269 research outputs found
Assessment of risk due to the use of carbon fiber composites in commercial and general aviation
The development of a national risk profile for the total annual aircraft losses due to carbon fiber composite (CFC) usage through 1993 is discussed. The profile was developed using separate simulation methods for commercial and general aviation aircraft. A Monte Carlo method which was used to assess the risk in commercial aircraft is described. The method projects the potential usage of CFC through 1993, investigates the incidence of commercial aircraft fires, models the potential release and dispersion of carbon fibers from a fire, and estimates potential economic losses due to CFC damaging electronic equipment. The simulation model for the general aviation aircraft is described. The model emphasizes variations in facility locations and release conditions, estimates distribution of CFC released in general aviation aircraft accidents, and tabulates the failure probabilities and aggregate economic losses in the accidents
An assessment of the risk arising from electrical effects associated with carbon fibers released from commercial aircraft fires
The risks associated with electrical effects arising from carbon fibers released from commercial aviation aircraft fires were estimated for 1993. The expected annual losses were estimated to be about 100,000 (1977 dollars) in 1993 were established to be about one in ten thousand
A comparison of estimators for the two-point correlation function
Nine of the most important estimators known for the two-point correlation
function are compared using a predetermined, rigorous criterion. The indicators
were extracted from over 500 subsamples of the Virgo Hubble Volume simulation
cluster catalog. The ``real'' correlation function was determined from the full
survey in a 3000Mpc/h periodic cube. The estimators were ranked by the
cumulative probability of returning a value within a certain tolerance of the
real correlation function. This criterion takes into account bias and variance,
and it is independent of the possibly non-Gaussian nature of the error
statistics. As a result for astrophysical applications a clear recommendation
has emerged: the Landy & Szalay (1993) estimator, in its original or grid
version Szapudi & Szalay (1998), are preferred in comparison to the other
indicators examined, with a performance almost indistinguishable from the
Hamilton (1993) estimator.Comment: aastex, 10 pages, 1 table, 1 figure, revised version, accepted in
ApJ
High resolution charge-exchange spectroscopic measurements of aluminum impurity ions in a high temperature plasma
Charge-exchange recombination spectroscopy, which is generally used to measure low-Z impurities in fusion devices, has been used for measuring Al+11 and Al+13 impurities in the Madison Symmetric Torus reversed field pinch. To obtain the impurity ion temperature, the experimental emission spectrum is fitted with a model which includes fine structure in the atomic transition. Densities of these two ionization states, calculated from charge-exchange emission brightness, are used in combination with a collisional radiative model to estimate the abundance of all other charge states of aluminum in the plasma and the contribution of aluminum to the effective ionic charge of the plasma
Publisher’s Note: “Dispersion calibration for the National Ignition Facility electron–positron–proton spectrometers for intense laser matter interactions” [Rev. Sci. Instrum. 92, 033516 (2021)] (Rev. Sci. Instrum. 92, 059902 (2021)
Electron-positron pairs, produced in intense laser-solid interactions, are
diagnosed using magnetic spectrometers with image plates, such as the National
Ignition Facility (NIF) Electron Positron Proton Spectrometers (EPPS). Although
modeling can help infer the quantitative value, the accuracy of the models
needs to be verified to ensure measurement quality. The dispersion of
low-energy electrons and positrons may be affected by fringe magnetic fields
near the entrance of the EPPS. We have calibrated the EPPS with six electron
beams from a Siemens Oncor linear accelerator (linac) ranging in energy from
-- as they enter the spectrometer. A Geant4 TOPAS
Monte-Carlo simulation was set up to match depth dose curves and lateral
profiles measured in water at source-surface distance. An
accurate relationship was established between the bending magnet current
setting and the energy of the electron beam at the exit window. The simulations
and measurements were used to determine the energy distributions of the six
electron beams at the EPPS slit. Analysis of the scanned image plates together
with the determined energy distribution arriving in the spectrometer provide
improved dispersion curves for the EPPS.Comment: Published in Review of Scientific Instruments, 5 pages, 3 figures,
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Measurements of Extended Magnetic Fields in Laser-Solid Interaction
Magnetic fields generated from a laser-foil interaction are measured with
high fidelity using a proton radiography scheme with in situ x-ray fiducials.
In contrast to prior findings under similar experimental conditions, this
technique reveals the self-generated, Biermann-battery fields extend beyond the
edge of the expanding plasma plume to a radius of over 3.5 mm by t=+1.4 ns, a
result not captured in state-of-the-art magneto-hydrodynamics simulations. An
analysis of two mono-energetic proton populations confirms that proton
deflection is dominated by magnetic fields far from the interaction (>2 mm) and
electric fields are insignificant. Comparisons to prior work suggest a new
physics mechanism for the magnetic field generation and transport in
laser-solid interactions.Comment: 9 pages, 8 figure
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The perpendicular electron energy flux driven by magnetic fluctuations in the edge of TEXT-U
A fast bolometer was used for direct measurements of parallel electron energy flux in the edge of TEXT-U. The fluctuating component of the parallel electron energy flux, combined with a measurement of magnetic fluctuations, provides an upper limit to the perpendicular electron flux. This magnetically driven energy flux cannot account for the observed energy flux
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