一、个人简介：

孙虎（sunhu@xmu.edu.cn），博士，厦门大学航空航天学院副教授，博士生导师。入选福建省高层次人才、厦门市高层次人才。2014年1月博士毕业就职于中国商飞北京民用飞机技术研究中心民机健康管理研究部，2016年4月入职厦门大学航空航天学院。

现担任中国力学学会实验力学专业委员会第一届无损检测与工程测试专业组委员，中国仪器仪表学会设备结构健康监测与预警分会委员、精密机械分会委员，中国机械工程学会无损检测分会新技术专业大会委员、应力测试大会委员，中国仪器仪表学会高级会员，中国机械工程学会高级会员，厦门市仪器仪表学会理事。

担任国家自然科学基金通讯评议专家。担任Advanced Science、Nature Communications Engineering、Structural Health Monitoring-An International Journal、Smart Materials and Structures、Journal of Vibration & Control、Measurement Science and Technology、International Journal of Mechanical Sciences、Advanced Engineering Materials、Journal of Sensors、International Journal of Distributed Sensor Networks、Computers and Concrete、声学学报、实验力学等国内外著名期刊审稿人。

曾担任2018年SPIE Smart Structures/NDE、2018年ICSHMIM、2022年ICICN、2024年全国实验力学大会等国内外学术会议分会场主席，担任第九届航空航天无损检测国际会议、第一届、第二届、第三届飞行器健康管理技术国际研讨会、2019“结构健康管理理论与技术”国际学术研讨会等重要国际会议组委会委员。

二、主持科研项目：

长期从事飞行器健康管理、结构健康监测方面的研究工作，近期主持国家自然科学基金项目（2项）、某部委民机预研项目课题（2项）、KJ预研项目（2项）、航空科学基金、福建省自然科学基金项目（2项）、厦门市首批青年创新基金等10余项项目，主持到账经费四百余万元，参与GX部、CZ部、JKW、ZF、863项目、中航产学研项目等多项健康监测与管理方面的重大课题。主持中国商飞、中国航发、中国航天科技等单位委托课题若干项。部分主持项目如下：

1. 国家自然科学基金面上项目，主持，2023.01~2026.12；

2. 国家自然科学基金青年项目，主持，2020.01~2022.12；

3. 航空航天结构力学及控制全国重点实验室开放基金，主持，2023.01~2024.12；

4. 福建省自然科学基金面上项目，主持，2022.08~2025.08；
   

5. 某部委民机预研项目课题，主持，2021.08~2022.02；

6. KJ预研分包项目，主持，2020.09~2021.12；

7. 航空科学基金，主持，2020.10~2022.09；
   

8. 厦门市首批青年创新基金，主持，2020.07~2023.06；

9. 中央高校基本科研业务费-自由探索项目，主持，2021.01~2023.12。

10. 某部委民机预研项目课题，主持，2018.10~2020.10；

11. KJ预研分包项目，主持，2019~2020；

12. 福建省自然科学基金青年项目，主持，2018.04~2021.03；

13. 中央高校基本科研业务费-青年教师启动经费项目，主持，2017.01~2017.12。

三、近期部分成果：

以一作或通讯身份在Structural Health Monitoring-An International Journal、Smart Materials and Structures、Ultrasonics、Journal of Intelligent Material Systems and Structures等结构健康监测主流期刊上发表SCI论文30余篇，其中2篇为封面文章，2篇入选ESI高被引论文，15篇为T1期刊论文。1篇会议论文入选结构健康监测著名国际会议“亚太结构健康监测国际研讨会”最佳论文（当年唯一一篇）。部分代表性论文如下：

1. Hou J, Bai S, Zhang X, Sun H*, Qing X. An intelligent CFRP bolt with embedded carbon nanotube eddy current sensors for damage self‐diagnosis of bolted composite joints. Polymer Composites, 2024, 1‐15. doi:10.1002/pc.29122.(SCI, IF: 4.8)

2. Chen G, Song W, Shao W, Sun H*, Qing X. Damage presence, localization and quantification of aircraft structure based on end-to-end deep learning framework. IEEE Transactions on Instrumentation & Measurement, 2025, Accepted.(SCI, JCR TOP期刊，IF: 5.6,仪器仪表领域T1)

3. Chen G, Sun H*. Multi-strategy improved sparrow search algorithm based on first definition of ellipse and group co-evolutionary mechanism for engineering optimization problems. Cluster Computing, 2024: 1-31.

4. Liao W, Bai S, Sun H*, Hu X, Wang Y, Qing X. A combined RF–GRNN algorithm for monitoring complex damage of bolted joints with high-level robustness. Structural Health Monitoring, 2024:14759217241270792.(SCI, IF: 5.71, 振动工程领域T1)

5. Fan L, Liu Y, Yang X*, Sun H*. A novel capacitive sensor featuring surface microstructure and hydrogels for measuring full pressure with high-sensitivity. Sensors and Actuators A: Physical, 2024. 370: 115228.(SCI, IF: 4.1,仪器仪表领域T1)

6. Weihan Shao, Hu Sun*, Yishou Wang, Xinlin Qing.Damage quantification method for aircraft structures based on multi-task CNN-LSTM and transfer learning. IEEE Sensors Journal, 2024, DOI: 10.1109/JSEN.2024.3360109..(SCI, JCR TOP期刊，IF: 4.325,仪器仪表领域T1)

7. Leijin Fan, Yuantao Liu, Xiaofeng Yang*, Hu Sun*.A Novel Resistive Sensor Network Utilizing SAP-Enhanced Ionic Layer and CNTs Doping for Multi-Point Pressure Measurement, ACS Omega, 2024,DOI: 2024,10.1021/acsomega.3c07945..

8. Weihan Shao, Hu Sun*, Qifeng Zhou, Yishou Wang, Xinlin Qing. A Novel Lamb Wave-Based Multi-Damage Dataset Construction and Quantification Algorithm Under the Framework of Multi-Task Deep Learning. Structural Health Monitoring--An International Journal, 2024, 23 (2), 1148-1169. (SCI, IF: 5.71, 振动工程领域T1)

9. Leijin Fan, Xiaofeng Yang*, Hu Sun*.A Novel Flexible Sensor for Double-Parameter Decoupling Measurement of Temperature and Pressure with High Sensitivity and Wide Range. Journal of Materials Chemistry C, 2023, 11: 10163-10177.(SCI, IF: 6.4, JCR TOP期刊, 封面文章，材料-综合领域海外T1)

10. Leijin Fan, Xiaofeng Yang*, Hu Sun*. Pressure Sensors Combining Porous Electrodes and Electrospun Nanofiber-Based Ionic Membranes. ACS Applied Nano Materials, 2023,6(5): 3560–3571. (SCI,IF:6.14,封面文章，无机非金属材料领域-低维无极非金属材料类T2)

11. Weilin Liao, Zijian Huang, Hu Sun*, et al. Numerical investigation of cylinder vortex-induced vibration with downstream plate for vibrationsuppression and energy harvesting. Energy, 2023, 281: 128264. (SCI, JCR一区TOP期刊, IF: 8.857, 能源动力领域T1)

12. Hu Sun*, Jun Hou, Wei Chen, Yishou Wang, Xinlin Qing. An Improved Probabilistic Diagnosis Imaging Algorithm for Quantifying Hole-edge Crack Growth. Measurement, 2023, 215: 112881.(SCI,IF:5.131,仪器仪表领域T1)

13. Weilin Liao, Hu Sun*, Yishou Wang, Xinlin Qing*.A novel damage index integrating piezoelectricimpedance and ultrasonic guided wave for damage monitoring of bolted joints. Structural Health Monitoring-An International Journal, 2023. DOI:10.1177/1475921723115942.(SCI, IF: 5.71, 振动工程领域T1)

14. Hu Sun*, Weihan Shao, Jiannan Song, Xiaofeng Yang, Yishou Wang, Xinlin Qing*. Corrosion Quantification of Plate-Type Structures Using Lamb Wavefield and Monogenic Signal Processing. Ultrasonics,2023, 130: 106935. (SCI, IF: 4.062, 振动工程领域T2)

15. Chenhui Huang,Weilin Liao, Hu Sun*, Yishou Wang, Xinlin Qing. A hybrid FCN-BiGRU with transfer learning for low-velocity impact identification on aircraft structure. Smart Materials and Structures. 2023, 32: 055012. (SCI, IF: 4.131, 材料-综合领域海外T1)

16. Weilin Liao, Hu Sun*, Yishou Wang, Xinlin Qing. An island-bridge packaging piezoelectric sensor for structural health monitoring in high-strain environments. Journal of Intelligent Material Systems and Structures. 2023, 34(8): 891-908. (SCI, IF: 2.774, 材料-综合领域海外T2)

17. Hu Sun*, Jun Hou, Wei Chen, Xiaofeng Yang*, Yishou Wang, Xinlin Qing. A Novel Pentagonal Eddy Current Sensing Array Film for Quantifying Hole-edge Crack of Bolted Joints. IEEE Sensors Journal. 2022, 22(23): 22464-22472. (SCI, JCR TOP期刊，IF: 4.325,仪器仪表领域T1)

18. Hu Sun*, Weihan Shao, Jiannan Song, Xiaofeng Yang, Yishou Wang, Xinlin Qing*. Lamb Wavefield-Based Monogenic Signal Processing for Quantifying Delamination in Composite Laminates. Smart Materials and Structures. 2022, 31(10):105030. (SCI, IF: 4.131, 材料-综合领域海外T1)

19. Weihan Shao, Hu Sun*, Yishou Wang, Xinlin Qing. A Multi-Level Damage Classification Technique of Aircraft Plate Structures Using Lamb Wave-Based Deep Transfer Learning Network. Smart Materials and Structures. 2022,31(7):075019 (SCI, IF: 4.131, 材料-综合领域海外T1)

20. Sun Hu, Zhang Yiming, Yi Junyan, Wang Yishou. Qing Xinlin. Crack Quantification of Bolted Joints by Using a Parallelogram Eddy Current Array Sensing Film. Transactions of Nanjing University of Aeronautics and Astronautics, 2022-02: 1005-1120.(EI, 航空航天领域T3)

21. Hu Sun, Tao Wang, Qijian Liu, Yishou Wang, Xinlin Qing. A two-dimensional eddy current array-based sensing film for estimating failure modes and tracking damage growth of bolted joints. Structural Health Monitoring-An International Journal.2021, 20(3):877-893. (SCI, IF: 5.71,ESI高被引论文, 振动工程领域T1)

22. Xinlin Qing*, Wenzhuo Li, Yishou Wang, Hu Sun*. Piezoelectric Transducer Based Structural Health Monitoring for Aircraft Application. Sensors. 2019, 19(3): 545. (SCI，IF: 3.847, ESI高被引论文，核领域T3)

23. Qijian Liu #, Hu Sun #, Tao Wang, Yishou Wang, Xinlin P. Qing. Hole-edge damage monitoring of bolted composite joints with a flexible eddy current array sensing film. The 7th Asia-Pacific Workshop on Structural Health Monitoring. Hongkong, 12-15 November, 2018. (Best Paper Award)

24. Hu Sun,Junyan Yi, Tao Wang, Yishou Wang, Xinlin Qing. A new interleaving eddy current array-based sensing film for fatigue crack quantification of bolted joints. Journal of Intelligent Material Systems and Structures, 2021, 32(16):1867-1877.(SCI,IF: 2.774, 材料-综合领域海外T2)

25. Hu Sun, Tao Wang, Qijian Liu, Xinlin Qing. A novel eddy current array sensing film for quantitatively monitoring hole-edge crack growth of bolted joints. Smart Materials and Structures. 2019, 28(1): 015018. (SCI, IF: 4.325, 材料-综合领域海外T1)

26. Fan Shilei, Yi Junyan, Sun Hu*, et al. Quantifying Hole-Edge Crack of Bolt Joints by Using an Embedding Triangle Eddy Current Sensing Film. Sensors, 2021, 21(7). (SCI，IF: 3.847,编辑荐读：https://mp.weixin.qq.com/s/gQPNKLUK-w3RbRIQVz61ng)

27. Hu Sun, Tao Wang, Dawei Lin, Yishou Wang, Xinlin Qing.An Eddy Current-Based Structural Health Monitoring Technique for Tracking Bolt Cracking. 2020, Sensors 20 (23), 6843.(SCI, IF: 3.847)

28. Hu Sun, Junyan Yi, Yu Xu, Yishou Wang, Xinlin Qing. Crack Monitoring for Hot-Spot Areas under Time-Varying Load Condition Based on FCM Clustering Algorithm. IEEE Access. 2019,7: 118850-118856.(SCI, IF: 3.476)

29. Hu Sun, Junyan Yi, Yu Xu, Yishou Wang, Xinlin Qing.  Identification and Compensation Technique of Non-Uniform Temperature Field for Lamb Wave-and Multiple Sensors-Based Damage Detection. Sensors,  2019, 19(13), 2930. (SCI, IF: 3.847)

30. Qijian Liu#, Hu Sun#, Tao Wang, Xinlin Qing. On-Site Health Monitoring of Composite Bolted Joint Using Built-In Distributed Eddy Current Sensor Network. Materials 2019, 12, 2785.(SCI, IF: 3.748)

31. Hu Sun, Aijia Zhang, Qijian Liu, Yishou Wang, Xinlin Qing. Baseline-free damage imaging for metal and composite plate-type structures based on similar paths. International Journal of Distributed Sensor Networks, 2019, 15(4): 1550147719843054. （SCI, IF: 1.938, 兵器科学与技术领域T3）
    

32. Hu Sun, Yishou Wang, Xinlin Qing, Zhanjun Wu. High Strain Survivability of Piezoceramics by Optimal Bonding Adhesive Design. Sensors, 2018, 18, 2554. (SCI, IF: 3.847)
    

33. Hu Sun. Fatigue crack monitoring of bolted joints by using eddy current array sensing film. The 4th International Conference on Structural Health Monitoring and Integrity Management (ICSHMIM 2018), Oct. 21-23, 2018, Hangzhou, China. (Invited Speech)
    

四、获奖情况：

1. 福建省科技进步一等奖。

2. “C919飞机型号合格证”取证感谢信（2022年9月中国商飞公司总部颁发）。

3. 福建省高层次人才（2021）。

4. 厦门市高层次人才（2022）。
   

5. 厦门大学厦航奖教金（2020）。

6. 厦门大学航空航天学院年度考核优秀（2020）。

7. 会议论文在香港举办的第7届亚太结构健康监测大会（The 7th Asia-Pacific Workshop on Structural Health Monitoring）荣获由结构健康专业顶级期刊“Structural Health Monitoring-An International Journal”设置的最佳论文奖（Best Paper Award）。

8. 厦门大学航空航天学院教学技能比赛二等奖。
   

五、学生培养：

1. 2020级硕士生：廖卫林（发表SCI论文2篇，清华大学读博，获2022年国家奖学金），邵薇涵（发表SCI论文4篇，厦门大学读博，获2023年厦门大学余绪缨奖学金），黄晨辉（发表SCI论文1篇，毕业去向华为杭州分公司）

2. 2019级硕士生：陈威（发表SCI论文2篇，入职广州小鹏汽车），宋健南（发表SCI论文2篇，入职小米北京）

3. 2018级硕士生：伊君艳（发表SCI论文3篇，获2019年研究生国家奖学金，入职紫光展锐杭州分公司）

4. 2017级硕士生：王涛（发表SCI论文3篇，申报发明专利2项，获2019年厦门大学校级鹭燕奖学金，2019年教育部高等学校仪器类教学指导委员会颁发的“叶声华”奖学金，2019年研究生国家奖学金，入职紫光展锐南京分公司）

5. 2016级硕士生：张爱家（发表SCI论文2篇，申报发明专利1项，获2018年工商银行奖学金、2018年研究生国家奖学金，入职华为杭州分公司）