1986Wood and Fiber Science (Society of Wood Science and Technology)Open access

Stochastic Model for Modulus of Elasticity of Lumber

D. Earl Kline, F. E. Woeste, B. A. Bendtsen

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Abstract

A model was developed for generating the lengthwise variability in modulus of elasticity (MOE) of lumber.A limited grade selection of southern pine visual and machine stress-rated (MSR) grades formed the basic data base.A second-order Markov model was used to generate serially correlated MOE's along 30-inch segments for a piece of lumber.Modulus of elasticity indexes were obtained by dividinp, each correlated MOE by the average MOE of the piece of lumber.The MOE of each segment was obtained by multiplying ~~L M O E indexes by a single random observation from a distribution of MOE.The distribution characteristics of the generated MOE values are preserved, and the first-and .second-order lengthwise serial correlations are preserved.

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A model was developed for generating the lengthwise variability in modulus of elasticity (MOE) of lumber.A limited grade selection of southern pine visual and machine stress-rated (MSR) grades formed the basic data base.A second-order Markov model was used to generate serially correlated MOE's along 30-inch segments for a piece of lumber.Modulus of elasticity indexes were obtained by dividinp, each correlated MOE by the average MOE of the piece of lumber.The MOE of each segment was obtained by multiplying ~~L M O E indexes by a single random observation from a distribution of MOE.The distribution characteristics of the generated MOE values are preserved, and the first-and .second-order lengthwise serial correlations are preserved.

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Available abstract

A model was developed for generating the lengthwise variability in modulus of elasticity (MOE) of lumber.A limited grade selection of southern pine visual and machine stress-rated (MSR) grades formed the basic data base.A second-order Markov model was used to generate serially correlated MOE's along 30-inch segments for a piece of lumber.Modulus of elasticity indexes were obtained by dividinp, each correlated MOE by the average MOE of the piece of lumber.The MOE of each segment was obtained by multiplying ~~L M O E indexes by a single random observation from a distribution of MOE.The distribution characteristics of the generated MOE values are preserved, and the first-and .second-order lengthwise serial correlations are preserved.

Key concepts: Young's modulus, Elasticity (physics), Mathematics, Markov chain, Engineering, Structural engineering, Composite material, Materials science

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