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Published on: October 1, 2013
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Cracking failure of curved hollow tree trunks
Yan-San Huang1, Pei-Lin Chiang2, Ying-Chuan Kao2
1Department of Forestry, National Chung Hsing University, 145 Xingda Road, South Dist., Taichung City 402, Taiwan.
Royal Society Open Science
|April 10, 2020
Summary
Cracking failure in curved tree trunks is predicted by new equations considering curvature and material properties. Softwoods are more prone to cracking than hardwoods due to lower tensile strength.
Area of Science:
- Biomechanics of trees
- Structural analysis of natural materials
- Wood science and engineering
Background:
- Failure modes of curved hollow tree trunks are critical for safety and conservation.
- Existing research lacks theoretical analysis incorporating initial curvature and orthotropic properties.
- The precise mechanism of cracking failure in these structures remains unclear.
Purpose of the Study:
- To derive mathematical expressions for predicting cracking failure in curved hollow tree trunks.
- To determine failure modes based on trunk geometry and material properties.
- To provide insights for tree management and conservation efforts.
Main Methods:
- Derivation of new mathematical expressions for bending moment at cracking failure (M_crack).
- Comparison of M_crack with conventional bending failure moment (M_bend).
- Analysis of 11 tree species using data from 66 hardwoods and 43 softwoods.
Main Results:
- M_crack is proportional to tangential tensile strength, increases with t/R, and decreases with cR.
- Hardwoods favor conventional bending failure; softwoods are more prone to cracking failure.
- Cracking failure is more likely in curvature-decreasing bending for larger cR; bending failure for smaller cR.
Conclusions:
- The developed formulae accurately predict cracking failure moments in curved hollow beams.
- Findings differentiate failure modes between hardwoods and softwoods based on material properties.
- The study offers valuable insights for urban tree management and conservation of hollow-dependent fauna.
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