Prof. Chunxiang Li

Shanghai University, China

Email: [email protected]

Qualifications

2000 Post-doctoral position, Shanghai Jiaotong University, China

1999 Ph.D., Institute of Civil Engineering, Tongji University of Technology, China

1993 M.Sc., Institute of Civil Engineering, Tongji University of Technology, China

1988 B.Sc., Institute of Civil Engineering, Hefei University of Technology, China

Publications(Selected)

1. Cao, L., Lu, J., & Li, C. (2024). Enhanceddata-driven simulation of non-stationary winds using DPOD based coherence matrix decomposition. Wind and Structures, 39(2), 125–140.
2. Cao, L., Li, X., Huang, Y., et al. (2025). High robust eddy current tuned tandem mass dampers-inerters for structures under the ground acceleration. Soil Dynamics and Earthquake Engineering, 188, Article 109040.
3. Cao, L., Pan, H., Li, X., et al. (2025). Predicting optimal primary tuning parameters of PTTMDI for vortex-induced vibration control of super-tall buildings using physics information enhanced DNN. Engineering Structures, 334, Article 120268.
4. Chen, X., De Domenico, D., & Li, C. (2023). Seismic resilient design of rocking tall bridge piers using inerter-based systems. Engineering Structures, 281, Article 115819.
5. Fang, Y., Zhao, B., Chren, W., et al. (2024). Fluid-structure interaction analysis of large-span air-supported membrane structures under typhoon conditions. Physics of Fluids, 36(11), Article 115163.
6. Huang, X., Wei, H., Cao, L., et al. (2026). Deep reinforcement learning TD3-driven high-performance construction of nonstationary wind field through single-point measured data. Journal of Wind Engineering and Industrial Aerodynamics, 274, Article 106461.
7. Li, C., Chen, L., & Cao, L. (2023). High-efficiency simulation of nonstationary wind velocity using diagonal POD of decomposed time-frequency interpolation node spectrum matrices. Journal of Wind Engineering and Industrial Aerodynamics, 233, Article 105314.
8. Li, C., Li, H., & Chen, X. (2022). Fast seismic response estimation of tall pier bridges based on deep learning techniques. Engineering Structures, 266, Article 114566.
9. Li, C., Pan, H., & Cao, L. (2022). Tuned tandem mass dampers-inerters for suppressing vortex-induced vibration of super-tall buildings. Engineering Structures, 270, Article 114831.
10. Li, C., Pan, H., & Cao, L. (2024). Pendulum-type tuned tandem mass dampers-inerters for crosswind response control of super-tall buildings. Journal of Wind Engineering and Industrial Aerodynamics, 247, Article 105706.
11. Li, C., Zhao, J., Pan, H., et al. (2025). Deep reinforcement learning based performance optimization of hybrid system for base-isolated structure and shape memory alloy-inerter. Engineering Structures, 334, Article 120244.
12. Li, J., Quan, Z., Zhang, Y., et al. (2022). Computational Fluid Dynamics Based Kriging Prediction on Flutter Derivatives of Flat Steel Box Girders. Symmetry-Basel, 14(7), Article 1304.
13. Li, J., Zhu, D., & Li, C. (2022). Comparative analysis of BPNN, SVR, LSTM, Random Forest, and LSTM-SVR for conditional simulation of non-Gaussian measured fluctuating wind pressures. Mechanical Systems and Signal Processing, 178, Article 109285.
14. Li, J., Zhu, D., & Li, C. (2023). Johnson curve model based CDF mapping method for estimating extreme values of the measured non-Gaussian wind pressures including the non-stationary effect investigation. Mechanical Systems and Signal Processing, 190, Article 110132.
15. Li, J., Zhu, D., Cao, L., et al. (2023). A wavelet transform based stationary transformation method for estimating the extreme value of the non-stationary wind speeds. Probabilistic Engineering Mechanics, 74, Article 103549.
16. Li, X., Wang, Z., Pan, H., et al. (2025). Hybrid system of base-isolated structures with tuned tandem mass damper-inerters considering internal friction. Journal of Building Engineering, 101, Article 111853.
17. Lin, Q., Bao, X., Lei, Y., et al. (2023). Simulation combined transfer learning model for missing data recovery of nonstationary wind speed. Wind and Structures, 37(5), 383–397.
18. Ma, R., Zhu, Z., Li, C., et al. (2024). Multi-step wind speed forecasting synergistically using generalized S-transform and improved grey wolf optimizer. Wind and Structures, 38(6), 461–475.
19. Ou, Y., Cao, L., Yin, W., et al. (2026). Performance of base-isolated structures with eddy current damper tuned tandem mass dampers-inerters considering soil-structure interaction. Soil Dynamics and Earthquake Engineering, 209, Article 110475.
20. Pan, H., Li, C., & Cao, L. (2024). Bidirectional pendulum-type tuned mass damper inerter for synchronously controlling the alongwind and crosswind responses of super-tall buildings. Engineering Structures, 315, Article 118522.
21. Pan, H., Li, C., & Cao, L. (2025). Bidirectional pendulum-type tuned tendem mass dampers-inerters for integrated control of alongwind and crosswind responses in super-tall buildings. Journal of Building Engineering, 100, Article 111676.
22. Wang, CQ., Guo, J., Cao, L., et al. (2024). Mechanical behavior and fiber reinforcing mechanism of high-toughness recycled aggregate concrete under high strain-rate impact loads. Construction and Building Materials, 437, Article 136960.

Profile Details
https://www.researchgate.net/scientific-contributions/Chunxiang-Li-2130606691
https://www.scilit.com/scholars/019f269d153772e49d23ed8bca4bcd7b


WOS ResearcherID: OON-1904-2025