Stochastic Model for Localized Tensile Strength and Modulus of Elasticity in Lumber

Authors

  • Steven E. Taylor
  • Donald A. Bender

Keywords:

Modulus of elasticity, tensile strength, laminating lumber, spatial variability, stochastic

Abstract

Localized modulus of elasticity (MOE) and tensile strength (T) were modeled for two visual grades of Douglas-fir laminating lumber. These material property models will be used as input to other structural analysis models that predict the strength and reliability of glued-laminated beams. Tensile strength and MOE are important material properties since most glued-laminated (glulam) timber beam failures initiate in the tension zone. Localized MOE and T exhibited significant within-piece variability as well as between-piece variability. These localized properties were also spatially correlated. A method that uses a transformation of the multivariate normal distribution was developed to simulate these localized properties for lumber up to 8-ft long. This method preserved the probability distributions of localized MOE and T as well as the spatial correlations between the localized property values. Procedures were described for expanding the model to simulate boards of any length. The method was also used to simulate long-span tensile strength. Mean simulated tensile strengths compared favorably with test results. Test results also confirmed a reduction in tensile strength as test span increased.

References

American Institute of Timber Construction (AITC). 1987. Manufacturing-Standard specifications for structural glued-laminated timber of softwood species. AITC 117-87. Vancouver, WA.nAmerican Society for Testing and Materials (ASTM). 1989a. Static tests of timber in structural sizes. ASTM Standard D198-84. Philadelphia, PA.nAmerican Society for Testing and Materials (ASTM). 1989b. Standard test methods for mechanical properties of lumber and wood-based structural material. ASTM Standard D4761-88. ASTM, Philadelphia, PA.nBechtel, F. K. 1985. Beam stiffness as a function of pointwise E, with application to machine stress rating. Proceedings of the International Symposium on Forest Products Research. CSIR, Pretoria, South Africa.nBender, D. A., F. E. Woeste, E. L. Schaffer, and C. M. Marx. 1985. Reliability formulation for the strength and fire endurance of glued-laminated beams. USDA Forest Service Research Paper FPL 460. U.S. Forest Products Laboratory, Madison, WI.nCorder, S. E. 1965. Localized deflection related to bending strength of lumber. In W. L. Galligan, ed. Proceedings of the Second Symposium on the Nondestructive Testing of Wood, Washington State University, Pullman, WA, Pp. 461-473.nDoyle, D. V., and L. J. Markwardt. 1967. Tension parallel-to-grain properties of southern pine dimension lumber. U.S. Forest Service Research Paper FPL 84. U.S. Forest Products Laboratory, Madison, WI.nEhlbeck, J., F. Colling, and R. Gorlacher. 1985a. Influence of finger-jointed lamellae on the bending strength of glulam beams: Development of a computer model. Holz Roh. Werkst. 43(8):333-337.nEhlbeck, J., F. Colling, and R. Gorlacher. 1985b. Influence of finger-jointed lamellae on the bending strength of glulam beams: Input data for the computer model. Holz Roh. Werkst. 43(9):369-373.nFoschi, R. O. 1987. A procedure for the determination of localized modulus of elasticity. Holz Roh. Werkst. 45:257-260.nFoschi, R. O., and J. D. Barrett. 1980. Glued-laminated beam strength: A model. J. Struct. Div. ASCE 106(ST8):1735-1754.nGlos, P., and Th. Michel. 1983. Stress grading of individual wood components and its effect on the strength distribution of wood structural systems. Proceedings of the Fourth International Conference on Applications of Statistics and Probability in Soil and Structural Engineering. Universita di Firenze, Pitagora Editrice Bologna, Bologna, Italy.nKass, A. J. 1975. Middle ordinate method measures stiffness variation within pieces of lumber. Forest Prod. J. 25(3):33-41.nKline, D. E., B. A. Bendtsen, and F. E. Woeste. 1986. Stochastic model for modulus of elasticity of lumber. Wood Fiber Sci. 18(2):228-238.nMarx, C. M., and J. W. Evans. 1986. Tensile strength of AITC 302-24 grade tension laminations. Forest Prod. J. 36(10):13-19.nMarx, C. M., and J. W. Evans. 1988. Tensile strength of laminating grades of lumber. Forest Prod. J. 38(7/8):6-14.nMatalas, N. C. 1967. Mathematical assessment of synthetic hydrology. Water Resources Research 3(4):937-945.nSchaffer, E. L., C. M. Marx, D. A. Bender, and F. E. Woeste. 1986. Strength validation and fire endurance of glued-laminated timber beams. USDA Forest Service Research Paper FPL-467. U.S. Forest Products Laboratory, Madison, WI.nShowalter, K. L., F. E. Woeste, and B. A. Bendtsen. 1987. Effect of length on tensile strength in structural lumber. USDA Forest Service Research Paper FPL-RP-482. U.S. Forest Products Laboratory, Madison, WI.nTaylor, S. E. 1988. Modeling spatial variability of localized lumber properties. Ph.D. dissertation, Department of Agricultural Engineering, Texas A&M University, College Station, TX.nTaylor, S. E., and D. A. Bender. 1988. Simulating correlated lumber properties using a modified multivariate normal approach. Trans. ASAE 31(1):182-186.nTaylor, S. E., and D. A. Bender. 1989. A method for simulating multiple correlated lumber properties. Forest Prod. J. 39(7/8):71-74.nWoeste, F. E., S. K. Suddarth, and W. L. Galligan. 1979. Simulation of correlated lumber properties data—A regression approach. Wood Sci. 12(2):73-79.nWolfe, R. W., and R. C. Moody. 1981. A summary of modulus of elasticity and knot size surveys for laminating grades of lumber. USDA Forest Service General Technical Report FPL-31. U.S. Forest Products Laboratory, Madison, WI.n

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Published

2007-06-28

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Research Contributions