Journal ArticleDOI
Archaeological Wood: Properties, Chemistry, and Preservation
Roger M. Rowell,R.J. Barbour +1 more
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This article is published in ChemInform.The article was published on 1990-08-14. It has received 109 citations till now.read more
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Journal ArticleDOI
Physical characteristics of the wood from the excavations of the ancient port of Pisa
TL;DR: In this paper, the physical characterisation of findings of woods from the excavation of the Etruscan-Roman ancient harbor of Pisa was performed with a methodology specifically set up for the archaeological wet material, not applicable as standardised international methodologies.
Biopulping. A glimpse of the future
T.K. Kirk,J.W. Koning,R.R. Burgess,M. Akhtar,Robert A. Blanchette,D.C. Cameron,D. Cullen,P.J. Kersten,E.N. Lightfoot,G.C. Myers,I. Sachs,M. Sykes,Mary Beth Wall +12 more
TL;DR: The final report of the Biopulping Consortium I, a 5-year research and information program involving the USDA Forest Service, Forest Products Laboratory (FPL), the University of Wisconsin (UW), and industry, is presented in this article.
Journal ArticleDOI
A comparative thermogravimetric study of waterlogged archaeological and sound woods
TL;DR: In this paper, a new protocol was proposed to rapidly calculate the maximum water content parameter, which is related to the wood degradation state, and experiments at variable heating rates were performed to obtain kinetic parameters for the degradation process.
Journal Article
Stability of Acetylated Wood To Environmental Changes
TL;DR: In this paper, the half-life of acetylated wood continuously in contact with a buffered liquid at pH 6 and 24 C was approximately 30 years, while the half life of unacetylated Wood used under normal circumstances would be expected to be much longer.
Journal ArticleDOI
Analysis and prediction of selected mechanical/dynamic properties of wood after short and long-term waterlogging
TL;DR: In this article, Fourier Transform near-infrared (FT-NIR) spectroscopy and multivariate analysis based on partial least squares (PLS) were used to predict selected dynamic and physical parameters of waterlogged samples.