职称：8040威尼斯工程抗震研究中心副教授

研究领域：主要从事脆性材料界面断裂、智能防灾减灾与城市多灾害模拟研究工作

招生方向：结构工程[081402]、防灾减灾工程及防护工程[081405]、土木水利（结构工程方向）[085900]

办公地点：8040威尼斯减震防灾与安全实验室605室

电子邮箱：cheng.yuan@gzhu.edu.cn

个人简介

8040威尼斯工程抗震研究中心副教授，8040威尼斯百人计划青年杰出人才。2020年毕业于澳大利亚科廷大学，2023年于同济大学博士后出站。主要从事脆性材料界面断裂、智能防灾减灾与城市多灾害模拟研究工作。主持国家自然科学基金青年项目1项、中国博士后科学基金第15批特别资助1项、中国博士后科学基金第69批面上资助1项、上海市地震局市协作项目1项。作为项目骨干参与国家重点研发计划项目子课题1项。相关研究工作已发表期刊论文65篇，已授权发明专利4项，软件著作权7项，入选上海市2020年度“超级博士后”荣誉称号。

教育背景

2020年博士毕业于澳大利亚科廷大学土木工程专业，2016年硕士毕业于澳大利亚阿德莱德大学土木工程结构专业。

职业经历

2024.03-至今，8040威尼斯，工程抗震研究中心，副教授

2020.09-2024.01，同济大学，防灾减灾工程系，博士后

科研服务

①    国家自然科学基金青年基金项目，2020.01-2024.12，主持

②   中国博士后科学基金第15批特别资助，2022.07-2023.09，主持

③   中国博士后科学基金第69批面上资助，2021.06-2023.09，主持

④   上海市地震局佘山野外观测站项目，2022.01-2023.12，主持

⑤   国家重点研发计划，多机协同的室内灾情场景重构与智慧分析，2021.01-2024.12，参与，项目骨干

⑥   国家自然科学基金委员会, 国际(地区)合作与交流项目，2021.01-2025.12，参与

研究成果

 1.    获奖及荣誉

①    2020年度国家优秀自费留学生奖学金，中国国家留学基金管理委员会

②    2020年度“上海市超级博士后”，上海市人力资源和社会保障局

③   2020年度“澳大利亚科廷大学校长优秀博士学位奖”, 澳大利亚廷大学

④   2016年度科廷国际研究生奖学金Curtin International Postgraduate Research Scholarship (CIPRS)

2.    近期发表的期刊文章

1.    熊青松, 熊海贝, 孔庆钊, 陈琳, 丁叶蔚, 袁程. 基于振动信号深度表征学习的高层建筑结构振动识别. 工程力学. 2022;40:1-10.

2.    袁程, 熊青松, 孔庆钊. 钢筋混凝土剪力墙抗震滞回性能的多元时序深度神经网络预测. 工程力学. 2022;40:1-12.

3.    袁程, 熊青松, 秦晓明, 熊海贝, 孔庆钊. 对抗神经深度网络与信号重构技术对混凝土梁应力波损伤信号的模糊聚类. 工程力学. 2022.

4.    Chen L, Xiong H, Sang X, Yuan C, Li X, Kong Q. An innovative deep neural network–based approach for internal cavity detection of timber columns using percussion sound. Structural Health Monitoring. 2022;21(3):1251-65.

5.    Ding J, Li Y, Xing W, Ren P, Kong Q, Yuan C. Mechanical properties and engineering application of single-span steel-concrete double-sided composite beams. Journal of Building Engineering. 2021;40:102644.

6.    Ding Y, Xiong H, Chen L, Yuan C, Xiong Q, Lu Y, editors. Non-destructive sensing data-driven hysteretic behavior prediction of CLT joints based on recurrent neural networks. Structures; 2023: Elsevier.

7.    Ding Y, Xiong H, Yuan C, Chen L, Lu Y. RNN-BASED MONOTONIC LOADING BEHAVIOR PREDICTION OF CLT JOINTS.

8.    Huang T, Yuan C, Li P, Xu S, Kong Q. Spatial displacement tracking of vibrating structure using multiple feature points assisted binocular visual reconstruction. Engineering Applications of Artificial Intelligence. 2023;126:106889.

9.    Kong Q, Gu J, Xiong B, Yuan C. Vision‐aided three‐dimensional damage quantification and finite element model geometric updating for reinforced concrete structures. Computer‐Aided Civil and Infrastructure Engineering. 2023;38(17):2378-90.

10.  Kong Q, He C, Liao L, Xu J, Yuan C, editors. Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete. Structures; 2023: Elsevier.

11.  Kong Q, Ji K, Gu J, Chen L, Yuan C. A CNN-integrated percussion method for detection of FRP–concrete interfacial damage with FEM reconstruction. Structural Health Monitoring. 2023;22(1):216-31.

12.  Kong Q, Li Y, Wang S, Yuan C, Sang X. The influence of high-strength bolt preload loss on structural mechanical properties. Engineering Structures. 2022;271:114955.

13.  Kong Q, Liao L, Yuan C. Rapid generation of editable engineering drawings from 3D point cloud reconstruction for large-scale buildings. Journal of Building Engineering. 2023;63:105486.

14.  Kong Q, Xiong Q, Xiong H, He C, Yuan C. Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment. Measurement. 2023;214:112779.

15.  Le TD, Pham TM, Hao H, Yuan C. Performance of precast segmental concrete beams posttensioned with carbon fiber-reinforced polymer (CFRP) tendons. Composite Structures. 2019;208:56-69.

16.  Li P, Qi Y, Yuan C, Kong Q, Xiong B. A deep learning-based vision enhancement method for UAV assisted visual inspection of concrete cracks. Smart Structures and Systems, An International Journal. 2021;27(6):1031-40.

17.  Liu Q, Li P, Yuan C. Seismic and resilient assessment on moment resisting frames with novel self-centering viscous dampers. Journal of Constructional Steel Research. 2023;211:108186.

18.  Liu Q, Li P, Yuan C, Li W, Ding S. Experimental and analytical modelling on a novel self-centering viscous damper. Journal of Building Engineering. 2023;75:107020.

19.  Liu Q, Li P, Yuan C, Li W, Ding S, editors. Development and Analysis of Self-centering Viscous Dampers. International Conference on Computational & Experimental Engineering and Sciences; 2023: Springer Nature Switzerland Cham.

20.  Ni X, Xiong Q, Kong Q, Yuan C. Deep HystereticNet to predict hysteretic performance of RC columns against cyclic loading. Engineering Structures. 2022;273:115103.

21.  Ni X, Yuan C, Li Y. Experimental and analytical study on eccentric compressive behavior of concrete columns strengthened with high-strength reinforcement of HRB600. Advances in Structural Engineering. 2023;26(3):428-47.

22.  Peng Z, Kong Q, Yuan C, Li R, Chi H-L. Development of acoustic denoising learning network for communication enhancement in construction sites. Advanced Engineering Informatics. 2023;56:101981.

23.  Qi Y, Li P, Xiong B, Wang S, Yuan C, Kong Q. A two-step computer vision-based framework for bolt loosening detection and its implementation on a smartphone application. Structural Health Monitoring. 2022;21(5):2048-62.

24.  Qi Y, Yuan C, Li P, Kong Q. Damage analysis and quantification of RC beams assisted by Damage-T Generative Adversarial Network. Engineering Applications of Artificial Intelligence. 2023;117:105536.

25.  Sang X, Jia C, Chen L, Yuan C, Kong Q. Programmatic model updating of damaged structures using modified SERR method. Computers & Structures. 2023;289:107144.

26.  Sang X, Sun X, Yuan C, Kong Q. Crack prediction based on curvature-crack spacing model and probabilistic theory. Engineering Fracture Mechanics. 2023;290:109523.

27.  Sang X, Yuan C, Li X, Kong Q. Curvature-enabled analytical method for bending-induced crack location prediction. Engineering Fracture Mechanics. 2022;274:108798.

28.  Tan J, Masud M, Qin X, Yuan C, Kong Q, Mo Y. Damage monitoring of variable cross-section region in a column-drilled shaft assembly using smart aggregates. Smart Structures and Systems, An International Journal. 2021;28(5):593-603.

29.  Wang G, Lu W, Yuan C, Kong Q. A cable tension identification technology using percussion sound. Smart Structures and Systems. 2022;29(3):475-84.

30.  Wang G, Lu W, Yuan C, Wang Y, Zhang P, Fan Y, Kong Q. A vision-based method for estimating shallow cable tension via vibrational properties. Measurement. 2022;195:111070.

31.  Xiong H, Chen L, Yuan C, Kong Q. A novel piezoceramic-based sensing technology combined with visual domain networks for timber damage quantification. Frontiers in Materials. 2021;8:688594.

32.  Xiong H, Xiong Q, Zhou B, Abbas N, Kong Q, Yuan C. Field vibration evaluation and dynamics estimation of a super high-rise building under typhoon conditions: data-model dual driven. Journal of Civil Structural Health Monitoring. 2023;13(1):235-49.

33.  Xiong Q, Kong Q, Xiong H, Liao L, Yuan C. Physics-informed deep 1D CNN compiled in extended state space fusion for seismic response modeling. Computers & Structures. 2024;291:107215.

34.  Xiong Q, Kong Q, Yuan C, Li Y, Ji K, Xiong H. Fusing physics-based and machine learning models for rapid ground-motion-adaptative probabilistic seismic fragility assessment. Journal of Building Engineering. 2024:108938.

35.  Xiong Q, Xiong H, Kong Q, Ni X, Li Y, Yuan C, editors. Machine learning-driven seismic failure mode identification of reinforced concrete shear walls based on PCA feature extraction. Structures; 2022: Elsevier.

36.  Xiong Q, Xiong H, Yuan C, Kong Q. A novel deep convolutional image-denoiser network for structural vibration signal denoising. Engineering Applications of Artificial Intelligence. 2023;117:105507.

37.  Xiong Q, Yuan C, He B, Xiong H, Kong Q. GTRF: A general deep learning framework for tuples recognition towards supervised, semi-supervised and unsupervised paradigms. Engineering Applications of Artificial Intelligence. 2023;124:106500.

38.  Xiong Q, Yuan C, Ji K, He C, Xiong HB, editors. Vibration Recognition Based on Feature Extraction by Deep Autoencoder. Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning; 2023.

39.  XIONG Q, YUAN C, XIONG H, KONG Q. GTRF: A General Tuples Recognition Framework Towards Deep Learning-Driven Structural Health Monitoring Adapted to Diverse Supervision Paradigms. STRUCTURAL HEALTH MONITORING 2023. 2023.

40.  Xu J, Yuan C, Gu J, Liu J, An J, Kong Q. Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification. Structural Health Monitoring. 2023;22(4):2402-26.

41.  Yang Z, Chen Q, Li M, Yuan C, Zhang M, Kong Q. Damage imaging of concrete wall-like structures using cylindrical concrete implantable module. Structural Health Monitoring. 2023;22(3):1776-89.

42.  Yang Z, Chen Q, Li X, Yuan C, Ren Y, Kong Q. An Insertable Sensing Technology for Structure Health Monitoring.

43.  Yang Z, Chen Q, Zhang M, Yuan C, Kong Q. Time-reversal imaging for concrete hole defect based on implantable sensing technology. Mechanical Systems and Signal Processing. 2023;186:109903.

44.  Yang Z, Gao W, Chen L, Yuan C, Chen Q, Kong Q. A novel electromechanical impedance-based method for non-destructive evaluation of concrete fiber content. Construction and Building Materials. 2022;351:128972.

45.  Yuan C. Interfacial Bond Behaviour between FRP Sheet and Concrete under Static and Dynamic Loads: Curtin University; 2020.

46.  Yuan C, Chen W, Hao H, editors. Interfacial bond behavior of fiber reinforced polymer sheets externally bonded to geopolymer concrete. Lecture Notes in Civil Engineering, EASEC16; 2019: Springer.

47.  Yuan C, Chen W, Hao H, Kong Q. Near real‐time bolt‐loosening detection using mask and region‐based convolutional neural network. Structural Control and Health Monitoring. 2021:e2741.

48.  Yuan C, Chen W, Pham TM, Chen L, Cui J, Shi Y, Hao H. Effect of aggregate size on the dynamic interfacial bond behaviour between basalt fiber reinforced polymer sheets and concrete. Construction and Building Materials. 2019;227:116584.

49.  Yuan C, Chen W, Pham TM, Hao H. Bond behavior between basalt fibres reinforced polymer sheets and steel fibres reinforced concrete. Engineering Structures. 2018;176:812-24.

50.  Yuan C, Chen W, Pham TM, Hao H. Bond behaviour between hybrid fiber reinforced polymer sheets and concrete. Construction and Building Materials. 2019;210:93-110.

51.  Yuan C, Chen W, Pham TM, Hao H. Effect of aggregate size on bond behaviour between basalt fibre reinforced polymer sheets and concrete. Composites Part B: Engineering. 2019;158:459-74.

52.  Yuan C, Chen W, Pham TM, Hao H, Chen L, Wang J. Experimental and analytical study of flexural behaviour of BFRP sheets strengthened RC beams with new epoxy anchors. Engineering Structures. 2021;241:112441.

53.  Yuan C, Chen W, Pham TM, Hao H, Chen L, Zhang M. New epoxy anchor for better bonding between FRP sheets and concrete. Construction and Building Materials. 2020;248:118628.

54.  Yuan C, Chen W, Pham TM, Hao H, Cui J, Shi Y. Strain rate effect on interfacial bond behaviour between BFRP sheets and steel fibre reinforced concrete. Composites Part B: Engineering. 2019;174:107032.

55.  Yuan C, Chen W, Pham TM, Hao H, Cui J, Shi Y. Dynamic interfacial bond behaviour between basalt fiber reinforced polymer sheets and concrete. International Journal of Solids and Structures. 2020;202:587-604.

56.  Yuan C, Chen W, Pham TM, Hao H, Cui J, Shi Y. Interfacial bond behaviour between hybrid carbon/basalt fibre composites and concrete under dynamic loading. International Journal of Adhesion and Adhesives. 2020;99:102569.

57.  Yuan C, Chen W, Pham TM, Hao H, Cui J, Shi Y. Influence of concrete strength on dynamic interfacial fracture behaviour between fibre reinforced polymer sheets and concrete. Engineering Fracture Mechanics. 2020;229:106934.

58.  Yuan C, Chen W, Pham TM, Li H, Hao H. Finite element modelling of dynamic bonding behaviours between fibre reinforced polymer sheet and concrete. Construction and Building Materials. 2020;255:118939.

59.  Yuan C, He C, Xu J, Liao L, Kong Q, editors. Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface. Structures; 2022: Elsevier.

60.  Yuan C, Kong Q, Chen W, Jiang J, Hao H. Interfacial debonding detection in externally bonded bfrp reinforced concrete using stress wave-based sensing approach. Smart Materials and Structures. 2020;29(3):035039.

61.  Yuan C, Wang S, Qi Y, Kong Q. Automated structural bolt looseness detection using deep learning‐based prediction model. Structural Control and Health Monitoring. 2022;29(3):e2899.

62.  Yuan C, Xiong B, Li X, Sang X, Kong Q. A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification. Structural Health Monitoring. 2022;21(3):788-802.

63.  Yuan C, Zhang J, Chen L, Xu J, Kong Q. Timber moisture detection using wavelet packet decomposition and convolutional neural network. Smart Materials and Structures. 2021.

64.  Zhang H, Li L, Yuan C, Wang Q, Sarker PK, Shi X. Deterioration of ambient-cured and heat-cured fly ash geopolymer concrete by high temperature exposure and prediction of its residual compressive strength. Construction and Building Materials. 2020;262:120924.

65.  Zhou B, Hu J, Yuan C, Wen W, Kong Q. Permissible Scale Factors for Various Intensity Measures in Aftershock Ground Motion Scaling. Applied Sciences. 2023;13(22):12515.

66.  Zhou Y, Wang S, Zhou M, Chen H, Yuan C, Kong Q. Percussion‐based bolt looseness identification using vibration‐guided sound reconstruction. Structural Control and Health Monitoring. 2022;29(2):e2876.