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Self-Consistent Multiscale Theory of Internal Wave, Mean-Flow Interactions
Author(s) -
Darryl D. Holm,
Alejandro Aceves,
Jeffrey S. Allen,
Mark Alber,
Roberto Camassa,
Hernán Cendra,
S. Chen,
Jinqiao Duan,
Bruce R. Fabijonas,
Ciprian Foiaş,
Oliver B. Fringer,
Peter R. Gent,
Richard W. Jordan,
S. Kouranbaeva,
Gregor Kovačič,
C. David Levermore,
Grant Lythe,
Alexander Lifschitz,
Jerrold E. Marsden,
L.G. Margolin,
P. A. Newberger,
Eric J. Olson,
Tudor S. Raţiu,
Steve Shkoller,
Ilya Timofeyev,
Edriss S. Titi,
S. Wynn
Publication year - 1999
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/763237
Subject(s) - nonlinear system , fluid dynamics , turbulence , statistical physics , computer science , dynamical systems theory , flow (mathematics) , chaotic , geophysical fluid dynamics , nonlinear dynamical systems , mathematics , physics , mechanics , artificial intelligence , quantum mechanics
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at Los Alamos National Laboratory (LANL). The research reported here produced new effective ways to solve multiscale problems in nonlinear fluid dynamics, such as turbulent flow and global ocean circulation. This was accomplished by first developing new methods for averaging over random or rapidly varying phases in nonlinear systems at multiple scales. We then used these methods to derive new equations for analyzing the mean behavior of fluctuation processes coupled self consistently to nonlinear fluid dynamics. This project extends a technology base relevant to a variety of multiscale problems in fluid dynamics of interest to the Laboratory and applies this technology to those problems. The project's theoretical and mathematical developments also help advance our understanding of the scientific principles underlying the control of complex behavior in fluid dynamical systems with strong spatial and temporal internal variability

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