Getty Conservation Institute 320d ago

Computational models are becoming an increasingly larger part of predictive analysis and preventive conservation for cultural heritage. The Copenhagen painting model (Lee et al 2022) showed how a relatively stiff lower ground layer can help avoid cracks and delamination. However, accurate model predictions require accurate material property data and so far, predictive models have relied on data from model paint tests. While these represent an invaluable source it is unclear to what degree they represent the range of mechanical properties that can be expected from older paints in historic paintings. The analysis of paint from authentic paintings represents a challenge since samples cannot be tensile tested and are less homogeneous than paint samples produced for research. This work presents nanomechanical tests on samples from paintings up to 157 years old to test the hypothesis that the mechanical properties of these paints could be related to the paint samples cast for research purposes. Presenters: Cecil Krarup Andersen: The Royal Danish Academy Alexandra Bridarolli: Getty Conservation Institute Naoki Fujisawa: Getty Conservation Institute Kristian Præstholm: The Royal Danish Academy Mikkel Scharff: The Royal Danish Academy Michal Łukomski : Getty Conservation Institute