Literature DB >> 16657504

Mechanics of the compression wood response: I. Preliminary analyses.

R R Archer1, B F Wilson.   

Abstract

Righting of two tilted white pine (Pinus strobus L.) stem leaders by compression wood formation was followed for 16 weeks. The natural curves and three deflection curves under added end loads were determined from weekly field photographs. Data for self-loading and cross sectional diameters were interpolated from original estimated and final measurements. A mechanical-mathematical model was developed to predict curves under zero gravity for each stem each week. The model estimated stiffness of the leaders independently for each week, and the stiffnesses were consistent throughout the experiment. A second model was developed to simulate the deflection curves assumed when the zero gravity curves were subjected to different end loads. These predicted curves were nearly identical to the observed curves from the photographs, thus verifying the assumptions in the first model. Data from this study will be used to investigate the mechanical aspects of compression wood induction and action as the stem is bent upward toward the vertical.

Entities:  

Year:  1970        PMID: 16657504      PMCID: PMC396634          DOI: 10.1104/pp.46.4.550

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  4 in total

1.  Mechanics of the Compression Wood Response: II. On the Location, Action, and Distribution of Compression Wood Formation.

Authors:  R R Archer; B F Wilson
Journal:  Plant Physiol       Date:  1973-04       Impact factor: 8.340

2.  Apical control of branch movements in white pine: biological aspects.

Authors:  B F Wilson; R R Archer
Journal:  Plant Physiol       Date:  1981-12       Impact factor: 8.340

3.  Mechanical properties of the rice panicle.

Authors:  W K Silk; L L Wang; R E Cleland
Journal:  Plant Physiol       Date:  1982-08       Impact factor: 8.340

4.  Analysis of the Osteogenic Effects of Biomaterials Using Numerical Simulation.

Authors:  Lan Wang; Jie Zhang; Wen Zhang; Hui-Lin Yang; Zong-Ping Luo
Journal:  Biomed Res Int       Date:  2017-01-02       Impact factor: 3.411

  4 in total

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