Modeling wood pole failure

SummaryIn part 1 of this series, a three-dimensional, structural analysis, finite element program has been developed to predict the stress distribution in wood poles with and without spiral grain and variable material properties. This program serves as a basis for a model to predict the strength and failure location in full-size wood poles. Fundamental to this model is the ability to quantify the effects of key material and geometric properties of the pole. This paper deals with the enhancement of the program to quantify the effect of knots and their associated cross grain on the stress distribution of wood poles. The technique is based on the theoretical behavior of laminar fluid flow around an elliptical obstruction. The flow-grain analogy was employed to develop empirical relationships between knot diameter and pertinent variables (grain deviation angle near the knot and area of influence of the knot). Prior to the development of the empirical relationships, a study was conducted to determine the size and distribution of knots in Douglas-fir and western redcedar poles.The validity of the technique to describe knot behavior is reflected in the ability of the finite element model to predict the strength and failure location of wood poles. The results suggested that the flow-grain analogy is a rational mechanism to quantify the fiber orientation near a knot. Furthermore, this technique could have meaningful implication in improving visual grading methods for wood poles.

[1]  Benjamin A. Jayne,et al.  Theory and Design of Wood and Fiber Composite Materials , 1972 .

[2]  Yiren Wang,et al.  Strength‐Grading Method for Wood Poles , 1990 .

[3]  Raymundo Dávalos-Sotelo,et al.  Bolted Connections in Wood under Bending/Tension Loading , 1992 .

[4]  Y. Fung Foundations of solid mechanics , 1965 .

[5]  James R. Goodman,et al.  Finite Element Method for Wood Mechanics , 1972 .

[6]  Jozsef Bodig,et al.  Orthotropic Elastic Properties of Wood , 1970 .

[7]  Dr. John Maddern Harris,et al.  Spiral Grain and Wave Phenomena in Wood Formation , 1988, Springer Series in Wood Science.

[8]  Jozsef Bodig,et al.  Prediction of elastic parameters for wood , 1973 .

[9]  P. J. Pellicane Application of the SB distribution to the simulation of correlated lumber properties data , 2004, Wood Science and Technology.

[10]  P. J. Pellicane A sampling strategy useful in full-distribution simulation , 2004, Wood Science and Technology.

[11]  Peter Koch,et al.  The shaping-lathe headrig-- key to utilization of hardwoods growing on southern pine sites , 1974 .

[12]  P. J. Pellicane Goodness-of-fit analysis for lumber data , 2004, Wood Science and Technology.

[13]  Anton Polensek Finite Element Analysis of Wood-Stud Walls , 1976 .

[14]  Jozsef Bodig,et al.  Mechanics of Wood and Wood Composites , 1982 .

[15]  P. J. Pellicane,et al.  Modeling wood pole failure , 2004, Wood Science and Technology.

[16]  James R. Goodman,et al.  FEAFLO: A program for the analysis of layered wood systems , 1977 .

[17]  P. J. Pellicane A finite element to model thin inhomogeneities in solids , 1992 .

[18]  Nilson Franco Three-dimensional finite element model to predict pole strength , 1992 .

[19]  Alfred J. Stamm,et al.  Principles of Wood Science and Technology , 2013, Springer Berlin Heidelberg.