| 学术专著 代表性论文 D. Li, Q.F. Chen, H. Wang*, P. Shen, Z.B. Li, W.Y. He (2024). Deep learning-based acoustic emission data clustering for crack evaluation of welded joints in field bridges. Automation in Construction, 165: 105540. (中科院1区TOP，ESI热点论文) D. Li, J.H. Nie, H. Wang*, W.X. Ren (2024). Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data. Mechanical Systems and Signal Processing, 206: 110908. (中科院1区TOP，ESI高被引、热点论文) J.H. Nie, D. Li*, H Wang, T. Yu, K.S.C. Kuang (2025). A sensor array optimization approach towards non-pseudo-source acoustic emission damage location in orthotropic steel decks. Mechanical Systems and Signal Processing, 238: 113219. (中科院1区TOP) J.H. Nie, D. Li*, H. Wang, T. Yu, K.S.C. Kuang (2025). Acoustic emission source location in orthotropic steel decks based on topology-aided multi-objective optimization and A0 arrival time correction. Mechanical Systems and Signal Processing, 230: 112614. (中科院1区TOP) J.H. Nie, D. Li*, H. Wang*, S.L. Xiang, T. Yu, J.X. Mao (2025). Acoustic emission source location in complex structures based on artificial potential field-guided rapidly-exploring random tree* and genetic algorithm. Mechanical Systems and Signal Processing, 224: 112061. (中科院1区TOP) D. Li, J.H. Nie*, H. Wang*, T. Yu, K.S.C. Kuang (2025). Path planning and topology-aided acoustic emission damage localization in high-strength bolt connections of bridges. Engineering Structures, 332: 120103. (中科院1区TOP，ESI高被引、热点论文，期刊最佳论文) J.H. Nie, D. Li*, H. Wang*, T. Yu, K.S.C. Kuang (2025). Multi-objective optimization-based acoustic emission damage location in orthotropic steel decks considering complex wave paths. Engineering Structures, 330: 119956. (中科院1区TOP) D. Li, J.H. Nie, H. Wang*, J.B. Yan, C.X. Hu, P. Shen (2023). Damage location, quantification and characterization of steel-concrete composite beams using acoustic emission. Engineering Structures, 283: 115866. (中科院1区TOP，ESI高被引、热点论文) D. Li, J.H. Nie, W.X. Ren*, W.H. Ng, G.H. Wang, Y. Wang (2022). A novel acoustic emission source location method for crack monitoring of orthotropic steel plates. Engineering Structures, 253: 113717. (中科院1区TOP) J.H. Nie, D. Li*, H Wang*, T. Yu, K.S.C. Kuang (2025). A0-delta-T deep learning framework for reliable acoustic emission damage location in plate-like structures. Structural Health Monitoring, DOI: 10.1177/14759217251357975 D. Li, Y. Wang, W.J. Yan, W.X. Ren* (2021). Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network. Structural Health Monitoring, 20(4): 1563-1582. (期刊近三年高被引论文) D. Li*, K.S.C. Kuang, C.G. Koh (2018). Rail crack monitoring based on Tsallis synchrosqueezed wavelet entropy of acoustic emission signals: a field study. Structural Health Monitoring, 17(6): 1410-1424. W.J. Yan*, S.Z. Cao, W.X. Ren, K.V. Yuen, D. Li*, L. Katafygiotis (2021). Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions. Mechanical Systems and Signal Processing, 156: 107615. (中科院1区TOP) D. Li, Z.L. Liang, W.X. Ren*, D. Yang, S.D. Wang, S.L. Xiang (2021). Structural damage identification under non-stationary excitations through recurrence plot and multi-label convolution neural network. Measurement, 186: 110101. L. Zhu, X.H. Zhang, D. Li*, J.H. Li, Z. Wang, R.Z. Tian (2025). An experimental and numerical study on the corrosion characteristics of weathering steel-concrete composite beams. Construction and Building Materials, 462: 139893. (中科院1区TOP) 李丹, 陈燕秋, 王浩*, 等(2024). 基于声发射的钢桥面板焊接气孔缺陷在线识别. 3522vip浦京集团官网学报(自然科学版), 54(2): 285-293. 李丹, 沈鹏, 贺文宇*, 等 (2024). 基于声发射信号时频图深度学习的桥梁钢桁架焊接节点损伤程度识别. 振动与冲击, 43(1): 107-115.
代表性报告 D. Li, Q.F. Chen, J.H. Nie, H. Wang (2025). Acoustic emission source mechanism identification and damage diagnosis based on physics-guided deep clustering. The 65th Meeting of the Acoustic Emission Working Group (AEWG-65), Chicago, IL, USA. 李丹, 李晓雪, 任伟新 (2024). 基于振动声调制响应多任务学习的高强螺栓节点预紧力诊断. 第十届全国结构抗振控制与健康监测学术会议, 福建, 厦门. D. Li, J.H. Nie, H. Wang (2023). Acoustic emission monitoring of infrastructures based on time-frequency representation and deep learning. The 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure ((SHMII-12)), Hangzhou, China D. Li, J.H. Nie, J.B. Yan, C.X. Hu, P. Shen (2022). Structural health monitoring of steel-concrete composite beams using acoustic emission. The 17th East Asia-Pacific Conference on Structural Engineering & Construction (EASEC17), Singapore. 李丹 (2020). 基于声发射信号改进经验小波分析的钢桥面板疲劳裂纹定量监测方法研究. 国家自然科学基金第三届土木工程青年论坛, 四川, 成都. D. Li, S.P. Xu, Y. Wang, W.X. Ren (2019). Acoustic emission feature extraction and classification for rail crack monitoring. The 12th International Workshop on Structural Health Monitoring (IWSHM 2019), Stanford, CA, USA. D. Li, W.X. Ren (2019). Deep learning-aided rail crack monitoring using acoustic emission. International Conference on Smart Infrastructure and Construction (ICSIC2019), Cambridge, UK. D. Li, K.S.C. Kuang, C.G. Koh (2018). Enhanced synchrosqueezed wavelet transform based acoustic emission feature quantification for rail crack monitoring. The 60th Meeting of the Acoustic Emission Working Group (AEWG-60), Charleston, CS, USA.
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