Physics-trained Artificial Intelligence framework to detect chloride degradation

dc.contributor.authorParth A Patel
dc.contributor.authorAbhinav Gupta
dc.contributor.authorSaran Srikanth Bodda
dc.contributor.authorHarleen Kaur Sandhu
dc.date.accessioned2024-11-25T22:18:04Z
dc.date.available2024-11-25T22:18:04Z
dc.date.issued2024-03-03
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/44744
dc.publisherIASMiRT
dc.relation.ispartofseriesDivision 5 - Modelling, Testing & Response Analysis of Structures, Systems and Components
dc.relation.ispartofseriesDivision 5-We.1.D - Aging
dc.relation.ispartofseries00 - SMiRT 27 - Yokohama, Japan. March 3-8, 2024
dc.titlePhysics-trained Artificial Intelligence framework to detect chloride degradation
dc.typeConference Proceeding

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
We.1.D-02.pdf
Size:
4.44 MB
Format:
Adobe Portable Document Format