MASc thesis presentation by Nicolas Maamary – Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution

Name: MASc thesis presentation by Nicolas Maamary – Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution
Start: 2024-07-10T12:00:00-04:00
End: 2024-07-10T14:00:00-04:00

July 10 @ 12:00 pm - 2:00 pm

Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution (MASc thesis presentation)
Candidate: Nicolas Maamary
Supervisor: Professor Ibrahim Ogunsanya
Wednesday, July 10, 2024, NOON – 2:00 p.m.
Location: SF1009, Sandford Fleming Building, 10 King’s College Rd
Online via ZoomLinks to an external site.
Meeting ID: 264 442 296 790; Passcode: eQM2D2

Details

Date:: July 10
Time:: 12:00 pm - 2:00 pm
Event Category:: Events