导师风采
冯德成
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个人信息

Personal Information

  • 副教授
  • 导师类别:硕,博士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:土木工程学院
  • 所属专业: 土木工程
  • 邮箱 : dcfeng@seu.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

冯德成,男,1987年9月生,工学博士,副教授(破格)、博导。国家科协“青年科技人才托举工程”入选者、江苏省优青、东南大学“至善学者(A层次)”。担任行业权威期刊ASCEJournal of Structural Engineering副主编,美国土木工程师学会(ASCE)计算力学委员会、结构全寿命性能/安全/可靠性和风险技术委员会委员,中国地震学会基础设施防震减灾青年委员会委员等。主要从事工程结构损伤与破坏分析、安全性能的概率评估、机器学习技术辅助的结构计算方法等研究。在结构工程领域国际权威期刊ASCEJournal of Structural Engineering, Engineering Structures, Structural Safety, EarthquakeEngineering & Structural Dynamics等发表一作/通讯SCI论文43篇(JCR一区/二区38篇),2篇论文当选为ESI高被引论文,1篇论文当选为SCI期刊封面论文(coverpaper)。授权国家发明专利4项,计算机软件注册权6项。主持国家自然科学基金2项、江苏省自然科学基金2项。作为骨干成员先后参与国家“十三五”重点研发计划、国家自然科学基金重点项目等研究。先后获欧洲计算方法与应用科学学会(ECCOMAS)青年学者奖(YoungResearchers Award)、上海市科技进步一等奖(10/15)、江苏省建设科技创新成果三等奖(5/7)等。


  • 研究方向Research Directions
结构损伤与破坏精细化分析,结构多灾性能概率评估,机器学习辅助的结构工程计算方法
教育和工作背景

2019.04 - 至今      东南大学,土木工程学院,副教授(破格)

2016.06 -2018.12   东南大学,土木工程学院,讲师

 

2014.09 -2015.09 Lehigh University,联合培养(导师:Prof.James M. Ricles)

2014.09 -2015.09   University of California, LosAngeles,访问学者(导师:Prof.Ertugrul Taciroglu)

 

2010.09 -2016.03   同济大学,结构工程,工学博士(导师:李杰教授)

2006.09 -2010.06   东南大学,土木工程,工学学士


荣誉与奖励

  1. 斯坦福2020世界前2%科学家榜单(单年度),2021
  2. 杰出审稿人,Journalof Performance of Constructed Facilities-ASCE, 2021
  3. 上海市科技进步一等奖,复杂建筑结构精细分析与整体抗灾性能调控关键技术(10/15),2020
  4. 国家科协“青年科技人才托举工程”,2019
  5. 欧洲计算方法与应用科学学会(ECCOMAS)青年学者奖,2019
  6. 东南大学“至善学者(A层次)”,2019
  7. 江苏省科协“青年科技人才托举工程”,2018
  8. 领跑者5000-中国精品科技期刊顶尖学术论文,2015


学术任职

美国土木工程师学会(ASCE)会刊Journal of Structural Engineering副主编,2021-至今

美国土木工程师学会(ASCE)会刊Journal of Structural Engineering客座主编,2021

国际期刊Frontiers in Built Environment编委,2016-至今

国际期刊Current Chinese Science青年编委,2019-至今

美国土木工程师学会(ASCE)计算力学委员会委员,2019-至今

美国土木工程师学会(ASCE)结构全寿命性能/安全/可靠性和风险技术委员会委员,2019-至今

中国地震学会基础设施防震减灾青年委员会委员,2018-至今

多部知名学术期刊审稿人(Journal of Structural Engineering-ASCE, Journal of Engineering Mechanics-ASCE,Journal of Bridge Engineering-ASCE, Journal of Performance of ConstructedFacilities-ASCE, ACI Structural Journal, ACI Materials Journal, EngineeringStructures, Journal of Building Engineering, Structures, Advanced EngineeringInformatics, Engineering Failure Analysis, Construction and Building Materials,Engineering Fracture Mechanics, The Structural Design of Tall and SpecialBuildings, Structural Concrete, Engineering Computations)


科研项目

[1] 国家自然科学基金面上项目,52078119,典型干式装配混凝土结构共性工作机理及连接区优化设计方法研究,2021/01-2024/12,项目负责人

[2] 江苏省自然科学基金优秀青年基金,SBK2021030090,考虑时变效应的工程结构机理-数据双驱动损伤分析与性能评价,2021/07-2024/06,项目负责人

[3] 国家自然科学基金青年基金,51708106,装配式混凝土结构拼接区精细化分析模型与整体损伤演化研究,2018/01-2020/12,项目负责人

[4] 江苏省自然科学基金青年基金,BK20170680,装配式混凝土框架节点损伤机理及高效分析模型研究,2017/07-2020/06,项目负责人

[5] 国家自然科学基金重点项目,51838004,装配式混凝土结构“非等同现浇”抗震设计新理论研究,2019/01-2023/12,项目骨干


代表性期刊论文

方向1—复杂结构精细化灾致损伤分析:

[1] Feng, D.C., Ren, X.D., and Li, J.* Softened Damage-Plasticity Model for Analysis ofCracked Reinforced Concrete Structures. Journal of StructuralEngineering-ASCE. 2018, 144 (6): 04018044.

[2] Feng, D.C., and Wu, J.Y.* Phase-field regularized cohesive zone model (CZM) andsize effect of concrete. Engineering Fracture Mechanics. 2018, 197,66-79.

[3] Feng, D.C., and Ren, X.* Analytical examination of mesh-dependency issue foruniaxial RC elements and new fracture energy-based regularization technique. InternationalJournal of Damage Mechanics, 2021, Accepted.

[4] Sun, Z., Feng, D.C.*, Sun, Y., Yuan, J., Li, X., and Wei, Y. Bond-slip behavior of bundledsteel/FRP bars and its implementation in high-fidelity FE modeling ofreinforced concrete beams. Construction and Building Materials. 2021,286: 122887.

[5] Feng, D.C., Wu, G.*, and Lu, Y. Finite element modelling approach for precastreinforced concrete beam-to-column connections under cyclic loading. EngineeringStructures. 2018, 174: 49-66.

[6] Feng, D.C., Ren, X.D., and Li, J.* Cyclic behavior modeling of reinforced concreteshear walls based on softened damage-plasticity model. EngineeringStructures. 2018, 166: 363-375.

[7] Feng, D.C., Ren, X.D., and Li, J.* Implicit Gradient Delocalization Method forForce-based Frame Element. Journal of Structural Engineering-ASCE. 2016,142(2): 04015122.

[8] Feng, D.C., and Wu, J.Y.* An Improved Displacement-Based Timoshenko Beam Elementwith Enhanced-Strains. Journal of Structural Engineering-ASCE, 2020,146(3): 04019221. (SCI, IF:

[9] Feng, D.C.*, Wu, G., Sun, Z.Y., and Xu, J.G. A flexure-shear Timoshenko fiber beamelement based on softened damage-plasticity model. Engineering Structures.2017, 140: 483-497.

[10] Feng, D.C., and Ren, X.D.* Implicit gradient-enhanced force-based Timoshenko fiberelement formulation for reinforced concrete structures. InternationalJournal for Numerical Methods in Engineering. 2021, 122(2): 325-347.


方向2—多源不确定性下工程结构时空性能概率评估:

[1] Li, J.*, Feng, D.C., Gao, X., and Zhang, Y. Stochastic NonlinearBehavior of Reinforced Concrete Frames. I: Experimental Investigation.Journal of Structural Engineering-ASCE. 2016, 142(3): 04015162.

[2] Feng, D.C., and Li, J.* Stochastic Nonlinear Behavior of Reinforced ConcreteFrames. II: Numerical Simulation. Journal of Structural Engineering-ASCE.2016, 142(3): 04015163.

[3] Feng, D.C.*, Xie, S.C., Deng, W.N., and Ding, Z.D.* Probabilistic failure analysisof reinforced concrete beam-column sub-assemblage under column removalscenario. Engineering Failure Analysis. 2019, 100: 381-392.

[4] Feng, D.C., Yang, C.D., and Ren, X.D.* Multi-scale stochastic damage model forconcrete and its application to RC shear wall structure. EngineeringComputations. 2018, 35(6): 2287-2307.

[5] Xu, J., and Feng, D.C.* Seismic response analysis of nonlinearstructures with uncertain parameters under stochastic ground motions. SoilDynamics and Earthquake Engineering. 2018, 111: 149-159.

[6] Feng, D.C., Xie, S.C., Xu,J., and Qian, K. Robustness quantification of reinforced concrete structuressubjected to progressive collapse via the probability density evolution method.Engineering Structures. 2020, 202: 109877.

[7] Feng, D.C.*, Xie, S.C., Li, Y., and Jin, L. Time-dependent reliability-basedredundancy assessment of deteriorated RC structures against progressivecollapse considering corrosion effect. Structural Safety. 2021, 89:102061.

[8] Cao, X.Y., Wu, G., Feng, D.C.*, Wang, Z., and Cui, H.R. Researchon the seismic retrofitting performance of RC frames using SC-PBSPC BRBFsubstructures. Earthquake Engineering & Structural Dynamics. 2020,49(8): 794-816.

[9] Cao, X.Y., Feng, D.C.*, Wu, G.*, and Xu, J.G. Probabilistic Seismic Performance Assessment ofRC Frames Retrofitted with External SC-PBSPC BRBF Sub-structures. Journal ofEarthquake Engineering. 2021, 1-24.

[10] Xu, J.G., Cai, Z.K., and Feng, D.C.* Life-cycle seismicperformance assessment of aging RC bridges considering multi-failure modes ofbridge columns. Engineering Structures, 2021, 244: 112818.


方向3—基于数据驱动和机器学习的确定性&随机计算方法:

[1] Feng, D.C., Liang, Y.P., Ren, X.D.*, and Li, J. Random fieldsrepresentation over manifolds via Isometric feature mapping-based dimensionreduction. Computer-Aided Civil and Infrastructure Engineering, 2021,accepted.

[2] Liang, Y.P., Ren, X.D., and Feng, D.C.* Efficient stochasticfinite element analysis of irregular wall structures with inelastic randomfield properties over manifold space. Computational Mechanics, 2021,accepted.

[3] Feng, D.C.*, Liu, Z.T., Wang, X.D., Chen, Y., Chang, J.Q., Wei, D.F., and Jiang,Z.M.* Machine learning-based compressive strength prediction for concrete: anadaptive boosting approach. Construction and Building Materials. 2020,230: 117000.

[4] Feng, D.C.*, Liu, Z.T., Wang, X.D., Jiang, Z.M.*, and Liang, S.X. Failure modeclassification and bearing capacity estimation for reinforced concrete columnsbased on ensemble machine learning algorithm. Advanced EngineeringInformatics. 2020, 45: 101126.

[5] Feng, D.C., Wang, W.J.,Mangalathu, S., Hu, G.*, and Wu, T. Implementing ensemble learning methods topredict the shear strength of RC deep beams with/without web reinforcements. EngineeringStructures. 2021, 235: 111979.

[6] Feng, D.C., Cetiner, B., Kakavand, M.R.A., and Taciroglu, E.* Data-Driven Approachto Predict the Plastic Hinge Length of Reinforced Concrete Columns and ItsApplication. Journal of Structural Engineering-ASCE. 2021, 147(2):04020332.

[7] Feng, D.C., Shi-Zhi Chen, Cetiner, B., Kakavand, M.R.A., and Taciroglu, E.* ProbabilisticModel Based on Bayesian Model Averaging for Predicting the Plastic HingeLengths of Reinforced Concrete Columns. Journal of EngineeringMechanics-ASCE, 2021, 147(10): 04021066.

[8] Fu, B., and Feng, D.C.* A machine learning-based time-dependentshear strength model for corroded reinforced concrete beams. Journal ofBuilding Engineering. 2021, 36: 102118.

[9] Feng, D.C.*, Wang, W.J., Mangalathu, S., and Taciroglu, E. InterpretableXGBoost-SHAP Machine Learning Model for Shear Strength Prediction of Squat RCWalls. Journal of Structural Engineering-ASCE, 2021, 147(11): 04021173.

[10] Chen, S.Z., Feng, D.C.*, and Sun, Z.* Reliability-based vehicleweight limit determination for urban bridge network subjected to stochastictraffic flow considering vehicle-bridge coupling. Engineering Structures,2021, accepted.


授权发明专利

[1] 冯德成, 李杰, 高向玲, 张业树. 一种内力测量传感器.

[2] 冯德成, 吴刚. 一种装配式梁柱抗震结构.

[3] 陈适之, 吴刚, 冯德成. 一种基于多重交叉验证的桥梁损伤识别方法.

[4] 陈适之, 吴刚, 冯德成. 基于分布式长标距光纤光栅传感器的桥梁式动态称重方法.


软件著作权

[1] 冯德成, 任晓丹. 基于ABAQUS的混凝土弯-剪-滑移耦合纤维软件.

[2] 冯德成, 吴刚. 基于机器学习的混凝土高层结构全寿命抗力评估软件.

[3] 冯德成, 刘振韬, 吴刚. 基于机器学习技术的钢筋混凝土构件承载力计算软件.

[4] 冯德成, 刘振韬, 吴刚. 基于学习辅助的钢筋混凝土结构抗震易损性分析软件.

[5] 冯德成, 吴京, 吴刚. 装配式混凝土结构节点区钢筋应力滑移关系计算软件.

[6] 冯德成, 吴京, 吴刚, 任晓丹. 考虑节点行为的装配式混凝土结构显式动力分析软件.


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