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PHD Scholarship in Wave-Ice Interaction, Civil and Environmental Engineering, Clarkson University, NY, US
A PhD student with full scholarship is needed to start Project description: Due to the rapid reduction of Arctic ice, nearly entirely covered ocean surface in the past is now subject to wind force. Previously inconsequential wave effects from the increased wind fetch is becoming significant. However, present wave forecast models do not include wave-ice interactions. To enable navigation through the Arctic, as well as hydrocarbon and other mineral explorations, these forecast models must be further improved. In this project, we need to establish a wave propagation model in ice-covered seas. Presuming various ice covers may be characterized as different viscoelastic materials, a mathematical model has been built to determine gravity wave dispersion. This model needs to be tested, validated, and parameters identified. The current study includes using theoretical, field, remote sensing, and laboratory data. A vast amount of data source needs to be digested to select usable information. New data will be obtained from planned field, laboratory, and remote sensing sources. An inverse method will be used to relate the observation to the viscoelastic properties of different ice types. Three related papers that give the background of the current model are:
 
Zhao, X. and Shen, H.H. (2013) Ocean wave transmission and reflection between two connecting viscoelastic ice covers: an approximate solution, Ocean Modelling, doi:10.1016/j.ocemod.2013.04.002
Wang, R. and Shen, H.H. (2010) Gravity waves propagating into ice-covered ocean: a visco-elastic model. J. Geophys. Res. – Oceans, 115(C06024) doi:10.1029/2009JC005591.
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.
 
Required background for this PhD candidate (any combination of some of the following):
1. fluid mechanics
2. solid mechanics
3. computational methods
4. data analysis
5. experimental skills (data acquisition, instrumentation)
 
Contact: Prof. Hayley Shen, Civil & Environmental Engineering . More research details may be found at http://people.clarkson.edu/~hhshenanytime from fall 2013.
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