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Department of Mechanical Engineering
PostDoc Researcher

Dr. Zhouzhou Song

 

Email: zhouzhou.song@tu-dortmund.de

Room: Maschinenbaugebäude 1, Raum U04

Google Scholar: Link 

ResearchGate: Link 

© CRE

Research interests

  • Uncertainty quantification
  • Structural reliability analysis and reliability-based design optimization
  • Scientific machine learning
  • Digital Twin

Further Information

  • 2024-now: Alexander von Humboldt Postdoctoral Fellow, Chair for Reliability Engineering, TU Dortmund University, Germany
  • 2019-2024: Doctoral Student, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • 2023-2024: Visiting Doctoral Student, Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore
  • 2015-2019: Bachelor Student, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
  • Scholarship for excellent Ph.D. students, Shanghai Jiao Tong University (2022)
  • Excellent graduate, Huazhong University of Science and Technology (2019)
  • Distinguished student, Huazhong University of Science and Technology (2016)
  1. Song, Z., Zhang,H., Zhai, Q., Zhang, B., Liu, Z., Zhu, P. (2024): A dimension reduction-based Kriging modeling method for high-dimensional time-variant uncertainty propagation and global sensitivity analysis. Mechanical Systems and Signal Processing, 219: 111607.
  2. Song, Z., Liu, Z., Zhang, H., Zhu, P. (2024): An improved sufficient dimension reduction-based Kriging modeling method for high-dimensional evaluation-expensive problems. Computer Methods in Applied Mechanics and Engineering, 418: 116544.
  3. Song, Z., Zhang, H., Liu, Z, Zhu, P. (2023): A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization. Reliability Engineering & System Safety, 237: 109339.
  4. Song, Z., Zhang, H., Zhang, L., Liu, Z., Zhu, P. (2022): An estimation variance reduction-guided adaptive Kriging method for efficient time-variant structural reliability analysis. Mechanical Systems and Signal Processing, 178 (1): 109322.