LVL Editor: A Graphical Tool for Visualizing and Managing Data in an Engineering Component Hierarchy

Lau, Eric; Wong, Jeremy; Kam, Jeremy Vander; Jiang, Xun; Palmer, Grant; Gage, Peter

doi:10.2514/6.2004-1173

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…The adherence to this schema ensures data consistency and integrity. A comprehensive treatment of LVL is given in References [7,11] and is also presented in two accompanying papers [14,15] Data presentation and reporting Another important advantage of using the LVL schema is that the implementation of a flexible framework for report generations becomes a direct fall out. The approach that is taken is to apply style sheets (which graphically present only the desired data in HTML format) directly to the LVL XML files.…”

Section: Xml Launch Vehicle Languagementioning

confidence: 99%

“…Another accompanying paper [15] covers a new application that has been specifically developed to view and edit LVL files. Recall that an instance of LVL, termed an iLVL, captures all salient data with respect to a particular process run.…”

Section: Capabilities Under Developmentmentioning

confidence: 99%

“…This non-trivial functionality has been the subject of considerable work under the AEE project [7,14,15] . Our resulting solution is referred to as LVL (or Launch Vehicle Language) and merits a detail description.…”

Section: Data Capture Control and Presentationmentioning

confidence: 99%

“…Its primary objective is the maturation of the necessary technologies for the near term (10)(11)(12)(13)(14)(15) year), mid-term (15-20 year) and far term (beyond 20 years) launch systems. The Program hopes to accomplish this maturation by funding the development of key technologies and studying the impacts of these technologies on candidate conceptual launch architectures.…”

Section: Introductionmentioning

confidence: 99%

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The Advanced Engineering Environment (AEE) Project for NASA's Next Generation Launch Technologies (NGLT) Program

Monell

Reuther

Garn

et al. 2004

42nd AIAA Aerospace Sciences Meeting and Exhibit

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An integrated, distributed engineering environment being used to analyze and design Reusable Launch Vehicles (RLVs) is presented. A foundation for the development of this environment is established through the presentation of a history of the project and the motivations for its continued development. It facilitates integration of the analysis tools employed by both vehicle performance disciplines and life-cycle disciplines.Current performance disciplines supported include: weights and sizing, aerodynamics, trajectories, propulsion, structural loads, and CAD-based geometries. Current life-cycle disciplines supported include: DDT&E cost, production costs, operations costs, turn around times, safety and reliability, and system economics. Involving six NASA centers (ARC, LaRC, MSFC, KSC, GRC and JSC), the Advanced Engineering Environment has been tailored to serve as a web-accessed agency-wide source for all of NASA's future launch vehicle systems engineering functions. Thus, it is configured to facilitate (a) data management, (b) automated tool/process integration, execution and management, and (c) data visualization and presentation. The core components of the integrated framework are a customized PTC Windchill product data management server, a set of RLV analysis and design tools integrated using Phoenix Integration's Model Center, and an XML-based data capture and transfer protocol.

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Section: Xml Launch Vehicle Languagementioning

confidence: 99%

Section: Capabilities Under Developmentmentioning

confidence: 99%

Section: Data Capture Control and Presentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Advanced Engineering Environment (AEE) Project for NASA's Next Generation Launch Technologies (NGLT) Program

Monell

Reuther

Garn

et al. 2004

42nd AIAA Aerospace Sciences Meeting and Exhibit

Self Cite

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show abstract

“…15,16 Because both Mission input data and the LVL are implemented in XML, Mission input data essentially becomes an extension of the LVL. The weights and sizing tool, XWAT, also has adopted XML for the same reason.…”

Section: Input File Data "Marked Up" With Xmlmentioning

confidence: 99%

Aerospace Vehicle Trajectory Design and Optimization Within a Multi-Disciplinary Environment

Windhorst

Galloway

Lau

et al. 2004

42nd AIAA Aerospace Sciences Meeting and Exhibit

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A trajectory design and optimization tool named Mission is developed to operate within a multi-disciplinary analysis tool environment for conceptual design of aerospace vehicles. Mission possesses several features designed to facilitate its set-up and operation within the environment. It receives input via an Extensible Markup Language tagged data file. The tree structure of the tags reflects that of a branched and multi-segmented trajectory, aiding parsing and editing for set-up of data exchange within the environment. Mission uses Xerces, a free library developed by Apache, for parsing the data file. In addition, it is linked to both gradient-based and genetic algorithmbased optimizers, allowing a choice depending on the amount of a priori information available. When little is known about the control variables, an initial guess of their histories may be forgone by initializing the optimization process with the genetic algorithm. Once a solution is approached, the gradient-based method is used. This strategy increases the robustness and autonomy of the trajectory tool operation within the multi-disciplinary environment. Finally, Mission's trajectory integration process is coded for parallel execution via the Message Passing Interface standard. The resultant execution speed increase reduces the relative expense of operating Mission within the multidisciplinary environment. The results of a Crew Transfer Vehicle "abort from ascent" problem are presented to demonstrate and quantify Mission's features. NOMENCLATURE a = base area of nozzle * c = fuel mass flow rate C D = drag coefficient C L = lift coefficient D = drag g = local gravitational acceleration g o = sea level gravitational acceleration h = altitude I sp = specific impulse L = lift m = mass n dv = number of design variables n g = number of trajectory integrations needed to calculate a gradient n gen = number of generations per execution n l = number of trajectory integrations needed to perform a line search n i = number of major iterations per execution n p = number of processors n pop = number of genetic strings in a population M = Mach number p = local atmospheric pressure p c = probability of a gene being crossed over * Member AIAA, Aerospace Engineer. † Research Scientist. ‡ Member AIAA, Senior Research Scientist. § Associate Fellow AIAA, Technical Director. p m = probability of a gene being mutated p sl = sea level atmospheric pressure q = dynamic pressure r = radial coordinate r e = radius of earth r s = execution speed ratio of two parallel runs S = side force S ref = vehicle reference area t = time t i = time required to perform a gradient-based optimization iteration t g = time required to evaluate fitness function values for all genetic strings in population t s = time required to integrate a single trajectory T = thrust v = relative speed of vehicle = angle of attack = side slip angle = heading angle = nozzle pitch angle = longitude = flight path angle feas = SNOPT feasibility criterion opt = SNOPT optimality criterion = latitude µ = throttle se...

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Weights Analysis of Space Launch Vehicles in an Advanced Engineering Environment

Jiang¹,

Gage²,

Kam³

et al. 2004

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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LVL Editor: A Graphical Tool for Visualizing and Managing Data in an Engineering Component Hierarchy

Cited by 3 publications

References 3 publications

The Advanced Engineering Environment (AEE) Project for NASA's Next Generation Launch Technologies (NGLT) Program

The Advanced Engineering Environment (AEE) Project for NASA's Next Generation Launch Technologies (NGLT) Program

Aerospace Vehicle Trajectory Design and Optimization Within a Multi-Disciplinary Environment

Weights Analysis of Space Launch Vehicles in an Advanced Engineering Environment

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