Title:
Physics-based prognostic tools for fatigue and creep-fatigue of propulsion system materials

dc.contributor.author McDowell, David L. en_US
dc.contributor.corporatename Georgia Institute of Technology. Office of Sponsored Programs en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Office of Sponsored Programs
dc.date.accessioned 2010-05-26T14:29:31Z
dc.date.available 2010-05-26T14:29:31Z
dc.date.issued 2007-12-01 en_US
dc.description Issued as final report en_US
dc.description.sponsorship Pratt & Whitney en_US
dc.identifier.other 10214 en_US
dc.identifier.uri http://hdl.handle.net/1853/33382
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries School of Mechanical Engineering ; Project no. 105221 en_US
dc.subject.lcsh Finite element method
dc.subject.lcsh Neural networks (Computer science)
dc.title Physics-based prognostic tools for fatigue and creep-fatigue of propulsion system materials en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author McDowell, David L.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
relation.isAuthorOfPublication ce593c62-37f0-4d6f-a241-a83c373faa3e
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
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