Location: Zoom
Add to Calendar 2020-03-27T14:30:00 2020-03-27T16:30:00 America/New_York Mehrdad S. Dizaji - PhD Defense Title: A Computer Vision-Based Structural Health Monitoring Framework: Feature-Mining of Damage for Predictive Numerical Simulations Zoom

Title: A Computer Vision-Based Structural Health Monitoring Framework: Feature-Mining of Damage for Predictive Numerical Simulations

Abstract: Most of the critical defects in structural components can be invisible on the surface, mainly throughout the early stages of deterioration, causing their timely detection to be a challenge. Assessing the actual and accurate 3D form and extent of interior defects is a complicated and also cumbersome task, unexpectedly with the developments in non-destructive testing techniques. Unlike the majority of traditional methods based on specialized forms of surface-penetrating waves or radiation imaging, this research uses optical cameras for full-field sensing of surface strains and deformations using the 3D Digital Image Correlation (3D DIC) technique as the basis for damage identification. This data-rich representation of the behavior of the structural component is then leveraged in an inverse mechanical problem to reconstruct the underlying subsurface abnormalities. The inverse problem is solved through a topology optimization formulation that iteratively adjusts a fine-tuned finite element model of the structure to infer abnormalities within the structure. 

 

All Invited:

Date:        March 27th from 02:30-4:30 pm 

Location:  Zoom meeting room (details below)

Committee Members:

 

           Chair:                     Professor Jose Gomez

           Advisor:                 Professor Devin Harris

                                           Professor Osman Ozbulut 

                                           Professor Nada Basit

                                           Professor Arsalan Heydarian

 

 

Zoom Information:

Mehrdad Shafiei Dizaji is inviting you to a scheduled Zoom meeting.

Topic: Mehrdad S. Dizaji's Ph.D. defense
Time: Mar 27, 2020, 02:30 PM Eastern Time (the US and Canada)

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Meeting ID: 251 020 794

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