Erratum to: Water sorption hysteresis in wood: II mathematical modeling – functions beyond data fitting
Erratum to: Jingbo Shi and Stavros Avramidis. 2017. Water sorption hysteresis in wood: II mathematical modeling – functions beyond data fitting. Holzforschung. Volume 71, Issue 4, pages 317–326. (DOI: 10.1515/hf-2016-0121):
The authors wanted to make the following correction in the Introduction in paragraph ‘Mechanisms underlying hysteresis patterns’:
Pattern (d)
Pattern (d) reveals that any point within the major hysteresis loop can be reached more than one way. The same MC means that the integration from the support 𝑆+ in the RHu − RHl diagram is the same, and different hygroscopic histories indicate different interface lines L. Therefore, the proof of this patterns demands the existence of two different interface lines with appropriate supports 𝑆+ that lead to the same integration. As different supports correspond to different weighting functions μ(RHu, RHl), the support areas can be different. Figure 5Aa gives such an example where L1 and L2 are two interfaces formed from two different RH histories. The differences of the interfaces are indicated by red color for L1, and blue color, L2. The differences of the supports are indicated by the shaded rectangular areas ΔR1 and ΔR2. As the areas of ΔR1 can be finely tuned by the final movement of RHu = RHf, the equality of integration based on ΔR1 and ΔR2 can be satisfied.
©2017 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Articles
- Enzymatic grafting of kraft lignin as a wood bio-protection strategy. Part 1: factors affecting the process
- Enzymatic grafting of kraft lignin as a wood bio-protection strategy. Part 2: effectiveness against wood destroying basidiomycetes. Effect of copper entrapment
- Isolation and characterization of triterpenoids from the stem barks of Pinus massoniana
- Radial distribution of monomeric, dimeric and trimeric norlignans and their polymerization in Cryptomeria japonica heartwood
- Influence of length and sensor positioning on acoustic time-of-flight (ToF) measurement in structural timber
- Calcium phosphate bonded wood and fiber composite panels: production and optimization of panel properties
- Water sorption hysteresis in wood: III physical modeling by molecular simulation
- Characteristics of carbon nanofibers produced from lignin/polyacrylonitrile (PAN)/kraft lignin-g-PAN copolymer blends electrospun nanofibers
- Chiral ionic liquids with a (−)-menthol component as wood preservatives
- Performance of waterborne copper/organic wood preservatives in an AWPA E14 soft-rot laboratory soil bed test using modified soil
- Erratum
- Erratum to: Water sorption hysteresis in wood: II mathematical modeling – functions beyond data fitting
Articles in the same Issue
- Frontmatter
- Original Articles
- Enzymatic grafting of kraft lignin as a wood bio-protection strategy. Part 1: factors affecting the process
- Enzymatic grafting of kraft lignin as a wood bio-protection strategy. Part 2: effectiveness against wood destroying basidiomycetes. Effect of copper entrapment
- Isolation and characterization of triterpenoids from the stem barks of Pinus massoniana
- Radial distribution of monomeric, dimeric and trimeric norlignans and their polymerization in Cryptomeria japonica heartwood
- Influence of length and sensor positioning on acoustic time-of-flight (ToF) measurement in structural timber
- Calcium phosphate bonded wood and fiber composite panels: production and optimization of panel properties
- Water sorption hysteresis in wood: III physical modeling by molecular simulation
- Characteristics of carbon nanofibers produced from lignin/polyacrylonitrile (PAN)/kraft lignin-g-PAN copolymer blends electrospun nanofibers
- Chiral ionic liquids with a (−)-menthol component as wood preservatives
- Performance of waterborne copper/organic wood preservatives in an AWPA E14 soft-rot laboratory soil bed test using modified soil
- Erratum
- Erratum to: Water sorption hysteresis in wood: II mathematical modeling – functions beyond data fitting