Long, Wu

PhD Student

Long Wu was born Feb, 25, 1988 in China. He obtained his bachelor and master degrees in Xi'an Jiaotong University from 2006 to 2013. His master research topic is: "Rotor dynamic analysis of welded rotor produced by DongFang Turbine company".

Long Wu is currently a PhD student in in the group of Structural Optimization and Mechanics (SOM) under the supervision of Prof. Fred van Keulen from TU delft and Dr. Paolo Tiso from ETH Zurich. His PhD project is: "Model order reduction methods for complicated structure with geometric nonlinearities"

From Oct. 2017 to Dec. 2017, he worked as a scientific assistant in ETH Zurich for the joint project "State estimation of geometrically non-linear 5MW/61.5m wind turbine blade reference model using reduced order models" with Prof. Eleni Chatzi and Dr. Tiso.

Nonlinear response analysis of the 5MW/61.5 m wind turbine blade reference model

Research

 2013-present

PhD research in Delft University of Technology: "Sub-structuring techniques and model order reduction for large system featuring geometric nonlinearity", the Netherlands.

  • Sub-structuring structure with proper interface reduction technique;
  • extending the model reduction basis with corresponding modal derivatives to consider the geometric nonlinearity;
  • applying the floating frame of reference to describe the overall motion as combination of rigid body motion and elastic deflection.

Oct.2017 - Dec. 2017

scientific assistance research project in ETH Zurich: "State estimation of geometrically non-linear 5MW/61.5 m wind turbine blade reference model using reduced order models", Switzerland.

  • Construct an elastic plate model of a 61.5m blade of the NREL 5MW wind turbine;
  • Implement floating frame and aerodynamic load to shell code;
  • Equipped with modal derivatives enhanced reduced model to gain computational savings.

Jun. 2016 - Jul. 2016

Summer Intern research in NOMAD Research Institute, Sandia National Laboratories.

  • Matlab programming of Interface reduction for Craig-Bampton substructure models to obtain computational savings;
  • review of all existing interface reduction methods for the realistic industrial FE model.
Interests
  • Nonlinear dynamics
  • Substructuring
  • Multibody dynamics
  • Finite element method
Publications
  1. Long Wu, Paolo Tiso. Nonlinear model order reduction for flexible multibody dynamics: a modal derivatives approach. Multibody System Dynamics. 2016, 36(4):405-425.
  2. Long Wu, Paolo Tiso and Fred van Keulen. Interface reduction with multilevel Craig- Bampton substructuring for component mode synthesis, 2018. AIAA journal. Accepted.
  3. Long Wu, Paolo Tiso, Fred Van Keulen: A modal derivatives enhanced Craig-Bampton method for geometrically nonlinear structural dynamics. In: Proceedings of ISMA 2016 International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics 2016, pp. 3615-3624.
  4. Long Wu, Paolo Tiso, Shobhit Jain, Fred Van Keulen: Quadratic manifolds for reduced-order modelling of highly flexible multibody systems. In: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015, Multibody Dynamics 2015 2015, pp. 422-430.
  5. Long Wu, Tiso, P.: Accuracy of the floating frame with nonlinear elastic expression: A comparative study. In: Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics 2014, pp. 2943-2950
  6. Long Wu, Paolo Tiso: Modal derivatives based reduction method for finite deflections in floating frame. In: 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014 2014, pp. 3125-3135.

Long Wu