Development of a finite element model to predict modulus of elasticity of lumber as measured by bending-type stress-grading machines is discussed. The model is general in that lumber characteristics critical in machine grading, such as natural bow and local stiffness variations, can be taken into account. Simulations are carried out to compare the performance of two constant deflection machines employing different testing geometries. Results show that, depending on support conditions, grading machines may vary substantially in their ability to locate low stiffness zones along the length of lumber and identify the value of modulus of elasticity at these zones. Ability of the grading machines to test end portions of the lumber is also discuss...
Localized modulus of elasticity (MOE) and tensile strength (T) of six E-rated grades and two visual ...
From previous research, it is well known that a localized modulus of elasticity (MOE) is a better in...
To the best of our knowledge, one or more authors of this paper were federal employees when contribu...
Actual performance data were developed on two laboratory stress-grading machines differing only in s...
Machine strength grading is a production process in the sawmill industry used to grade sawn timber b...
This paper investigates if the relationship between the global and local moduli of elasticity (MoE),...
A mechanistic model is presented for predicting the tensile stiffness and strength of 2 by 4 lumber ...
A model was developed for generating the lengthwise variability in modulus of elasticity (MOE) of lu...
Efficient utilization of structural timber requires accurate methods for machine strength grading. O...
The objective of this study was to examine relationships between the physical properties of a board ...
Efficient utilization of structural timber requires accurate methods for machine strength grading. O...
The Canadian lumber industry undertook two large-scale test programs for the verification of lumber...
Data from the In-Grade Testing Program for visually graded dimension lumber are used to identify lum...
Strength grading methods are normally based on relationships between one measured value of modulus o...
Most machine strength grading methods are based on rather poor statistical relationships between edg...
Localized modulus of elasticity (MOE) and tensile strength (T) of six E-rated grades and two visual ...
From previous research, it is well known that a localized modulus of elasticity (MOE) is a better in...
To the best of our knowledge, one or more authors of this paper were federal employees when contribu...
Actual performance data were developed on two laboratory stress-grading machines differing only in s...
Machine strength grading is a production process in the sawmill industry used to grade sawn timber b...
This paper investigates if the relationship between the global and local moduli of elasticity (MoE),...
A mechanistic model is presented for predicting the tensile stiffness and strength of 2 by 4 lumber ...
A model was developed for generating the lengthwise variability in modulus of elasticity (MOE) of lu...
Efficient utilization of structural timber requires accurate methods for machine strength grading. O...
The objective of this study was to examine relationships between the physical properties of a board ...
Efficient utilization of structural timber requires accurate methods for machine strength grading. O...
The Canadian lumber industry undertook two large-scale test programs for the verification of lumber...
Data from the In-Grade Testing Program for visually graded dimension lumber are used to identify lum...
Strength grading methods are normally based on relationships between one measured value of modulus o...
Most machine strength grading methods are based on rather poor statistical relationships between edg...
Localized modulus of elasticity (MOE) and tensile strength (T) of six E-rated grades and two visual ...
From previous research, it is well known that a localized modulus of elasticity (MOE) is a better in...
To the best of our knowledge, one or more authors of this paper were federal employees when contribu...