12,579 research outputs found

    Campus Update: June 1990 v. 2, no. 6

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    Monthly newsletter of the BU Medical Campu

    Campus Update: March 1991 v. 3, no. 3

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    Monthly newsletter of the BU Medical Campu

    Campus Update: September 1991 v. 3, no. 8

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    Monthly newsletter of the BU Medical Campu

    Campus Update: June/July 1991 v. 3, no. 6

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    Monthly newsletter of the BU Medical Campu

    Campus Update: January 1991 v. 3, no. 1

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    Monthly newsletter of the BU Medical Campu

    Campus Update: May 1991 v. 3, no. 5

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    Monthly newsletter of the BU Medical Campu

    Campus Update: July/August 1990 v. 2, no. 6

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    Monthly newsletter of the BU Medical CampusNote: misnumbered v. 3, no.

    Flame Instability and Transition to Detonation in Supersonic Reactive Flows

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    Multidimensional numerical simulations of a homogeneous, chemically reactive gas were used to study ignition, flame stability, and deflagration-to-detonation transition (DDT) in a supersonic combustor. The configuration studied was a rectangular channel with a supersonic inflow of stoichiometric ethylene-oxygen and a transimissive outflow boundary. The calculation is initialized with a velocity in the computational domain equal to that of the inflow, which is held constant for the duration of the calculation. The compressible reactive Navier-Stokes equations were solved by a high-order numerical algorithm on an adapting mesh. This paper describes two calculations, one with a Mach 3 inflow and one with Mach 5.25. In the Mach 3 case, the fuel-oxidizer mixture does not ignite and the flow reaches a steady-state oblique shock train structure. In the Mach 5.25 case, ignition occurs in the boundary layers and the flame front becomes unstable due to a Rayleigh-Taylor instability at the interface between the burned and unburned gas. Growth of the reaction front and expansion of the burned gas compress and preheat the unburned gas. DDT occurs in several locations, initiating both at the flame front and in the unburned gas, due to an energy-focusing mechanism. The growth of the flame instability that leads to DDT is analyzed using the Atwood number parameter

    The marginalization paradox and the formal Bayes' law

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    It has recently been shown that the marginalization paradox (MP) can be resolved by interpreting improper inferences as probability limits. The key to the resolution is that probability limits need not satisfy the formal Bayes' law, which is used in the MP to deduce an inconsistency. In this paper, I explore the differences between probability limits and the more familiar pointwise limits, which do imply the formal Bayes' law, and show how these differences underlie some key differences in the interpretation of the MP.Comment: Presented at Maxent 2007, Saratoga Springs, NY, July 200
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