Modified two-dimensional digital image correlation method with capability of merging of data distributed in time

Area of Science:

• * Experimental Mechanics
• * Non-Destructive Testing
• * Data Analysis

Background:

• * Digital Image Correlation (DIC) is a powerful optical method for measuring deformation and strain.
• * Traditional DIC setups require fixed positions, limiting long-term monitoring capabilities.
• * Challenges exist in merging sequential 2D DIC data from non-coincident measurement positions.

Purpose of the Study:

• * To develop and validate a procedure for merging 2D DIC data captured over extended periods with varying setup positions.
• * To assess the accuracy and identify error sources of the proposed data merging method.
• * To demonstrate the applicability of the method for long-term monitoring of structures.

Main Methods:

• * Implementation of a novel data merging algorithm for sequential 2D DIC measurements.
• * Proof-of-concept validation using both numerical simulations and physical experiments.
• * Quantitative evaluation of the method's accuracy and analysis of error contributions.

Main Results:

• * Successful merging of 2D DIC data from non-fixed measurement positions was demonstrated.
• * The developed method showed promising accuracy for long-term deformation monitoring.
• * Key sources of error were identified and quantified.

Conclusions:

• * The proposed data merging technique overcomes limitations of fixed DIC setups for long-term monitoring.
• * This method enhances the utility of 2D DIC in engineering applications requiring continuous observation.
• * The approach is suitable for applications in building, civil, and power engineering.