• 師資力量
    教師名錄

    李丹

    2021/03/01

    性別:

    學位:博士

    職稱:副教授,碩導

    系部:道橋地下系

    郵箱:lidan@hfut.edu.cn

    主頁:/

    方向:結構健康監測與智能運維、聲發射與超聲無損檢測、信號處理與機器學習

    招生:每年招收碩士研究生2-3名,歡迎對相關研究方向感興趣的同學加入團隊!

    個人簡介

    主要從事土木工程結構健康監測與智能運維、聲發射與超聲無損檢測、信號處理與機器學習、結構動力分析與模態參數識別、光纖與壓電傳感器等方向的研究。主持及參與國家自然科學基金項目4項、省部級項目2項、新加坡教育部基金項目1項,發表學術專著1部、論文20余篇,授權國家發明專利1項。擔任Structural Health Monitoring、Smart Materials and Structures、Measurement、Applied Acoustics等學術期刊的通訊審稿人。 

    教育背景

    2005/09–2009/06,中南大學,土木工程,學士

    2009/09–2012/05,中南大學,土木工程,碩士

    2012/08–2017/01,新加坡國立大學,土木工程,博士

    工作經歷

    2017/02–2019/11,合肥工業大學,土木與水利工程學院,講師

    2019/12至  今,合肥工業大學,土木與水利工程學院,副教授

    科研項目

    [1] 國家自然科學基金青年基金項目,基于聲發射信號改進經驗小波分析的鋼橋面板疲勞裂紋定量監測方法研究,2018/01–2020/12,主持

    [2] 中央高?;究蒲袠I務費專項資金資助(學術新人提升計劃B項目),基于聲發射信號壓縮感知與深度學習的鋼軌損傷監測方法研究,2019–2020,主持

    [3] 中國博士后科學基金面上項目,基于聲發射信號特征提取與分類的鋼軌裂紋監測方法研究,2018–2019,主持

    [4] 國家自然科學基金面上項目,超高層建筑非平穩風效應的現場實測、陣風風洞試驗及理論分析的綜合研究,2020/01–2023/12,參與

    [5] 國家自然科學基金面上項目,基于響應傳遞比的橋梁結構應變模態參數識別方法研究,2018/01-2021/12,參與

    獲得獎勵

    [1] 合肥工業大學本科生畢業設計(論文)優秀指導教師,2019

    [2] 合肥工業大學課程思政說課比賽三等獎,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,李鵬輝,王艷巧,盛玉興,許威 (2020). 一種滑坡多級監測預警裝置及其應用方法. 國家發明專利. 202010596694.5.


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