Machine learning-based prediction of surface checks and bending properties in weathered thermally modified timber-Reference-Cited by-同舟云学术

Machine learning-based prediction of surface checks and bending properties in weathered thermally modified timber

Published:2021-11 Issue: Volume:307 Page:124996
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

van Blokland Joran,Nasir Vahid,Cool Julie,Avramidis Stavros,Adamopoulos Stergios

Funder

Svenska Forskningsrådet Formas

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference72 articles.

1. Durability of thermally modified timber from industrial-scale processes in different use classes: Results from laboratory and field tests, Wood;Robert Welzbacher;Mater Sci Eng,2007

2. Durability of thermally modified Norway spruce and Scots pine in above-ground conditions, Wood;Metsä-Kortelainen;Mater Sci Eng,2011

3. Durability of thermally modified sapwood and heartwood of Scots pine and Norway spruce in the modified double layer test;Metsä-Kortelainen;Wood Mater Sci Eng,2017

4. Weathering of wood and wood composites;Evans,2013

5. Thermal treatment of wood: European processes and their background, the International Reserach Group on Wood Protection, Doument No;Militz,2002

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