Optimizing characteristic properties of visually graded soft- and hardwoods lamellas for the glulam production

Andriy Kovryga, Peter Stapel, Jan Willem G Van De Kuilen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
44 Downloads (Pure)

Abstract

For the production of lamellas for GLT or CLT visually or machine strength graded timber is required. Visual grading allows only for a limited number of classes while reject rates tend to be high. The present paper shows the potential of an evolutionary algorithm NSGA-II optimizing the boundaries of multiple visual grading criteria in a reliable way. The optimization routine is applied to optimize the boundaries of the visual grading criteria given in DIN 4074-1 and DIN 4074-5. Destructive and non-destructive test data of 1515 specimens of Norway spruce (Picea abies) and 704 specimens of European beech (Fagus sylvatia) tested in tension were analysed. The optimization aims at: a) a maximization of the yield; 2) grade timber to the desired strength classes. Using this optimization routine for both beech and spruce higher yield figures compared to the grading according to DIN 4074 can be obtained while the desired characteristic strength are being reached.

Original languageEnglish
Title of host publicationWCTE 2016 - World Conference on Timber Engineering
EditorsJ. Eberhardsteiner, W. Winter, A. Fadai, M. Pöll
PublisherVienna University of Technoclogy
Pages782-790
ISBN (Electronic)978-390303900-1
ISBN (Print)978-3-903024-35-9
Publication statusPublished - 2016
EventWorld Conference on Timber Engineering - Vienna, Austria
Duration: 22 Aug 201625 Aug 2016
http://wcte2016.conf.tuwien.ac.at/home/

Conference

ConferenceWorld Conference on Timber Engineering
Abbreviated titleWCTE 2016
Country/TerritoryAustria
CityVienna
Period22/08/1625/08/16
Internet address

Keywords

  • Characteristic strength
  • DIN 4074
  • Evolutionary algorithm
  • NSGA-II
  • Visual strength grading
  • Yield

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