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NASA Scientific and Technical Aerospace Reports

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capabilities <strong>and</strong> will be applied in fundamental simulations of various plasma discharges.<br />

DTIC<br />

Models; Nonequilibrium Flow; Plasma Equilibrium<br />

20040111615 Wyle Labs., Inc., Arlington, VA<br />

Noise Data Acquisition <strong>and</strong> Display System (NDADS3) User’s Guide <strong>and</strong> Tutorial<br />

Page, Juliet A.; May 1999; 120 pp.; In English<br />

Contract(s)/Grant(s): F41624-95-C-6014; Proj-7184<br />

Report No.(s): AD-A425706; AFRL-HE-WP-TR-2004-0068; No Copyright; Avail: CASI; A06, Hardcopy<br />

The Noise Data Acquisition <strong>and</strong> Display System (NDADS) is an interactive tool for the user-enhanced automation <strong>and</strong><br />

creation of flight tracks <strong>and</strong> profiles for noise analysis based on radar tracking data. The NDADS system features graphical<br />

methods for the rapid creation of vectored flight tracks with statistical guidance via gate penetrations <strong>and</strong> visual references<br />

based on background maps. Profiles, including altitude, velocity, <strong>and</strong> power, critical for the evaluation of noise contours, may<br />

also be generated easily. NDADS generates files which may be read directly into the NMAP Noise Analysis system. This<br />

document describes the NDADS Version 3, which supports NMAP 5 <strong>and</strong> NMAP 7 formats, <strong>and</strong> instructs the user towards the<br />

development of aircraft flight tracks <strong>and</strong> profiles.<br />

DTIC<br />

Data Acquisition; Display Devices; Flight Paths<br />

20040111679 Naval Research Lab., Washington, DC<br />

Simulation Environment for Onboard Fire Network Model Version 1.0 - User’s Manual<br />

Haupt, Thomasz A.; Shulga, Dmitry; Sura, Bhargavi; Durvasula, Shravan K.; Tatem, Patricia A.; Jun. 2, 2004; 28 pp.; In<br />

English; Original contains color illustrations<br />

Report No.(s): AD-A425810; NRL/MR/6180--04-8801; No Copyright; Avail: CASI; A03, Hardcopy<br />

The collaborative work of Hughes Associates, Inc. (HAI), the Naval Research Laboratory (NRL), <strong>and</strong> a group at<br />

Mississippi State University resulted in developing a simulation system including Graphical User Interface (GUI) <strong>and</strong><br />

visualization. The simulation environment provides a runtime environment for a third-party simulation package currently<br />

FSSIM developed by HAI. This user’s manual for the viewer provides documentation of the GUI layout <strong>and</strong> detailed<br />

discussion of features of the output display.<br />

DTIC<br />

Dynamic Structural Analysis; Fire Prevention; Fires; Marine Technology; Simulation; Systems Engineering; User Manuals<br />

(Computer Programs)<br />

20040111683 Naval Research Lab., Washington, DC<br />

Fire <strong>and</strong> Smoke Simulator (FSSIM) Version 1 - User’s Guide<br />

Floyd, Jason E.; Hunt, Sean P.; Tatem, Patricia A.; Williams, Frederick W.; Jul. 16, 2004; 108 pp.; In English<br />

Report No.(s): AD-A425816; NRL/MR/6180--04-8806; No Copyright; Avail: CASI; A06, Hardcopy<br />

Several computational tools exist for examining fire effects that can be applied to a ship <strong>and</strong> its crew. H<strong>and</strong> calculations<br />

can be used to examine simple scenarios in single compartments. Zone models are also suitable for more complex,<br />

time-dependent scenarios involving multiple compartments <strong>and</strong> levels, but stability can be a problem for multilevel scenarios,<br />

scenarios with Heating, Ventilation, <strong>and</strong> Air Conditioning (HVAC) systems, <strong>and</strong> for post-flashover conditions. Computational<br />

fluid dynamics (CFD) models can yield detailed information about temperatures, heat fluxes, <strong>and</strong> species concentrations;<br />

however, the time penalty of this approach currently makes using CFD unfeasible for long periods of real time or large<br />

computational domains. Another class of models has traditionally played supporting roles in fire modeling. This class is<br />

constituted by a variety of network models, which are used for ventilation systems in buildings or fluid flow in piping<br />

networks. These models lack specific physics required for fire modeling. Therefore, to meet the computational speed <strong>and</strong><br />

algorithm requirements, it was decided to develop Fire <strong>and</strong> Smoke Simulator (FSSIM) as a network fire model. This document<br />

(User’s Guide) discusses creation of FSSIM input files, including guidance in transforming a prototype structure to a network<br />

representation, <strong>and</strong> explains the available outputs.<br />

DTIC<br />

Computer Programming; Fire Prevention; Fires; Simulators; Smoke; Software Engineering<br />

244

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