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Editor Profile

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Dr. Debiao Meng, Ph.D.

Associate Professor

Present

University of Electronic Science and Technology of China (UESTC)

Chengdu

China

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Dr. Debiao Meng is an Associate Professor in the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China (UESTC). He received his Doctor of Engineering degree in Mechatronic Engineering from UESTC in 2014 and completed visiting doctoral research at Vanderbilt University. Dr. Meng’s research is centered on the reliability, safety, and multidisciplinary optimization of complex engineering structures, with a strong focus on Ocean Engineering Systems, Offshore Wind Turbines, and Marine Structural Integrity. His work combines machine learning, intelligent optimization algorithms, and uncertainty-based modeling to develop advanced computational methodologies for evaluating and enhancing the performance and durability of offshore structures such as monopiles, towers, and gearbox systems.

Dr. Meng has authored influential publications on fatigue reliability assessment, hybrid uncertainty modeling, and reliability-based design optimization for offshore wind turbine support structures. His recent work includes hybrid surrogate modeling strategies, intelligent-inspired reliability frameworks, and Krigingassisted optimization methods applied to offshore wind turbine monopiles and towers, published in leading journals such as Maritime Engineering, Ocean Engineering, Renewable Energy, and Computer Methods in Applied Mechanics and Engineering. He is also the author of the monograph Multidisciplinary Design Optimization of Complex Structures Under Uncertainty (CRC Press, 2024), which integrates uncertainty quantification with large-scale structural optimization.

Beyond his research contributions, Dr. Meng serves as Editor-in-Chief of the International Journal of Ocean Systems Management and holds editorial positions across multiple journals and special issues in structural integrity and uncertainty-aware engineering design. His scholarly impact has been recognized through several prestigious awards, including the 2025 IJSI Outstanding Paper Award and the 2024 China Machinery Industry Science and Technology Award, highlighting his sustained contributions to high-reliability marine and offshore engineering systems.

  • Ocean Engineering Systems
  • Offshore Wind Turbines
  • Marine Structural Integrity
  • Meng, D., Yang, S., Yang, H., De Jesus, A. M. P., Correia, J., & Zhu, S.-P. (2024). Intelligent-inspired framework for fatigue reliability evaluation of offshore wind turbine support structures under hybrid uncertainty. Ocean Engineering, 307, 118213.
  • Meng, D., Yang, H., Yang, S., Zhang, Y., De Jesus, A. M. P., Correia, J., Fazeres-Ferradosa, T., Macek, W., Branco, R., & Zhu, S.-P. (2024). Kriging-assisted hybrid reliability design and optimization of offshore wind turbine support structure based on a portfolio allocation strategy. Ocean Engineering, 295, 116842.
  • Meng, D., Yang, S., De Jesus, A. M. P., Fazeres-Ferradosa, T., & Zhu, S.-P. (2023). A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopole. Computer Methods in Applied Mechanics and Engineering, 412, 116083.
  • Meng, D., Yang, S., De Jesus, A. M. P., & Zhu, S.-P. (2023). A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower. Renewable Energy, 203, 407–420.
  • Meng, D., Li, Y., He, C., Guo, J., Lv, Z., & Wu, P. (2021). Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling. Materials & Design, 206, 109789.
  • Luo, C., Zhu, S.-P., Keshtegar, B., Macek, W., Branco, R., & Meng, D. (2024). Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy. Computer Methods in Applied Mechanics and Engineering, 423, 116863.
  • Yang, S., De Jesus, A. M. P., Meng, D., Nie, P., Darabi, R., Azinpour, E., Zhu, S.-P., & Wang, Q.* (2024). Very high-cycle fatigue behavior of steel in hydrogen environment: State of the art review and challenges. Engineering Failure Analysis, In Press, 108898.
  • Yang, S., He, Z., Chai, J., Meng, D.*, Macek, W., Branco, R., & Zhu, S.-P. (2023). A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study. Structures, 58, 105665.
  • Yang, S., Meng, D.*, Wang, H., & Yang, C. (2024). A novel learning function for adaptive surrogate-model-based reliability evaluation. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 382, 20220395.
  • Meng, D., Yang, S., He, C., Wang, H., Lv, Z., Guo, Y., & Nie, P. (2022). Multidisciplinary design optimization of engineering systems under uncertainty: A review. International Journal of Structural Integrity, 13(4), 565–593.
  • Keshtegar, B., Bagheri, M., Meng, D., Kolahchi, R., & Trung, N.-T. (2021). Fuzzy reliability analysis of nanocomposite ZnO beams using hybrid analytical-intelligent method. Engineering with Computers, 37(4), 2575–2590.
  • Keshtegar, B., Meng, D., Ben Seghier, M. E. A., Xiao, M., Trung, N.-T., & Bui, D. T. (2021). A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization. Engineering with Computers, 37(3), 1695–1708.
  • Meng, D., Xie, T., Wu, P., Zhu, S.-P., Hu, Z., & Li, Y. (2020). Uncertainty-based design and optimization using first order saddlepoint approximation method for multidisciplinary engineering systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(3), 04020028.
  • Meng, D., Hu, Z., Wu, P., Zhu, S.-P., Correia, J. A. F. O., & De Jesus, A. M. P. (2020). Reliability-based optimization for offshore structures using saddlepoint approximation. Proceedings of the Institution of Civil Engineers – Maritime Engineering, 173(2), 33–42.
  • Meng, D., Yang, S., Zhang, Y., & Zhu, S.-P. (2019). Structural reliability analysis and uncertainties-based collaborative design and optimization of turbine blades using surrogate model. Fatigue & Fracture of Engineering Materials & Structures, 42(6), 1219–1227.
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