Award Abstract # 0604600
Discrete Networks and Singular Phenomena in Heterogeneous Media

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: THE PENNSYLVANIA STATE UNIVERSITY
Initial Amendment Date: May 19, 2006
Latest Amendment Date: May 9, 2008
Award Number: 0604600
Award Instrument: Continuing Grant
Program Manager: Michael Steuerwalt
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: June 1, 2006
End Date: May 31, 2009 (Estimated)
Total Intended Award Amount: $116,480.00
Total Awarded Amount to Date: $116,480.00
Funds Obligated to Date: FY 2006 = $79,351.00
FY 2008 = $37,129.00
History of Investigator:
  • Alexei Novikov (Principal Investigator)
Recipient Sponsored Research Office: Pennsylvania State Univ University Park
201 OLD MAIN
UNIVERSITY PARK
PA  US  16802-1503
(814)865-1372
Sponsor Congressional District: 15
Primary Place of Performance: Pennsylvania State Univ University Park
201 OLD MAIN
UNIVERSITY PARK
PA  US  16802-1503
Primary Place of Performance
Congressional District:
15
Unique Entity Identifier (UEI): NPM2J7MSCF61
Parent UEI:
NSF Program(s): APPLIED MATHEMATICS,
COFFES
Primary Program Source: app-0106 
01000809DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 0000, OTHR
Program Element Code(s): 126600, 755200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Novikov
DMS-0604600

The investigator studies thermal, elastic and other
effective properties of high-contrast two-phase particulate
composites where concentration of inclusions in the matrix is
high. He uses their fundamental property: the dominant
contribution to the rate of thermal dissipation, elastic energy
and other bulk properties comes from the areas between closely
spaced particles. This allows to develop Discrete Network
Approximations to effective properties of a composite. The main
goal of the project is to develop rigorous mathematical
foundations for these approximations. The investigator studies
the concept of a Perforated Composite as the key step in his
analysis. This concept allows to develop the discrete network
method into an effective and attractive tool for analysis and
applications. He applies this concept to determine effective
elastic properties of particulate composites, conductivity of
strongly nonlinear composites, and rate of viscous dissipation in
highly concentrated suspensions.

The investigator studies a class of heterogeneous media such
as ocean flows, oil-bearing sands, particle-reinforced and
fiber-reinforced composites, mud and blood among others. These
media are ubiquitous and characterization of their properties is
paramount for development of new technologies and materials.
Experimental studies of many such media are impossible or
prohibitively expensive. Computational studies of such media
often are beyond our current capabilities. The investigator
characterizes analytically these media as networks, which allows
developing reliable and effective reduced models amenable to
further analysis and numerical simulations. Such models help to
assess thermal and elastic properties of ceramics/polymer
composites, augmented transport of plasma proteins in blood, and
the spreading of pollutants in ocean.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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A.Novikov, D.Bodony "Multiscale modeling of subgrid scale stresses in the large-eddy simulation" Proceedings of the 2006 Summer Program , 2006 , p.99
Berlyand, L; Bruno, O; Novikov, A "RISE OF CORRELATIONS OF TRANSFORMATION STRAINS IN RANDOM POLYCRYSTALS" SIAM JOURNAL ON MATHEMATICAL ANALYSIS , v.40 , 2008 , p.1550 View record at Web of Science 10.1137/07067968
Constantin, P; Novikov, A; Ryzhik, L "Relaxation in Reactive Flows" GEOMETRIC AND FUNCTIONAL ANALYSIS , v.18 , 2008 , p.1145 View record at Web of Science 10.1007/s00039-008-0685-
Rai, V; Pitsch, H; Novikov, A "Efficient dynamic Monte Carlo algorithm for time-dependent catalytic surface chemistry" PHYSICAL REVIEW E , v.74 , 2006 View record at Web of Science 10.1103/PhysRevE.74.04670
V.Rai, H.Pitsch, A.Novikov "Efficient dynamic Monte Carlo algorithm for time-dependent catalytic surface chemistry" Phys. Rev. E , v.74 , 2006 , p.046707

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