Sep 2026· The Heritage· Vol 9, pp. 363· 0 citations· 16 references
Abstract
Panel paintings respond to environmental change in ways that depend on the individual object. Environmental monitoring is routine, but climatic standards do not provide a quantitative, object-specific criterion for deciding whether an observed deformation is mechanically significant. We present an open, modular pipeline—a sequence of independent, replaceable modules in which the output of each feeds the next—that converts environmental and deformometric records into a conservation-relevant quantity: strain at the painted surface. The workflow comprises four modules: calculation of cupping from deformometric-kit data, estimation of equilibrium moisture content from temperature and relative humidity, local-polynomial pre-processing, and a reduced-order hygro-mechanical model. The method is applied to three poplar panel paintings from the Opificio delle Pietre Dure exposed to the same conservation environment. The model reproduces measured cupping with training R2 values of 0.90–0.95. Expressing the response as painted-surface strain reveals object-specific differences; under a conservative worst-case reference, all three paintings remain below the lower bound of the cracking-strain range reported for gesso grounds, although with different margins. Crucially, these strain levels cannot be inferred from cupping amplitude alone because the cupping-to-strain relationship varies among panels. The pipeline is not intended to replace finite-element analysis, but to provide a transparent, reproducible framework for turning routine monitoring into a physically interpretable screening metric.
The research presents a methodology for two-dimensional Digital Image Correlation (2D-DIC) based on discretely tracking the natural surface features of masonry to characterize its mechanical response. By eliminating any surface treatment, the marker and speckle free DIC provides a non-invasive, realistic and accurate a...
With Manufacturing 4.0 and digital twins becoming prevalent, leveraging data from different sources, serial numbers, and lifecycle stages for quantitative evaluation is crucial to improve manufacturing. However, inconsistent geometries between as-built and as-designed parts cause difficulties in inspection using data o...
This study presents an analytical framework to predict moisture-induced damage in biosystem composites, using wooden panel paintings as a model system. It brings together a transient diffusion equation, a bilayer hygroscopic stress equation, and a fracture-mechanics evaluation, and from these gets closed-form expressio...
M. Jamalabadi· Ecological & Sustainable...· 0 citations
Durability assessments of textile-reinforced mortar (TRM) are often fragmented across exposure conditions, test scales, and observation times. An existing durability campaign on glass- and basalt-textile TRM was reorganized into a hierarchical, condition-specific state comprising matrix, textile pull-out, and single-la...
Nima Azimi, Omid Hassanshahi, Mohammad Bakhshi et al.· Processes· 0 citations
Masked Stereolithography is an additive manufacturing technology widely adopted for industrial and biomedical applications due to its high accuracy and surface quality. Nevertheless, the combined effects of process parameters on mechanical performance and environmental sustainability remain insufficiently explored....
C. Mignanelli, M. Simoncini, T. Verdini· The International Journal of...· 0 citations
A hierarchical variational generalization of the Reinsch principle is proposed for constructing an adaptive interpolationspline architecture from a finite experimental sample of the deformation curve of an elastoplastic material. The approach separates three interrelated levels. At the first level, stationarity of the...
P. Belov, N. Golovina, E. Weiss· Journal of Civil Engineering...· 1 citation
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