Probabilistic Fatigue Life Prediction and Damage Prognostics of Adhesively Bonded Joints via ANNs-based Hybrid Model.

Simple item page
dc.contributor.advisorFuh-Gwo Yuan, Chair
dc.contributor.advisorLawrence Silverberg, Member
dc.contributor.advisorChengying Xu, Member
dc.contributor.advisorRalph Smith, Member
dc.contributor.authorLyathakula, Karthik Reddy
dc.date.accepted2021-11-29
dc.date.accessioned2021-11-30T13:30:24Z
dc.date.available2021-11-30T13:30:24Z
dc.date.defense2021-10-14
dc.date.issued2021-10-14
dc.date.released2021-11-30
dc.date.reviewed2021-10-26
dc.date.submitted2021-10-26
dc.degree.disciplineMechanical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg27245
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39292
dc.titleProbabilistic Fatigue Life Prediction and Damage Prognostics of Adhesively Bonded Joints via ANNs-based Hybrid Model.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
13.53 MB
Format:
Adobe Portable Document Format
Download

Collections

Dissertations