NDLI: Determining parameters related to the likelihood of failure of red oak (Quercus rubra L.) from winching tests

Content Provider	Springer Nature Link
Author	Kane, Brian
Copyright Year	2014
Abstract	This study provides data necessary to develop mechanistic models of the failure of open-grown trees. The literature contains few such data. Some results contrast previous studies on conifers. In cities and towns, tree failure can cause damage and injury. Few studies have considered large, open-grown trees when measuring parameters related to tree failure. To measure elastic modulus and maximum bending moment and stress, we winched red oaks (Quercus rubra L.), including some with co-dominant stems and others with extant decay. To simulate decay in a subsample of trees, we cut voids in the trunk before pulling trees to failure. Maximum bending moment was greatest for uprooted trees, but maximum bending and shear stresses were greatest for trees that failed in the crown in the vicinity of branches. The likelihood of failure at a void or area of extant decay increased as the loss in area moment of inertia increased. The moduli of elasticity and rupture of specimens taken from trees were greater than values measured on the trees themselves. Failure at the union of co-dominant stems only occurred when we pulled them apart, loading them perpendicular to the plane bifurcating the union. Some of the results are inconsistent with previous work on conifers; more data on open-grown trees are necessary to develop mechanistic models to predict tree failure.
Starting Page	1667
Ending Page	1677
Page Count	11
File Format	PDF
ISSN	09311890
Journal	Trees
Volume Number	28
Issue Number	6
e-ISSN	14322285
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-09-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Co-dominant stem Decay Decurrent Tree failure Tree pulling Forestry Plant Sciences Agriculture Plant Anatomy/Development Plant Pathology Plant Physiology
Content Type	Text
Resource Type	Article
Subject	Ecology Physiology Plant Science Forestry

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