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Abstract Sustainable management of cultural heritage collections requires tools that, on the one hand, quantitatively relate risk of damage to environmental impacts and, on the other hand, can be easily used by conservation professionals and decision makers in heritage buildings or buildings housing collections. This paper explains how continual processing of ambient relative humidity (RH) data monitored in museums or historical buildings is used to assess quantitatively the climate‐induced physical damage risk to art objects. The software continually decomposes RH data into a set of elementary sinusoidal RH fluctuations using discrete Fourier transform. The user needs to provide basic characterisation of objects in the collection. Then each elementary sinusoidal RH fluctuation is transformed, using the precalculated database, into an elementary strain fluctuation experienced by the object. The complete strain history is calculated by the superposition of all elementary strain fluctuations. The risk of damage can be assessed by comparing strain against a critical level selected—the damage criterion. Wooden panels have been selected to illustrate the approach, and its reliability was demonstrated by comparison with the strain versus time histories obtained by full finite element modelling. The proposed approach based on the analysis of moisture response of objects is significant progress to current practices of evaluating climate parameters themselves.
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