Academic Appointments


  • Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)

Stanford Advisees


  • Doctoral Dissertation Reader (NonAC)
    Kevin Griffin

All Publications


  • Direct Numerical Simulation and Large Eddy Simulation of Laminar Separation Bubbles at Moderate Reynolds Numbers JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Cadieux, F., Domaradzki, J. A., Sayadi, T., Bose, S. 2014; 136 (6)

    View details for DOI 10.1115/1.4023787

    View details for Web of Science ID 000335951200003

  • An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements JOURNAL OF EXPERIMENTAL BIOLOGY Dabiri, J. O., Bose, S., Gemmell, B. J., Colin, S. P., Costello, J. H. 2014; 217 (3): 331-336

    Abstract

    We describe and characterize a method for estimating the pressure field corresponding to velocity field measurements such as those obtained by using particle image velocimetry. The pressure gradient is estimated from a time series of velocity fields for unsteady calculations or from a single velocity field for quasi-steady calculations. The corresponding pressure field is determined based on median polling of several integration paths through the pressure gradient field in order to reduce the effect of measurement errors that accumulate along individual integration paths. Integration paths are restricted to the nodes of the measured velocity field, thereby eliminating the need for measurement interpolation during this step and significantly reducing the computational cost of the algorithm relative to previous approaches. The method is validated by using numerically simulated flow past a stationary, two-dimensional bluff body and a computational model of a three-dimensional, self-propelled anguilliform swimmer to study the effects of spatial and temporal resolution, domain size, signal-to-noise ratio and out-of-plane effects. Particle image velocimetry measurements of a freely swimming jellyfish medusa and a freely swimming lamprey are analyzed using the method to demonstrate the efficacy of the approach when applied to empirical data.

    View details for DOI 10.1242/jeb.092767

    View details for Web of Science ID 000331204100012

    View details for PubMedID 24115059

  • A dynamic slip boundary condition for wall-modeled large-eddy simulation PHYSICS OF FLUIDS Bose, S. T., Moin, P. 2014; 26 (1)

    View details for DOI 10.1063/1.4849535

    View details for Web of Science ID 000331215200039

  • Large-eddy simulation of turbulent channel flow using explicit filtering and dynamic mixed models PHYSICS OF FLUIDS Singh, S., You, D., Bose, S. T. 2012; 24 (8)

    View details for DOI 10.1063/1.4745007

    View details for Web of Science ID 000308417000038

  • Using singular values to build a subgrid-scale model for large eddy simulations PHYSICS OF FLUIDS Nicoud, F., Toda, H. B., Cabrit, O., Bose, S., Lee, J. 2011; 23 (8)

    View details for DOI 10.1063/1.3623274

    View details for Web of Science ID 000294483500034

  • Grid-independent large-eddy simulation using explicit filtering PHYSICS OF FLUIDS Bose, S. T., Moin, P., You, D. 2010; 22 (10)

    View details for DOI 10.1063/1.3485774

    View details for Web of Science ID 000283748900021