅拌摩擦焊超声检测研究进展[J]. 材料工程. 2022, 50(8): 45-59. (EI收录)
[20] 金士杰, 刘晨飞, 等. 基于全模式全聚焦方法的裂纹超声成像定量检测[J]. 仪器仪表学报. 2021, 42(1): 183-190. (EI收录)
Educational Experience
Work Experience
Research Focus
微细缺陷亚波长级分辨力超声成像精准辨识
粗晶弹性各向异性材料超声可视化检测及应用
几何与材料耦合约束下的材料/缺陷特征反演