Optimal Paths in Time-Varying Flow Fields

2021 ◽  
Author(s):  
Dhanushka N. Kularatne
Keyword(s):  
Flow Fields ◽  
Time Varying ◽  
Optimal Paths

scholarly journals A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields

2011 ◽  
Author(s):  
Tom Peterka ◽  
Robert Ross ◽  
Boonthanome Nouanesengsy ◽  
Teng-Yok Lee ◽  
Han-Wei Shen ◽  
...  
Keyword(s):  
Steady State ◽  
Flow Fields ◽  
Time Varying ◽  
Particle Tracing

Computing Energy Optimal Paths in Time-Varying Flows

2016 ◽  
Author(s):  
Dhanushka N. Kularatne ◽  
Subhrajit Bhattacharya ◽  
M. Ani Hsieh
Keyword(s):  
Flow Field ◽  
Configuration Space ◽  
Search Space ◽  
Ocean Model ◽  
Graph Representation ◽  
Energy Budgets ◽  
Time Varying ◽  
Marine Vehicles ◽  
Optimal Paths ◽  
Spatio Temporal

Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this paper, we present two graph search based methods to compute energy optimal paths for AMVs in two-dimensional (2-D) time-varying flows. The novelty of the proposed algorithms lies in a unique discrete graph representation of the 3-D configuration space spanned by the spatio-temporal coordinates. This enables a more efficient traversal through the search space, as opposed to a full search of the spatio-temporal configuration space. Furthermore, the proposed strategy results in solutions that are closer to the global optimal when compared to greedy searches through the spatial coordinates alone. We demonstrate the proposed algorithms by computing optimal energy paths around the Channel Islands in the Santa Barbara bay using time-varying flow field forecasts generated by the Regional Ocean Model System. We verify the accuracy of the computed paths by comparing them with paths computed via an optimal control formulation.

Recurrence of fragmenting granules and their relation to meso- and supergranular flow fields

2003 ◽  
Vol 9 ◽  
pp. 371-371
Author(s):  
Th. Roudier ◽  
F. Lignières ◽  
M. Rieutord ◽  
P. N. Brandt ◽  
J.-M. Malherbe
Keyword(s):  
Flow Fields
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