▎基本信息
| |
| |
|
▎研究方向
道路无损检测、道路材料与结构模拟、道路数据分析、人工智能应用 |
▎招生专业
博士生:道路与铁道工程 硕士生:道路与铁道工程 专业学位硕士:交通运输、工程管理(非全日制) |
▎教育与工作经历
教育经历2017年8月~2020年8月,美国德州农工大学,土木工程,博士 2015年8月~2017年8月,美国德州农工大学,土木工程,硕士 2011年8月~2015年6月,武汉理工大学,土木工程,学士 工作经历2024年6月至今,华南理工大学,土木与交通学院,副教授 2022年9月~2024年5月,美国华盛顿州立大学,土木与环境工程系,研究助理教授,合作教授:Xianming Shi 2020年9月~2022年9月,美国华盛顿州立大学,土木与环境工程系,博士后,合作教授:Xianming Shi |
▎教学与科研情况
科研 科研兴趣:道路性能预测、模型修正、数字孪生、群体智能算法 科研项目: 1.“Integrating Data and Physics for Assessing Maintenance Strategies to Enhance Winter Road Resilience”. The Pacific Northwest Transportation Consortium (PacTrans), the Regional University Transportation Center (UTC) for Federal Region 10. 2023-2024. 主持 2.“Developing Enhanced Performance Curves of ITD Asphalt Pavements by Mining the Historical Data”. Idaho Department of Transportation (IDOT) & University Transportation Centers Program (UTC). 2020 – 2023. 主持 3.“Prediction of Traffic Mobility Based on Historical Data and Machine Learning Approaches.” Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) & University Transportation Centers Program (UTC). 2021 – 2022. 参与 4.“Proposed Enhancements to Pavement ME Design: Improved Consideration of the Influence of Subgrade and Unbound Layers on Pavement Performance”. National Cooperative Highway Research Program (NCHRP). 2018 – 2019. 参与 5.“Develop Nondestructive Rapid Quality Assurance / Quality Control Evaluation Test Method and Supporting Technology (Phase I & II)”. Texas Department of Transportation (TxDOT). 2015 – 2019. 参与 6.“Advancing Innovative High-Speed Remote-Sensing Highway Infrastructure Assessment Using Emerging Technologies (Task 5)”. Texas Department of Transportation (TxDOT). 2016. 参与 代表性成果: *通讯作者 1.Deng, Y., Wang, H.*, and Shi, X. (2024). “Physics-Guided Neural Network for Predicting Asphalt Mixture Rutting with Balanced Accuracy, Stability and Rationality.” Neural Networks, 172, 106085. 2.Deng, Y., and Shi, X.* (2024). “Short-term Predictions of Asphalt Pavement Rutting Using Deep Learning Models.” Journal of Transportation Engineering, Part B: Pavements, 150(2), 04024004. 3.Deng, Y., Shi, X.* (2023). “Modeling the Rutting Performance of Asphalt Pavements: A Review.” Journal of Infrastructure Preservation and Resilience, 4(1), 17. 4.Deng, Y., Zhang, Y., and Shi, X.* (2023). “Feasibility of Determining Asphalt Pavement Condition from Falling Weight Deflectometer Test and Finite Element Model Updating.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2254), 20220168. 5.Deng, Y., Shi, X.*, Kou, Y., Chen, J., and Shi, Q. (2022). “Optimized Design of Asphalt Concrete Pavement Containing Phase Change Materials Based on Rutting Performance.” Journal of Cleaner Production, 380, 134787. 6.Deng, Y., Shi, X.* (2022). “An Accurate, Reproducible and Robust Model to Predict the Rutting of Asphalt Pavement: Neural Networks Coupled with Particle Swarm Optimization.” IEEE Transactions on Intelligent Transportation Systems, 23(11), 22063-22072. 7.Deng, Y., Shi, X.* (2022). “Development of Predictive Models of Asphalt Pavement Distresses in Idaho through Gene Expression Programming.” Neural Computing & Applications, 34, 14913–14927. 8.Deng, Y., Zhang, Y.*, Shi, X., Hou, S., and Lytton, R. L. (2022). “Stress-strain Dependent Rutting Prediction Models for Multi-layer Structures of Asphalt Mixtures.” International Journal of Pavement Engineering, 45(3), 671-686. 9.Deng, Y., Luo, X.*, and Wang, H. (2021). “Backcalculation of Damage Density of In-Service Asphalt Pavements Using Artificial Intelligence-Based Finite Element Model Updating.” Fatigue & Fracture of Engineering Materials & Structures, 45(3): 671- 686. 10.Deng, Y., Shi, X.*, and Zhang, Y.* (2021). “Determination of Composite Modulus of Concrete Containing Reclaimed Asphalt Pavement Using Micromechanical Modelling and Soft Computing Techniques.” Journal of Cleaner Production, 327, 129486. 11.Deng, Y., Shi, X.*, Zhang, Y., and Chen, J. (2021). “Numerical Modelling of Rutting Performance of Asphalt Concrete Pavement Containing Phase Change Material.” Engineering with Computers, 1-16. 12.Deng, Y., Zhang, Y.*, Luo, X., and Lytton, R. L. (2021). “Development of Equivalent Stationary Dynamic Loads for Moving Vehicular Loads Using Artificial Intelligence-based Finite Element Model Updating.” Engineering with Computers, 38, 2955–2974. 13.Deng, Y., Luo, X.*, Zhang, Y., Cai, S., Huang, K., Shi, X., and Lytton, R. L. (2021). “Determination of Flexible Pavement Deterioration Conditions Using Long-Term Pavement Performance Database and Artificial Intelligence-based Finite Element Model Updating.” Structural Control and Health Monitoring, 28(2), e2671. 14.Deng, Y., Luo, X.*, Zhang, Y., and Lytton, R. L. (2020). “Evaluation of Flexible Pavement Deterioration Conditions Using Deflection Profiles under Moving Loads.” Transportation Geotechnics, 100434. 15.Deng, Y., Luo, X.*, Zhang, Y., and Lytton, R. L. (2020). “Determination of Complex Modulus Gradients of Flexible Pavements Using Falling Weight Deflectometer and Artificial Intelligence” Materials and Structures, 53(4), 1-17. 16.Deng, Y., Luo, X.*, Gu, F., Zhang, Y., and Lytton, R. L. (2019). “3D Simulation of Deflection Basin of Pavements under High-speed Moving Loads.” Construction and Building Materials, 226, 868-878. 17.Chen, C., Deng, Y.*, Li, M., and Shi, X.* (2023). “Key Climatic Factors Affecting Asphalt Pavement Roughness Differ in Different Climate Regions: Exploratory Analyses.” Transportation Research Part D, 122(C), 103877. 18.Hou, S., Deng, Y.*, Jin, R., Shi, X., and Luo, X. (2022). “Relationships between Physical, Mechanical and Acoustic Properties of Asphalt Mixtures Using Ultrasonic Testing.” Buildings, 12(3), 306. 19.Ling, M., Deng, Y.*, Zhang Y., Luo, X., and Lytton, R. L. (2020). “Evaluation of Complex Poisson’s Ratio of Aged Asphalt Field Cores Using Direct Tension Test and Finite Element Simulation.” Construction and Building Materials, 261, 120329. 20.Zhang, Y., Deng, Y., Shi, X.* (2022). “Model Development and Prediction of Anti-Icing Longevity of Asphalt Pavement with Salt-Storage Additive.” Journal of Infrastructure Preservation and Resilience, 3, 1. 21.He, J., Manawadu, A., Deng, Y., and Shi, X.* (2023). “Frost Durability and Service Life Prediction of Self-Healing Concrete.” ACI Materials Journals, in press. 22.Luo, X.*, Wang, H., Deng, Y., and Li, H. (2022). “Automatic Inverse Analysis of Asphalt Pavement Field Aging Based on System Identification.” IEEE Transactions on Intelligent Transportation Systems, 23(11), 22106-22115. 23.Luo, X.*, Li, H., Deng, Y., and Zhang, Y. (2020). “Energy-based Kinetics Approach for Coupled Viscoplasticity and Viscofracture of Asphalt Mixtures.” Journal of Engineering Mechanics, 146(9), 04020100. 24.Zhang, Y., Luo, X.*, Deng, Y., Hou, S., Shi, X., and Lytton, R. L. (2020). “Evaluation of Rutting Potential of Flexible Pavement Structures Using Energy-based Pseudo Variables.” Construction and Building Materials, 247, 118391. 25.Hou, S., Shi, X.*, Deng, Y., and Gu, F. (2018). “Evaluation of Rutting and Friction Resistance of Hot Mix Asphalt Concrete Using an Innovative Vertically Loaded Wheel Tester.” Construction and Building Materials, 176, 710-719. 26.Zhang, Y., Chen, H., Xiao, P.*, Deng, Y., and Kang, A. (2022). “Investigation of Average Asphalt Film Thickness of Dense Graded Asphalt Mixtures with Compaction Effects.”Construction and Building Materials, 326, 126696. |