Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Quantitative Evaluation of Deformation and Wood Mass Alterations due to Relative Humidity Fluctuations: A preliminary study on spruce samples

Jessica Auber--Le Saux
,
Vivi Tornari
ORCID logo ,
Xueshi Bai
ORCID logo ,
Nicolas Wilkie-Chancellier
ORCID logo ,
Michalis Andrianakis
ORCID logo ,
Vincent Detalle
* ORCID logo
Version 1 : Received: 10 November 2023 / Approved: 10 November 2023 / Online: 13 November 2023 (09:22:43 CET)

How to cite: Auber--Le Saux, J.; Tornari, V.; Bai, X.; Wilkie-Chancellier, N.; Andrianakis, M.; Detalle, V. Quantitative Evaluation of Deformation and Wood Mass Alterations due to Relative Humidity Fluctuations: A preliminary study on spruce samples. Preprints 2023, 2023110731. https://doi.org/10.20944/preprints202311.0731.v1 Auber--Le Saux, J.; Tornari, V.; Bai, X.; Wilkie-Chancellier, N.; Andrianakis, M.; Detalle, V. Quantitative Evaluation of Deformation and Wood Mass Alterations due to Relative Humidity Fluctuations: A preliminary study on spruce samples. Preprints 2023, 2023110731. https://doi.org/10.20944/preprints202311.0731.v1

Abstract

The understanding of structural alteration mechanisms due to relative humidity impact on organic supports of paintings is of crucial significance for the preventive conservation strategies in order to ensure the long-term preservation of important cultural identity artworks. The effort in this paper is to simulate Museum realistic relative humidity condition in a climate chamber while monitoring the structural responses through a quantitative interferometric method allowing the quantitative correlation between the physical values of deformation and mass alteration relevant to relative humidity fluctuations.

Keywords

wood; relative humidity; climate impact for conservation; holographic interferometry; NDT; digital speckle pattern interferometry; cultural heritage

Subject

Physical Sciences, Optics and Photonics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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