A Method and System for Damage Analysis of Grotto Murals Based on Digital Image Correlation Theory

Abstract

This invention discloses a method and system for analyzing damage to grotto murals based on digital image correlation theory. The analysis method includes acquiring images of the grotto murals before and after damage; obtaining the deformation field of the grotto murals by combining digital image correlation theory and the images before and after damage; deriving the strain field of the grotto mural surface based on the deformation field; obtaining the stress distribution of the grotto mural surface based on the strain field of the grotto mural surface and the regional characteristic rock sample information of the grotto mural; and predicting the damage to the grotto murals based on the strain field and stress distribution of the grotto mural surface. This invention can integrate mechanical response and image measurement data to achieve a non-contact, structural mechanics-driven damage identification process, which is particularly suitable for the structural diagnosis of non-homogeneous cultural heritage mural objects. This invention is a non-contact, non-destructive, long-term method for monitoring the condition of murals, which is particularly suitable for complex and fragile cultural relic preservation work.

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