12,579 research outputs found
Campus Update: June 1990 v. 2, no. 6
Monthly newsletter of the BU Medical Campu
Campus Update: March 1991 v. 3, no. 3
Monthly newsletter of the BU Medical Campu
Campus Update: September 1991 v. 3, no. 8
Monthly newsletter of the BU Medical Campu
Campus Update: June/July 1991 v. 3, no. 6
Monthly newsletter of the BU Medical Campu
Campus Update: January 1991 v. 3, no. 1
Monthly newsletter of the BU Medical Campu
Campus Update: May 1991 v. 3, no. 5
Monthly newsletter of the BU Medical Campu
Campus Update: July/August 1990 v. 2, no. 6
Monthly newsletter of the BU Medical CampusNote: misnumbered v. 3, no.
Flame Instability and Transition to Detonation in Supersonic Reactive Flows
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
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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