The key objective of this study is to analyze full-scale fire-resistance tests conducted on structural composite lumber (SCL), namely laminated veneer lumber (LVL), parallel strand lumber (PSL) and laminated strand lumber (LSL). A sub-objective is to evaluate the encapsulation performance of Type X gypsum board directly applied to SCL beams and its contribution to fire-resistance of wood elements.
The test data is being used to further support the applicability of the newly developed Canadian calculation method for mass timber elements, recently implemented as Annex B of CSA O86-14.
Engineered wood flooring (EWF) is gaining in popularity since it appeared in Europe in the 70’s. 40% of the wood flooring installed in the USA is EWF and 75% are EWF in Europe. In layered wood composites such as engineered wood flooring, dimensional stability is of primary importance. The non-homogeneous adsorption or desorption of moisture by the composite may induce cupping, thus decreasing product value. These products were developed by the industry with the result that knowledge on the product and its behaviour is very limited. The objective of this study is to develop a finite element model of the hygromechanical cupping induced by moisture desorption in layered wood composites. The model is based on two sets of equations, 1) the three-dimensional equation of unsteady state moisture diffusion, and 2) the three-dimensional equations of elasticity including an orthotropic Hooke’s law, which takes into account the shrinkage, and swelling of each layer. The model was used to assess 34 different constructions. Results may be used as guideline in the design of new engineered wood flooring construction.
In wood products, such as parquetry, cabinetry and furniture, some of the performance criterions are related to moisture transfer between their different construction layers. Non homogenous moisture transfer usually results in the product’s deformation . Engineered Wood Parquet Flooring (EWPF) is an important case, which presents non homogenous moisture transfer due to its utilisation in service. Many types of varnish are available on the market. Physical properties of those varnishes such as hardness and abrasion resistance are readily available from the manufacturers. No data on water vapour diffusion is available, so this study is focused on this specific topic. Water vapour coefficient was determined for 6 commercial and industrial varnishes. These values will be used in further modelling work on EWPF.
Wood failure evaluation is the key criterion for predicting the long-term durability of plywood. At present, the conventional visual method for plywood wood failure evaluation is slow and subjective. Evaluations can be influenced by factors such as: room lighting, wood species, sample treatment, and readings from prior samples. An automated wood failure evaluation system using image analysis techniques could potentially be programmed to consider all the variables and respond with consistent wood failure values regardless of the machine operator's experience level. This report describes the results of a six-month study in which a system for automated plywood wood failure determination was compared with conventional visual wood failure evaluation. It was built upon research undertaken in the 1996/97 year in which the feasibility of the approach was initially established. In the research reported previously, a colour optical imaging system was assembled and suitable wood failure algorithms were compiled with promising results. The imaging system was 100 % effective in reproducing sample values. The data were discussed with the project liaisons and a three-month comparison with Canply readings was suggested. In this study, machine evaluation of 4,150 samples was compared with readings of monthly plywood mill quality control samples. The sampling was designed to include all British Columbia plywood mills and all categories of commercial plywood production. The differences in average values for wood failure between human and machine evaluation were found to be less than plus or minus 5% in the majority of cases. In addition, 93 % of ‘set average' readings fell in the plus or minus 10% range of deviation expected of human wood failure readers. Agreement on readings of individual samples within each set was not quite as good with 72% falling in the plus or minus 15% range.