Size dependency of tension strength in natural fiber composites
G Dill-Langer,
R.Cruz Hidalgo,
F Kun,
Y Moreno,
S Aicher and
H.j Herrmann
Physica A: Statistical Mechanics and its Applications, 2003, vol. 325, issue 3, 547-560
Abstract:
This paper reports on a combined experimental and theoretical study on the size dependency of tension strength of clear wood at loading parallel to fiber direction. The fracture behavior of the tested softwood specimens was found to be rather brittle with low precursory activity and a statistical variation of the strength. The distribution of the strength values can be well fitted with a Weibull distribution distinguished by a shape parameter ρ∼8−10. A significant dependency of the mean strength of the material on the cross-sectional size of the specimens was obtained. The range of load redistribution in clear wood subjected to tension parallel to fiber was assessed by the theoretical concept of fiber bundle models for fiber composites. Hereby the macroscopic behavior was modelled in terms of the microscopic damage process.
Keywords: Wood fibers; Size effect; Fiber bundle models (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437103001419
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:325:y:2003:i:3:p:547-560
DOI: 10.1016/S0378-4371(03)00141-9
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().