性别：女

学位：博士

职称：副教授，硕导

系部：道桥地下系

邮箱：lidan@hfut.edu.cn

主页：/

方向：结构健康监测与智能运维、声发射与超声无损检测、信号处理与机器学习

招生：每年招收硕士研究生2-3名，欢迎对相关研究方向感兴趣的同学加入团队！

个人简介

主要从事土木工程结构健康监测与智能运维、声发射与超声无损检测、信号处理与机器学习、结构动力分析与模态参数识别、光纤与压电传感器等方向的研究。主持及参与国家自然科学基金项目4项、省部级项目2项、新加坡教育部基金项目1项，发表学术专著1部、论文20余篇，授权国家发明专利1项。担任Structural Health Monitoring、Smart Materials and Structures、Measurement、Applied Acoustics等学术期刊的通讯审稿人。 

教育背景

2005/09–2009/06，中南大学，土木工程，学士

2009/09–2012/05，中南大学，土木工程，硕士

2012/08–2017/01，新加坡国立大学，土木工程，博士

工作经历

科研项目

[1] 国家自然科学基金青年基金项目，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，2018/01–2020/12，主持

[2] 中央高校基本科研业务费专项资金资助（学术新人提升计划B项目），基于声发射信号压缩感知与深度学习的钢轨损伤监测方法研究，2019–2020，主持

[3] 中国博士后科学基金面上项目，基于声发射信号特征提取与分类的钢轨裂纹监测方法研究，2018–2019，主持

[4] 国家自然科学基金面上项目，超高层建筑非平稳风效应的现场实测、阵风风洞试验及理论分析的综合研究，2020/01–2023/12，参与

[5] 国家自然科学基金面上项目，基于响应传递比的桥梁结构应变模态参数识别方法研究，2018/01-2021/12，参与

获得奖励

[1] 合肥工业大学本科生毕业设计（论文）优秀指导教师，2019

[2] 合肥工业大学课程思政说课比赛三等奖，2019

代表成果

[1] D. Li (2018). Rail crack monitoring using acoustic emission technique. Springer, ISBN: 978-981-10-8347-1.

[2] 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 - An International Journal, 20(4): 1563-1582.

[3] 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.

[4] D. Yang, D. Li*, K.S.C. Kuang (2020). A novel fatigue crack monitoring method based on nonlinear dynamic characteristics of strain. International Journal of Structural Stability and Dynamics, 20(1): 2050016.

[5] Z.C. Wang*, B. Ge, W.X. Ren, J.J. Hou, D. Li, W.Y. He, T. Chen (2020). Discrete analytical mode decomposition with automatic bisecting frequency selection for structural dynamic response analysis and modal identification. Journal of Sound and Vibration, 484: 115520.

[6] Z.C. Wang*, Y.J. Ding, W.X. Ren, X. Wang, D. Li, X.F. Li (2020). Structural dynamic nonlinear model and parameter identification based on the stiffness and damping marginal curves. Structural Control and Health Monitoring, 27(6): 2540.

[7] X.T. Sun, D. Li*, W.Y. He, Z.C. Wang, W.X. Ren (2019). Grouting quality evaluation in post-tensioning tendon ducts using wavelet packet transform and Bayes classifier. Sensors, 19(24): 5372.

[8] 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 - An International Journal, 17(6): 1410-1424.

[9] D. Li, K.S.C. Kuang*, C.G. Koh (2017). Fatigue crack sizing in rail steel using crack closure-induced acoustic emission waves. Measurement Science and Technology, 28(6): 065601.

[10] D. Yang, D. Li, K.S.C. Kuang* (2017). Fatigue crack monitoring in train track steel structures using plastic optical fiber sensor. Measurement Science and Technology, 28(10): 105103.

[11] K.S.C. Kuang, D. Li*, C.G. Koh (2016). Acoustic emission source location and noise cancellation for crack detection in rail head. Smart Structures and Systems, 18(5): 1063-1085.

[12] D. Li, W.X. Ren*, Y.D. Hu, D. Yang (2016). Operational modal analysis of structures by stochastic subspace identification with a delay index. Structural Engineering and Mechanics, 59 (1): 187-207.

[13] D. Yang, W.X. Ren*, Y.D. Hu, D. Li (2015). Selection of optimal threshold to construct recurrence plot for structural operational vibration measurements. Journal of Sound and Vibration, 349: 361-374.

[14] 李丹，李鹏辉，王艳巧，盛玉兴，许威 (2020). 一种滑坡多级监测预警装置及其应用方法. 国家发明专利. 202010596694.5.