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- By S. V. Poroseva, Svetlana V. Poroseva
- 2002

The Reynolds-stress transport equation (RSTE) includes the velocity/pressure-gradient correlation < p,jui >. Following Rotta (1951), it is common practice to split this correlation into two parts: the pressure-strain correlation < pui,j > and the pressure-diffusion part < pui >,j . This approach has advantages if one simulates homogeneous turbulence with a… (More)

Results of any computations are of practical use only if information about their accuracy is also available. This is especially true in forecasting hurricane paths, where the prediction accuracy is of vital importance. Yet, most current forecasts lack such information One way to assess the accuracy of a forecast is to identify and describe all sources of… (More)

Many partitioning methods may be used to partition a network into smaller clusters while minimizing the number of cuts needed. However, other considerations must also be taken into account when a network represents a real system such as a power grid. In this paper we use a simulated annealing Monte Carlo (MC) method to optimize initial clusters on the… (More)

- Bryan W Kaiser, Bryan E. Kaiser, Svetlana V. Poroseva, Randall Truman, Peter Vorobieff
- 2016

High-order zero-pressure-gradient turbulent boundary layer statistics are important for turbulence modeling efforts and insight into the nature of turbulent flow. In this thesis, a complete database of third-, fourth-, and fifth-order central velocity moments is presented. The statistics were extracted from flow field data from a finely resolved direct… (More)

- Svetlana V. Poroseva, M. Yousuff Hussaini, Reda R. Mankbadi
- 2011

The paper presents an approach based on Dempster-Shafer theory of evidence to quantify uncertainty in flight plan trajectories. The approach is developed for 4D aircraft trajectories. However, as the full data set (latitude, longitude, altitude vs. time) for flight plan trajectories is not publicly available, only uncertainty in the horizontal projection… (More)

- Svetlana V. Poroseva, Per Arne Rikvold
- ArXiv
- 2012

Engineering networks fall into the category of large-scale networks with heterogeneous nodes such as sources and sinks. The survivability analysis of such networks requires the analysis of the connectivity of the network components for every possible combination of faults to determine a network response to each combination of faults. From the computational… (More)

Water power energy harvesting has become an important and growing industry supported by research and significant interest and impetus from the government and commercial sector. Due to water’s high power density, marine current energy is an attractive addition to other renewable energy technologies. That said, there is still much to be understood about the… (More)

- Svetlana V. Poroseva
- ArXiv
- 2011

In Nature, the primary goal of any network is to survive. This is less obvious for engineering networks (electric power, gas, water, transportation systems etc.) that are expected to operate under normal conditions most of time. As a result, the ability of a network to withstand massive sudden damage caused by adverse events (or survivability) has not been… (More)

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