Hayley H. Shen
132 Rowley Lab
PO Box 5755
Potsdam, NY 13699-5710
B.Sc., National Taiwan University (1972)
M.S., University of Iowa (1974)
Ph.D., University of Iowa (1976) Clarkson University (1982)
Dr. Shen is a faculty advisor for the Tau Beta Pi.
Courses taught include:
Coastal Engineering, Advanced Fluid Mechanics, Groundwater and Seepage, Sediment Transport, River and Estuarine Hydraulics, Hydrodynamic Dispersion, Continuum Mechanics, Nonlinear Mechanics, Discrete Element Method
Statics, Dynamics, Engineering for Non-Engineers, Introduction to Fluid Mechanics, Introduction to Engineering Use of Computers, Calculus II, Elementary Differential Equation, Fourier Series and Boundary Value Problems, Chaos and Coherency (Honors Science Course), Climate Change Impacts on Cold Regions (Honors Science Course)
Dr. Shen's research areas are in granular mechanics and sea ice dynamics. Below are several current project areas.
Wave Propagation under Ice Covers
Arctic ice reduction is the most well-known consequence of climate change. Increased open water area enhances wind fetch thus amplifies the wave intensity. The escalation of waves in the Arctic has unforeseen effects on the formation and decay processes of sea ice, ocean mixing and stratification, coastal erosion, and possibly the Arctic ecosystem. All existing wave forecast models need to be improved to account for a dynamically changing ice covers. This study provides a rheological model for a broad range of ice covers. This model contains two parameters, viscosity and elasticity, both are related to the ice cover morphology. With these two parameters the attenuation and wave speed in different ice covers are determined. Current analysis focuses on the relation between the morphology and the viscoelastic properties of an ice cover, and the effect of various rheological models on the wave responses.
Pancake Ice Formation
Pancake ice is the first form of sea ice formation over open water in the polar and sub-polar oceans. Their formation is associated with waves. The size, thickness and the internal structure of the pancake ice affect heat and momentum transfer between air and ocean, and the marine biology that lives off the sea ice. This study utilizes theoretical analysis, computer simulation, and field observations in the Arctic and Antarctic, as well as laboratory experiments to determine the relation between the pancake ice floe size and the wave field, and the equilibrium ice cover thickness due to wave rafting.
Transitional Granular Flows
Granular materials can behave like a solid as in a sand pile, a liquid as in a landslide, or a gas as in a dust storm. Many industrial applications require processing granular materials that can only be design by trial-and-error. This is because unlike a regular fluid, granular materials can "solidify, melt, and evaporate" abruptly. Many industries suffer equipment failure due to the lack of understanding of how granular materials transition from one regime to the other. Future human explorations to the moon and Mars require in-situ resource utilization. Thus a better understanding of granular materials is needed to enable precise control and engineering work involving these materials.
Scaling Laws in Granular Shear Flows
Discrete Element Method (DEM) has been used successfully to simulate granular flows. However, the particle count limitation is a perpetual constraint. For any ordinary granular system such as shoveling a sand pile, it is common to have particle numbers on the order of 1015, which requires 4-5 orders of magnitude more memory storage than is available in the largest super-computers. Coarsening of particles so that larger virtual particles can replace the actual size of the small particles is an effective way to deal with this problem. In this study the guidelines for the coarsening strategy is investigated.
Wang, R. and Shen, H.H. (2013) On developing a continuum model for wave propagation in ice-covered seas. Coastal Hazards – Selected papers from EMI 2010 (eds. Huang, W.,Wang, K.-H., and Cheng, J.) pp. 24-32, doi: http://dx.doi.org/10.1061/9780784412664.003.
Orlando, A.D., Shen, H.H. (2013) Using the Annular Shear Cell as a Rheometer for Rapidly Sheared Granular Materials – A DEM Study, Granular Matter, doi: 10.1007/s10035-013-0401-4.
Orlando, A., Shen, H.H. (2012) Effect of particle size and boundary conditions on the shear stress in an annular shear cell, Granular Matter, doi: 10.1007/s10035-012-0313-8.
Sun, S. and Shen, H.H. (2012) Simulation of pancake ice load on a circular cylinder in a wave and current field. Cold Regions Science and Technology, doi:10.1016/j.coldregions.2012.02.003.
Wang, R. and Shen, H.H. (2011) A continuum model for the linear wave propagation in ice-covered oceans: an approximate solution, Ocean Modelling, doi:10.1016/j.ocemod.2011.04.002
Orlando, A. and Shen, H.H. (2010) Effect of rolling friction on binary collisions of spheres, Physics of Fluids, 22(3). doi: 10.1063/1.3349728
Wang, R. and Shen, H.H. (2010) Gravity waves propagating into ice-covered ocean: a visco-elastic model. Journal of Geophysical Research - Oceans, 115(C06024)
Wang, R. and Shen, H.H. (2010) Experimental study on surface wave propagating through a grease-pancake ice mixture. Cold Regions Science and Technology, doi:10.1016/j.coldregions.2010.01.011.
Helenbrook, B. T., Powers, M., Shen, H. H., and Metzger, P. T. (2009) Modeling and Discrete Element Simulations of Elastic-Quasi-Static Granular Flow in a Compressing Slot, ASCE J. Aerospace Engineering, 22(4):415-422, doi 10.1061/(ASCE)0893-1321(2009)22:4(415)).
Ji, S, Hanes, D.M., and Shen, H.H. (2009) Comparisons of Physical Experiment and Discrete Element Simulations of Sheared Granular Materials in an Annular Shear Cell, Int. Journal Mechanics of Materials. doi:10.1016/j. mechmat 2009 01 029, 41(6):764-776.
Ji, S. and Shen, H.H. (2008) Internal Parameters and Regime Map for Soft Polydispersed Granular Materials, J. Rheology. 52(1):87-103, doi: 10.1122/1.2807441.