Digital Image Correlation Techniques for NDE and SHM

Christopher Niezrecki, Javad Baqersad, Alessandrao Sabato

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Monitoring and analyzing the integrity of structures, infrastructure, and machines is essential for economic, operational, and safety reasons. The assessment of structural integrity and dynamic conditions of those systems is important to ensure safe operation and achieve or even extend the design service life. Recent advancements in camera technology, optical sensors, and image processing algorithms have made optically based and noncontact measurement techniques such as photogrammetry and digital image correlation (DIC) appealing methods for nondestructive evaluation (NDE) and structural health monitoring (SHM). Conventional sensors (e.g., accelerometers, strain gages, string potentiometers, LVDTs) provide results only at a discrete number of points. Moreover, these sensors need wiring, can be time-consuming to install, may require additional instrumentations (e.g., power amplifiers, data acquisition), and are difficult to implement on large-sized structures without interfering with their functionality or may require instrumentation having a large number of data channels. On the contrary, optical techniques can provide accurate quantitative information about full-field displacement, strain, geometry, and the dynamics of a structure without contact or interfering with the structure’s functionality. This chapter presents a summary review of the efforts made in both academia and industry to leverage the use of DIC systems for NDE and SHM applications in the fields of civil, aerospace, and energy engineering systems. The chapter also summarizes the feasibility of the approaches and presents possible future directions of the measurement approach.

Original languageAmerican English
Title of host publicationHandbook of Advanced Non-Destructive Evaluation
DOIs
StatePublished - Jun 29 2018

Keywords

  • Digital image correlation
  • Non-destructive evaluation
  • Optial measurements
  • Photogrammetry
  • Structural health monitoring

Disciplines

  • Mechanical Engineering

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