杨红娟

个人信息Personal Information

助理研究员

性别:女

毕业院校:中国科学院大学

学位:博士

所在单位:力学与航空航天学院

学科:声学

电子邮箱:yanghongjuan@dlut.edu.cn

其他联系方式Other Contact Information

电子邮箱 : yanghongjuan@dlut.edu.cn

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个人简介Personal Profile

杨红娟,理学博士,博士毕业于中国科学院大学。研究涵盖超声无损检测、结构健康监测、超声传播与成像、复杂结构的损伤定位、分层介质的参数反演和复合材料损伤成像等方向。近年来在超声检测和复合材料领域有影响力的期刊Composite Structures, Ultrasonics, Measurement和Chinese Physics Letters等发表论文十余篇,授权发明专利4项。

已发表的论文:

[1]     Yang HongjuanYang Lei, Yang Zhengyan, et al., Ultrasonic detection methods for mechanical characterization and damage diagnosis of advanced composite materials: A review, Composite Structures, 2023: 117554. (SCI, JCR:Q1, 中科院1, IF:6.3)

[2]     Yang Hongjuan, Li Jian, Wu Zhanjun, et al., Parameter inversion and target localization in layered media containing solids based on acoustic ray tracing method[J]. Measurement, 2023, 213: 112719. (SCI, JCR:Q1, IF:5.131)

[3]     Yang Hongjuan, Li Jian, Wu Delin, et al. Imaging a defect in layered media with different shaped interfaces using reverse time migration without velocity model known a priori[J]. Ultrasonics, 2022, 124: 106750. (SCI, JCR:Q1, IF:4.062, 引用:5)

[4]     Yang Hongjuan, Li Jian, Wang Chenghao, et al. Detection and Location of a Target in Layered Media by Snapshot Time Reversal and Reverse Time Migration Mixed Method[J]. Chinese Physics Letters, 2019, 36(11), 114301. (SCI, JCR:Q3, IF:1.483, 引用:5)

[5]     Li Jian, Yang Hongjuan, et al. Detection and Location of a Target in Layered Media without Prior Knowledge of Medium Parameters[J]. Chinese Physics Letters, 2020, 37(6):064301. (SCI, 共同第一作者, JCR:Q3, IF:1.483, 引用:2)

[6]     Li Jian, Yang Hongjuan, Wu Ddelin, et al. Ultrasonic imaging of different shaped cracks in an isotropic plate by synthesizing time reversal and reverse time migration methods[J]. Measurement, 2023, 219: 113308. (SCI, 通讯作者,JCR:Q1, IF:5.131)

[7]     Yang Zhengyan, Yang Hongjuan, Tian Tong, et al. A review in guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques[J]. Ultrasonics, 2023: 107014. (SCI, JCR:Q1, IF:4.062, 引用:8)

[8]     杨红娟,杨正岩,杨雷,单一男,林奎旭,武湛君碳纤维复合材料损伤的超声检测与成像方法研究进展[J]. 复合材料学报,202340(08):4295-4317. (EI, 引用:1)

[9]     杨红娟李鉴,马军,高翔,李俊红,王文,汪承灏快照的时间反转和逆时偏移法对含有固体分层介质中目标的超声检测[J]. 声学学报, 2022, 47(1): 95-104. (EI, 引用:1)

[10] Yang Hongjuan, Xiang Gao, Jun Ma, et al. The principle of detection and location of a target in solid-liquid layered media by using the TR-RTM mixed method[C]. 2019 Symposium on Piezoelectricity, Acoustic Waves and Device Applications, Jan.11-Jan.13, Harbin, China, 2019. (EI)

[11] Yang Hongjuan, Xiang Gao, Jun Ma, et al. The principle of detection and location of a target in layered media containing solids by snapshot TR-RTM mixed method[C]. 2019 Symposium on Piezoelectricity, Acoustic Waves and Device Applications, Nov.1-Nov.4, Shijiazhuang, China, 2019. (EI)

[12] 杨红娟高翔李鉴马军汪承灏快照的时间反转和逆时偏移混合法用于分层介质中的目标检测和定位理论分析[C]. 中国声学学会. 2019年全国声学大会E检测超声. 2019:10.

已公开或已授权的发明专利:

[1]    杨红娟汪承灏李鉴马军李俊红王文一种没有先验知识的分层介质中的目标检测与定位方法中国, 202011640566.2 [P]. 2021-07-23.(已授权)

[2]    杨红娟汪承灏李鉴高翔马军王文一种分层介质中的目标检测与定位方法中国, 201910838550.3[P]. 2019-09-05. (已授权)

[3]    杨红娟汪承灏高翔马军一种固-/-固分层介质的目标定位方法中国, 201811630444.8[P]. 2018-12-29. (已授权)

[4]    高翔汪承灏杨红娟马军一种多层分层介质中的目标定位方法中国, 201811630442.9 [P]. 2019-01-04. (已授权)

[5]    武湛君,杨红娟,马书义,杨正岩,杨雷一种反演固-固分层介质的介质参数和目标位置的方法中国, 202211322322.9 [P]. 2022-10-27.(已公开)

[6]    武湛君杨红娟杨正岩杨宇马书义杨雷主被动一体强指向性圆周分布式传感器、传感方法以及传感系统中国, 202310048681.8 [P]. 2023-02-01. (已公开)

[7]     杨红娟武湛君古浩森单一男杨正岩杨雷. 一种碳纤维复合材料内部缺陷超声定位方法和系统中国, 202311218528.1 [P]. 2023-09-20.

[8]     杨红娟武湛君田广杨正岩杨雷马书义复合材料气瓶全自动超声 C 扫描成像系统和成像方法中国, 202311397374.7 [P]. 2023-10-26.



  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
    • 损伤成像

    • 介质参数反演

    • 信号特征提取

团队成员Research Group

结构健康监测与复合材料