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The composite load spectra projectProbabilistic methods and generic load models capable of simulating the load spectra that are induced in space propulsion system components are being developed. Four engine component types (the transfer ducts, the turbine blades, the liquid oxygen posts and the turbopump oxidizer discharge duct) were selected as representative hardware examples. The composite load spectra that simulate the probabilistic loads for these components are typically used as the input loads for a probabilistic structural analysis. The knowledge-based system approach used for the composite load spectra project provides an ideal environment for incremental development. The intelligent database paradigm employed in developing the expert system provides a smooth coupling between the numerical processing and the symbolic (information) processing. Large volumes of engine load information and engineering data are stored in database format and managed by a database management system. Numerical procedures for probabilistic load simulation and database management functions are controlled by rule modules. Rules were hard-wired as decision trees into rule modules to perform process control tasks. There are modules to retrieve load information and models. There are modules to select loads and models to carry out quick load calculations or make an input file for full duty-cycle time dependent load simulation. The composite load spectra load expert system implemented today is capable of performing intelligent rocket engine load spectra simulation. Further development of the expert system will provide tutorial capability for users to learn from it.
Document ID
19900018007
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Newell, J. F.
(Rockwell International Corp. Canoga Park, CA., United States)
Ho, H.
(Rockwell International Corp. Canoga Park, CA., United States)
Kurth, R. E.
(Battelle Columbus Labs. OH., United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1990
Publication Information
Publication: NASA, Marshall Space Flight Center, Fifth Conference on Artificial Intelligence for Space Applications
Subject Category
Structural Mechanics
Accession Number
90N27323
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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