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sis 22(5): e1

Research Article

Optimization of Larch Timbering Cross Section Based on Finite Element

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  • @ARTICLE{10.4108/eai.26-1-2022.172998,
        author={Wei Wang},
        title={Optimization of Larch Timbering Cross Section Based on Finite Element},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={9},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2022},
        month={1},
        keywords={larch, availability, finite element, optimization},
        doi={10.4108/eai.26-1-2022.172998}
    }
    
  • Wei Wang
    Year: 2022
    Optimization of Larch Timbering Cross Section Based on Finite Element
    SIS
    EAI
    DOI: 10.4108/eai.26-1-2022.172998
Wei Wang1,*
  • 1: Northeast Forestry University
*Contact email: 236997574@qq.com

Abstract

In view of the problem of the low utilization rate of larch as building materials, the cross-sectional dimension of larch wooden beams was optimized in this paper. The size of the larch wooden beam is 2000mm×80mm×80mm and the moisture content is 8.45%. By measuring experiments, The larch was statically analyzed by finite element softwareWith the volume of the beam as the target function, cross-section height and width as design variables, maximum stress and maximum deformation as state variables, and the results of static analysis as the state variable. Using these dates as the constraint of optimization design, the cross-sectional dimension of the larch wooden beam has been optimized as 2000 mm long, 55.02mm wide and 110.3mm high. The material was saved approximately 5.5% compared with that before optimization and improved the utilization efficiency of larch wooden beams in the construction industry.

Keywords
larch, availability, finite element, optimization
Received
2022-01-11
Accepted
2022-01-20
Published
2022-01-26
Publisher
EAI
http://dx.doi.org/10.4108/eai.26-1-2022.172998

Copyright © 2022 Wei Wang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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