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Forest Products Laboratory
One Gifford Pinchot Drive
Madison, WI 53726-2398
Phone: (608) 231-9200
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Title: Statistical investigation of modulus of elasticity and modulus of rupture distributions in mill run southern pine lumber

Source: Research In Progress FPL-RIP-4719-042. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 2 p.

Author(s)Ross, Robert J.; Shmulsky, Rubin

Publication Year: 2018  View PDF »

Related Publications: view

Category: Research In Progress

Abstract: The Southeastern region of the United States produces the nation’s largest volume of structural lumber. The several tree species that make up the Southern Pine lumber species group grow on hundreds of millions of acres across approximately 10 states. Annually, the value of lumber production from this resource is in the billions of dollars. To maintain its competitive position, structural lumber properties must accurately reflect the strength and stiffness of the resource. In this manner, consumers receive a reliable and safe product with high economic and engineering value. Of key interest is the nature of lumber properties among the weaker specimens, which comprise the lower tail of the statistical strength distribution. As lumber comes from both younger plantation thinnings and older mature saw logs, investigating mixed populations is of interest. The current best practice is to base strength design values on the nonparametric fifth percentile so that the design strength of lumber is independent of its statistical distribution. If strength distributions could be more accurately characterized, estimated lower tail strength values might increase, and higher economic value could be assigned to lumber while maintaining safety and conservatism.

Keywords: parametric; nonparametric; fifth percentile; design value; pine lumber

Publication Review Process: Non-Refereed (Other)

File size: 452 kb(s)

Date posted: 04/23/2018
RITS Product ID: 90001
Current FPL Scientist associated with this product
Ross, Robert J.
Supervisory Research Gen. Engineer

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