Digital image correlation

Physics

Personality

Bandwidth (computing)

Big Five personality traits

Computer network

Mathematics

Psychotherapist

Structural engineering

Displacement (psychology)

Image (mathematics)

Speckle pattern

Optics

Distortion (music)

Engineering

Artificial intelligence

Psychology

Amplifier

Materials science

Computer science

Digital image

Facet (psychology)

Strain gauge

Social psychology

Image processing

Journal of Mechanics in Medicine and Biology

Digital image correlation (DIC) is being introduced to the biomechanical field. However, as DIC relies on a number of major assumptions, it requires a careful optimization in order to obtain accurate and precise results. The first step was the preparation of the speckle pattern by an airbrush spray gun following a factorial design to explore the different settings: the different speckle patterns created were analyzed to achieve the optimal speckle size, with minimal dispersion of speckle sizes. A benchmark test, with an aluminum specimen prepared with the speckle pattern, was conducted in which the errors affecting the computed strain were measured in a zero-displacement, zero-strain condition. The software parameters (facet size, step, and local regression) were singularly analyzed in order to understand their behavior on the final output. Moreover, the hardware parameters (camera gain, exposure, lens distortion) were analyzed. The output showed that a careful optimization allowed the reducing the systematic and random errors, respectively, from 150 to 10 microstrain and from 600 to 110 microstrain. Finally, the acquired know-how was applied to a biological specimen (human vertebra).

USE OF DIGITAL IMAGE CORRELATION TO INVESTIGATE THE BIOMECHANICS OF THE VERTEBRA