Investigation and prediction of damage propagation in painting-like samples using S–N curves

• Experimental framework for quantifying vibration-induced fatigue in painting-like materials. • Controlled long-term testing enables generation of material-specific S–N curves. • Eigenfrequency monitoring provides an objective indicator for fatigue progression. • Artificial aging affects mechanical behavior and fatigue lifetime. • Defined vibration thresholds support risk assessment for artwork transport and preservation.

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Publication Details

Journal
Journal of Cultural Heritage
Published
2026-05-22
DOI
https://doi.org/10.1016/j.culher.2026.04.015
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation and prediction of damage propagation in painting-like samples using S–N curves

Eva Hartlieb, Peter Eberhard, Christoph Krekel, Pascal Ziegler
Journal of Cultural Heritage
Cultural Heritage Materials Analysis
article

Investigation and prediction of damage propagation in painting-like samples using S–N curves

Eva Hartlieb, Peter Eberhard, Christoph Krekel, Pascal Ziegler
article en

Abstract

• Experimental framework for quantifying vibration-induced fatigue in painting-like materials. • Controlled long-term testing enables generation of material-specific S–N curves. • Eigenfrequency monitoring provides an objective indicator for fatigue progression. • Artificial aging affects mechanical behavior and fatigue lifetime. • Defined vibration thresholds support risk assessment for artwork transport and preservation.

Journal of Cultural HeritageVol. 80
University of Stuttgart (DE), Staatliche Akademie der Bildenden Künste Stuttgart (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 2%
Cultural Heritage Materials Analysis
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