Measurement of Subsurface Fatigue Crack Size Using Nonlinear Adaptive Learning

dc.contributor.author	Mucciardi, A.
dc.date	2018-02-13T16:21:17.000
dc.date.accessioned	2020-06-30T01:27:07Z
dc.date.available	2020-06-30T01:27:07Z
dc.date.copyright	Sat Jan 01 00:00:00 UTC 1977
dc.date.embargo	2013-10-25
dc.date.issued	1977-09-01
dc.description.abstract	<p>I would like to present some ideas regarding the current stat us of fatigue crack NOE, where the field could go, and then give a case example of a recently synthesized NDE (software) system for detection and sizing aluminum fatigue cracks.</p>
dc.format.mimetype	application/pdf
dc.identifier	archive/lib.dr.iastate.edu/cnde_yellowjackets_1976/36/
dc.identifier.articleid	1035
dc.identifier.contextkey	4763821
dc.identifier.s3bucket	isulib-bepress-aws-west
dc.identifier.submissionpath	cnde_yellowjackets_1976/36
dc.identifier.uri	https://dr.lib.iastate.edu/handle/20.500.12876/15877
dc.language.iso	en
dc.relation.ispartofseries	Interdisciplinary Program for Quantitative Flaw Definition Annual Reports
dc.source.bitstream	archive/lib.dr.iastate.edu/cnde_yellowjackets_1976/36/1976_YellowJacket_036_Mucciardi_MeasurementSubsurface.pdf\|\|\|Fri Jan 14 23:46:10 UTC 2022
dc.subject.disciplines	Materials Science and Engineering
dc.title	Measurement of Subsurface Fatigue Crack Size Using Nonlinear Adaptive Learning
dc.type	report
dc.type.genre	report
dspace.entity.type	Publication
relation.isSeriesOfPublication	43920e40-d127-4f4c-9087-dc709815fe7f

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