Profile

Zhengliang Xiang, PhD in Engineering, is currently a lecturer and master's supervisor at the School of Civil Engineering, Central South University.

He has led one National Natural Science Foundation of China project, one sub-project of the National Key Research and Development Program, one Hunan Provincial Natural Science Foundation project, and one China Postdoctoral Science Foundation project. He has also participated as a key researcher in major national scientific instrument development projects, National Key Research and Development Program projects, and major projects of China Railway Corporation. He also leads one research project on the reform of degree and postgraduate education at Central South University.

His research focuses on the interdisciplinary application of artificial intelligence in civil engineering disaster prevention and mitigation, including bridge structural reliability calculation methods, bridge wind resistance, and bridge structural health monitoring. He has published over 20 academic papers in authoritative domestic and international journals such as Reliability Engineering and System Safety, Mechanical Systems and Signal Processing, Engineering with Computers, and Structural Health Monitoring, and has been granted 5 national invention patents and 5 software copyrights.

He is a member of the Chinese Society of Theoretical and Applied Mechanics, expert reviewer for the National Natural Science Foundation of China, expert in the National Postgraduate Education Evaluation and Monitoring Expert Database, editorial board member of Scientific Reports, young editorial board member of Advances in Wind Engineering, and reviewer for multiple SCI journals. Recipient of numerous awards and honors, including the First Prize of the Science and Technology Award from the China Railway Society, the First Prize of the Teaching Achievement Award for Higher Education (Undergraduate) from Central South University, the Excellence Award in the First Hunan Provincial Postdoctoral Innovation and Entrepreneurship Competition, the Hunan Provincial Excellent Master's Thesis Award, the Central South University Excellent Master's Thesis Award, the Central South University Outstanding Graduate Award, the Central South University Outstanding Postgraduate Award, and the Harbin Institute of Technology "OVM Scholarship."

His team recruits master's students annually (Civil Engineering, Civil Hydraulic Engineering, and Fire Protection Engineering). Interested students are welcome to apply. Email: xiangzl@csu.edu.cn

Research Projects

1. Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China, Sub-project, 2025YFB2606604-2, Stability Maintenance and Displacement Control Technology for Long-Span Railway Bridges under Typhoons, 2025-12 to 2028-11, RMB 400,000, Principal Investigator

2. National Natural Science Foundation of China, Youth Science Foundation Project (Category C) [formerly Youth Science Foundation Project], 52208223, Deep Generative Network and Deep Reinforcement Learning Fusion Method for Buffeting Reliability Analysis of Long-Span High-Speed Railway Bridges, 2023-01-01 to 2025-12-31, RMB 300,000, Principal Investigator

3. Hunan Provincial Department of Science and Technology, Youth Fund Project, 2023JJ40754, Research on Buffeting Reliability Analysis Method of Long-Span High-Speed Railway Bridges under Mixed Uncertainty Based on Deep Learning, 2023-01 to 2025-12, RMB 50,000, Principal Investigator

4. China Postdoctoral Science Foundation, General Program, 2022M713545, Research on Fusion Analysis Method of Buffet Reliability of Long-Span High-Speed Railway Bridges Based on Deep Learning, 2022-06 to 2024-05, 80,000 RMB, Principal Investigator

5. Central South University, Graduate Innovation Project, 2016zzts419, Research on Remaining Life Prediction of Fire-Exposed Structures Based on Time-Varying Reliability, 2016-06-01 to 2017-05-31, 9,000 RMB, Principal Investigator

6. National Natural Science Foundation of China, National Major Scientific Instrument Development Project, 52327810, Development of Real-Time Aerodynamic Hybrid Simulation Test Equipment for High-Speed Railway Vehicle-Bridge System, 2024-01-01 to 2028-12-31, 8,326,000 RMB, Participant (Responsible for Sub-project 3)

7. Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program, 2022YFB2302700, Wind Resistance Theory and Traffic Safety Control Technology of 1,000-meter-class Large-span Suspension Bridges in High-altitude Deep Canyon Areas of the Sichuan-Tibet Railway, 2023-04 to 2026-03, 30 million RMB, Participant (Key Member of Project Office)

8. China Railway Corporation, Major Project, 2021-Special Project-04-2, Research on Disaster-causing Mechanism and Key Technologies for Safety Control of Bridge Structures under Multi-hazard Coupling Effects, 2021-12 to 2024-12, 10 million RMB, Participant (Project Leader)

9. National Natural Science Foundation of China, General Program, 51978216, Diagnosis of Abnormal Data in Health Monitoring of Large Bridges Based on Computer Vision and Deep Learning, 2020-01-01 to 2023-12-31, 600,000 RMB, Participant

10. China Railway Engineering Design & Consulting Group Co., Ltd., Horizontal Project, KY2024A012, Research on Key Technologies of Steel Truss Stiffened Concrete Continuous Beam Bridge, 2026-03-17 to 2026-12-31, Principal Investigator

11. Central South University, Research Project on the Reform of Degree and Postgraduate Education and Teaching, Research on Innovative Civil Engineering Postgraduate Training Model Integrating AI and Disaster Prevention and Mitigation, 2025-01-01 to 2026-12-31, Principal Investigator

12. Hunan Provincial Department of Education, Research Project on Teaching Reform of Hunan Provincial Ordinary Undergraduate Colleges, 202502000167, Artificial Intelligence Empowering Civil Engineering Teaching Reform and Curriculum Upgrading, 2025-07-28 to 2027-07-28, Participant

Journal Publications

1. He, X., Jing, H., & Xiang, Z. (项正良, 通讯作者). (2026). Structural Response Probability Density Prediction Method Based on Interpretable Deep Generative Network. Available at SSRN 5354274.

2. Shen, Y., Chen, H., He, L., Wang, Q., & Xiang, Z. (项正良, 通讯作者). (2026). Prediction of compressive strength of concrete after freeze-thaw cycles and high temperature exposure using computer vision and transfer learning, Construction and Building Materials, 520, 145985.

3. Shen, Y., & Xiang, Z (项正良, 通讯作者). (2026). An efficient method considering imbalanced datasets for structural surface defect detection based on knowledge transfer and active learning. Results in Engineering, 109578.

4. Shen, Y., Wang, X., Tong, J., & Xiang, Z (项正良, 通讯作者). (2025). A new air cabin ventilation relay system and its optimization design for extra-long tunnel construction, with multiple working faces. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 47(1), 5059-5078.

5. Zhao, Y. S., He, X.*, Shi, K.*, Peng, B., & Xiang, Z. (项正良) (2025). An adaptive multitask deep learning model for reliability analysis of vehicle-bridge stochastic vibration systems. Mechanical Systems and Signal Processing, 238, 113190.

6. Shen, Y., Wang, Q., Zhou, Q., Li, X., & Xiang, Z (项正良, 通讯作者). (2024). Experimental Study on Fire Resistance of Geopolymer High-Performance Concrete Prefabricated Stairs. Buildings, 14(12), 3783.

7. Wang, W., Chen, Q., Shen, Y., & Xiang, Z (项正良, 通讯作者). (2024). Leakage Identification of Underground Structures Using Classification Deep Neural Networks and Transfer Learning. Sensors, 24(17), 5569.

8. Shen, Y., He, L., Dai, M., Wang, Q., & Xiang, Z (项正良, 通讯作者). (2024, August). Study on fire resistance of high performance concrete nonplanar beam-wall joints. In Structures (Vol. 66, p. 106820). Elsevier.

9. Xiang, Z. (项正良), He, X.*, Zou, Y., & Jing, H. (2024). An active learning method for crack detection based on subset searching and weighted sampling. Structural health monitoring, 23(2), 1184-1200.

10. Xiang, Z. (项正良), He, X.*, Zou, Y., & Jing, H. (2024). An importance sampling method for structural reliability analysis based on interpretable deep generative network. Engineering with Computers, 40(1), 367-380.

11. Shen, Y., Dai, M., Pu, W., & Xiang, Z. (项正良, 通讯作者) (2022). Effects of content and length/diameter ratio of PP fiber on explosive spalling resistance of hybrid fiber-reinforced ultra-high-performance concrete. Journal of Building Engineering, 58, 105071.

12. Bao, Y., Xiang, Z. (项正良), & Li, H. (2021). Adaptive subset searching-based deep neural network method for structural reliability analysis. Reliability Engineering & System Safety, 213, 107778.

13. Xiang, Z. (项正良), Bao, Y.*, Tang, Z., & Li, H. (2020). Deep reinforcement learning-based sampling method for structural reliability assessment. Reliability Engineering & System Safety, 199, 106901.

14. Xiang, Z. (项正良), Chen, J., Bao, Y.*, & Li, H. (2020). An active learning method combining deep neural network and weighted sampling for structural reliability analysis. Mechanical Systems and Signal Processing, 140, 106684.

15. Shen, Y.*, Xiang, Z. (项正良), Ma, F., Mi, F., & Chen, Z. (2018). Experimental study of the gas diffusion coefficient of heated concrete. Construction and Building Materials, 170, 627-636.

16. 申永江, 杨明, 项正良, & 申永志. (2018). 柔性双排长短组合桩滑坡推力的计算方法. 岩土力学, 39(10), 3597-3602.

17. Shen, Y., Yu, Y.*, Ma, F., Mi, F., & Xiang, Z. (项正良) (2017). Earth pressure evolution of the double-row long-short stabilizing pile system. Environmental Earth Sciences, 76(16), 586.

18. 项正良, 申永江*, 马菲, 杨明, & 徐伟国. (2017). 工程结构时变可靠度方法及 Monte Carlo 实现. 铁道科学与工程学报, 14(5), 1029-1036.

19. 李耀庄, 翟治鹏, & 项正良. (2017). 基于翘曲位移函数的框筒结构剪力滞后效应研究. 铁道科学与工程学报, 14(7), 1505-1511.

20. Shen, Y., Wu, Z.*, Xiang, Z. (项正良), & Yang, M. (2017). Physical test study on double-row long-short composite anti-sliding piles. Geomechanics & engineering, 13(4), 621-640.

21. Shen, Y. J., Yang, M., Cui, H. H., Xiang, Z. L. (项正良), Li, Y. Z., & Wen, K. (2015). Distribution characteristics and influence factors of soil arching ring behind stabilizing piles. Applied Mechanics and Materials, 744, 474-478.

22. 申永江, 杨明, 项正良, 郑茂营, 徐伟国, & 文康. (2015). 双排桩桩排间土拱效应的发育规律研究. 水文地质工程地质, (1), 70-74.

23. 申永江, 杨明, & 项正良. (2015). 双排长短组合桩与常见双排桩的对比研究. 岩土工程学报, 37(zk2), 96-100.

Patents

1. Xiang Zhengliang, He Xuhui. Important Sampling Method for Reliability Calculation of High-Speed Railway Bridges Based on Deep Generative Networks, 2025-05-02, China, ZL 2022 1 1670970.3 (National Invention Patent)

2. He Xuhui, Xiang Zhengliang. Appearance Crack Identification Method for Bridges Based on Adaptive Subset Search and Deep Learning, 2026-02-27, China, ZL 2022 1 1670986.4 (National Invention Patent)

3. Wang Wenxi; He Xuhui; Wen Qiang; Zhang Xiaoyu; Xiang Zhengliang. An Elastic Wedge Device and Its Design Method, 2025-11-25. China, ZL 2024 1 0952692.3 (National Invention Patent Authorization)

4. Shen Yongjiang; Xiang Zhengliang; Ma Fei; Yang Ming. A Device for Preparing Soil/Rock Samples with Different Moisture Contents, 2017-09-22. China, ZL 2015 1 0430243.3 (National Invention Patent Authorization)

5. Shen Yongjiang; Yang Ming; Xiang Zhengliang; Wen Kang. A Double-Row Long and Short Combination Anti-Slide Pile, 2017-04-05, China, ZL 2014 1 0430783.7 (National Invention Patent Authorization)

Softwares

1. Xiang Zhengliang; He Xuhui; Wen Qiang; Wei Xiaojun; Software for Calculating Probability Density of Random Vibration Response of Bridge Structures Based on Flow Model, 2024SR1473758, 2024-10-08 (Software Copyright)

2. Xiang Zhengliang; He Xuhui; Computer Vision Software for Identifying Apparent Cracks in High-Speed Railway Bridges Based on Active Learning, 2023SR1218025, 2023-08-09 (Software Copyright)

3. Xiang Zhengliang; He Xuhui; Important Sampling Software for Structural Reliability Analysis Based on Deep Generative Networks, 2022SR1192626, 2022-06-30 (Software Copyright)

4. Xiang Zhengliang; He Xuhui; Structural Reliability Analysis Software Based on Deep Learning Proxy Model, 2022SR1214106, 2022-06-30 (Software Copyright)

5. Bao Yuequan; Li Hui; Xiang Zhengliang; Tang Zhiyi; Jin Yao; Software for Structural Reliability Calculation Based on Deep Reinforcement Learning, 2019SR0344608, 2019-04-17 (Software Copyright)

Teaching achievements

1. Course taught: Principles of Structural Design, a required undergraduate course.

2. 2025 Undergraduate Innovation Training Program Project of Central South University, Provincial-level Project, S202510533227, Research on Machine Learning Recognition Method for Bridge Fires Based on Transfer Learning and Generative Models, 3000 RMB, Team members: He Xu, Chen Ying, Liu Lichang, Sun Haobo, Zhang Run, Supervisor: Xiang Zhenliang

3. Second Prize, First China Postgraduate Intelligent Construction Innovation Competition, China Association for Academic Degrees and Graduate Education and China Association for Science and Technology Youth Science Center, Deep Learning-based Bridge Defect Recognition, 2025, Team members: Chen Huaxing, Ning Junxi, Zou Mohan, Supervisors: Shen Yongjiang, Xiang Zhenliang

Honors and Awards

1. China Railway Society, Science and Technology Progress Award, First Prize, Key Technologies and Engineering Applications of Wind Resistance for Long-Span High-Speed Railway Bridges, 2025, Ranked 17/25

2. Central South University, Higher Education Teaching Achievement Award (Undergraduate), First Prize, Creation and Practice of a Talent Training System for Non-Public Security Fire Protection Engineering Majors "Based on Civil Engineering Characteristics and Practicing Science-Education Collaboration", 2025, Ranked 11/16

3. Hunan Provincial Department of Human Resources and Social Security, First Hunan Provincial Postdoctoral Innovation and Entrepreneurship Competition Winner, Reliability Assessment System for High-Speed Railway Bridges under Multi-Hazard Coupling Based on Deep Learning, 2023, Ranked 1/4

4. Hunan Provincial Department of Education, Hunan Provincial People's Government Academic Degrees Committee, Hunan Provincial Excellent Master's Thesis, Research on Remaining Life Prediction of Fire-Stricken RC Structures Based on Time-Varying Reliability, 2019, Ranked 1

5. Central South University Excellent Master's Thesis, Research on Remaining Life Prediction of Fire-Stricken RC Structures Based on Time-Varying Reliability, 2018, Ranked 1

6. Outstanding Postgraduate Student of Central South University, 2016, ranked 1st

7. Outstanding Graduate of Central South University, 2014, ranked 1st

8. Harbin Institute of Technology, OVM Scholarship, 2020, ranked 1st

Research Group

[1]Name of Research Group:Wind Engineering Research Center of Central South Univers...

[2]Name of Research Group:Department of Fire Engineering

[3]Name of Research Group:Wind resistance reliability of bridges