Date of Award

Summer 2018

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical/Computer Engineering

Committee Director

Jiang Li

Committee Member

Dimitrie C. Popescu

Committee Member

Masha Sosonkina

Committee Member

William P. Winfree

Abstract

The Nondestructive Evaluation Sciences Branch (NESB) at the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) has conducted impact damage experiments over the past few years with the goal of understanding structural defects in composite materials. The Data Science Team within the NASA LaRC Office of the Chief Information Officer (OCIO) has been working with the Non-Destructive Evaluation (NDE) subject matter experts (SMEs), Dr. Cheryl Rose, from the Structural Mechanics & Concepts Branch and Dr. William Winfree, from the Research Directorate, to develop computer vision solutions using digital image processing and machine learning techniques that can help identify the structural defects in composite materials.

The research focused on developing an autonomous Non-Destructive Evaluation system which detects, identifies, and characterizes crack and delamination in composite materials from computed tomography (CT scans) images. The identification and visualization of cracking and delamination will allow researchers to use volumetric models to better understand the propagation of damage in materials, leading to design optimizations that will prevent catastrophic failure.

DOI

10.25777/vc78-t122

ISBN

9780438538252

ORCID

0000-0002-1149-7011

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