Haining Zheng, PhD
77 Massachusetts Ave
Cambridge, MA, USA 02139
Phone : +1-617-223-3947
Newly available online!
- PhD Thesis: The Influence of High Harmonic Force on Fatigue Life and its Prediction via Coupled Inline-Crossflow VIV Modeling
- Journal Paper: On fatigue damage of long flexible cylinders due to the higher harmonic force components and chaotic vortex-induced vibrations
I hold a PhD in Mechanical Engineering and Computation from MIT. I enjoy paper reading and would like to keep up with the latest research. If you need manuscripts review for your journal or conference, please contact me. My research interest includes:
- Fluid Structure Interaction, Vortex Induced Vibration
- Oceanographic Modeling and Adaptive Sampling in Coastal Zone Environment, Algorithms Develop, Modeling and Sea Trials
- Computational Solid Mechanics
- Welding Science and Technology
- Numerical Methods & Operation Research
My PhD research at MIT focuses on Vortex Induced Vibration (VIV), which is a major factor affecting all stages of development of offshore structures. My major contribution is the development of 2D VIV Hydrodynamics Coefficients Database "ZDMiT" and a coupled Inline-crossflow rigid cylinder response model to predict coupled Inline-Crossflow VIV motion and high harmonic VIV forces. I defended my PhD thesis "The Influence of High Harmonic Force on Fatigue Life and its Prediction via Coupled Inline-Crossflow VIV Modeling" in September 2013. My PhD advisor was Professor Michael S. Triantafyllou in the Center for Ocean Engineering at Mechanical Engineering Department of Massachusetts Institute of Technology (MIT).
"ZDMiT", also known as the 2 Degree of Freedom (2DOF) VIV hydrodynamics coefficients database at MIT, is named after the research team under the supervision of Professor Michael S. Triantafyllou at MIT (Zheng ~Dahl ~ Modarres-Sadeghi ~ Triantafyllou) and based on Zheng 2011 and Dahl 2006 inline-crossflow forced vibration experiments at the MIT towing tank. The 2D VIV hydrodynamics coefficients database "ZDMiT" is expected to be widely used by semi-empirical programs to predict coupled inline-crossflow VIV in the field. I also created a coupled inline-crossflow VIV model of an elastically mounted rigid cylinder to predict the inline and crossflow motion frequency, amplitude, and the phase between the inline and crossflow motion and higher harmonic forces.
I had managed the VIV Data Repository, a joint project with major offshore companies and academia and hosted by MIT. It offers researchers and engineers extensive data sets from simplified laboratory experiment to full-scale for design, modeling and benchmarking.
I also worked with Prof. Nick Patrikalakis on developing and testing algorithms for planning cooperative adaptive sampling of the coastal zone ocean environment via multiple autonomous underwater vehicles (AUVs) and autonomous surface craft (ASCs). The sampling network includes oceanographic/chemical/biological sensors mounted on these vehicles, buoys and sea floor. I also participated in sea trials, data analysis and cooperating on data assimilation, numerical ocean modeling and forecasting.
I received my Master of Science in Computation for Design and Optimization, MIT, under the supervision of Professor Klaus-Jurgen Bathe from MIT Mechanical Engineering Department in September 2008. My MS thesis is "On the predictive capability and stability of rubber material models".
Prior to my graduate studies abroad, I obtained my dual Bachelor Degree of Mechanical Engineering & Automation and Computer Application from Shanghai Jiao Tong University (SJTU), China.