Use of Infrared Thermography in a Data Fusion Framework for Thermal and Damage Properties Quantification
Author | : Satish S. Rajaram |
Publisher | : |
Total Pages | : 166 |
Release | : 2013 |
ISBN-10 | : OCLC:856904343 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Use of Infrared Thermography in a Data Fusion Framework for Thermal and Damage Properties Quantification written by Satish S. Rajaram and published by . This book was released on 2013 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infrared Thermography (IRT) is already a widely used technique for Non-Destructive Testing (NDT) for infrastructure evaluation and damage detection. This thesis has two goals; the first is to calculate a thermo physical property, the Coefficient of Thermal Expansion (CTE) using two non-contact and full field measurement techniques, IRT and Digital Image Correlation (DIC) which provide temperature and displacement fields, respectively. The second goal is to use IR and DIC (IRIC) as a full field non-contact technique that allows not only measurements of a thermal property but can further detect damage within a material. By providing full field data it is shown that it is possible to measure CTE in partitioned regions which can be used to identify damage. Simultaneously the accurate measurement of thermal expansion can be used to differentiate thermal strains generated in a material due to thermo-elastic effects from the mechanical induced strain and therefore assist the understanding of the behavior of a material. Literature reviews show a multitude of ways to calculate just CTE which demonstrates the novelty of this thesis to simultaneously measure a material property and identify damage. In summary, the aim of this thesis is to produce a quick, efficient and reliable technique to provide accurate CTE measurements of both isotropic and anisotropic materials, which can potentially be used to make corrections of strain measurements induced by mechanical loading, and therefore provide a way to identify progressive damage.