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

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

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

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

Steel & Composite Structures

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

40 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 language	English
Title of host publication	WCTE 2016 - World Conference on Timber Engineering
Editors	J. Eberhardsteiner, W. Winter, A. Fadai, M. Pöll
Publisher	Vienna University of Technoclogy
Pages	782-790
ISBN (Electronic)	978-390303900-1
ISBN (Print)	978-3-903024-35-9
Publication status	Published - 2016
Event	World Conference on Timber Engineering - Vienna, Austria Duration: 22 Aug 2016 → 25 Aug 2016 http://wcte2016.conf.tuwien.ac.at/home/

Conference

Conference	World Conference on Timber Engineering
Abbreviated title	WCTE 2016
Country/Territory	Austria
City	Vienna
Period	22/08/16 → 25/08/16
Internet address	http://wcte2016.conf.tuwien.ac.at/home/

Keywords

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

Access to Document

wcte20162Final published version, 1.52 MBLicence: CC BY

Cite this

@inproceedings{b42f1ee0daf64e3ba9609e487a442247,

title = "Optimizing characteristic properties of visually graded soft- and hardwoods lamellas for the glulam production",

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.",

keywords = "Characteristic strength, DIN 4074, Evolutionary algorithm, NSGA-II, Visual strength grading, Yield",

author = "Andriy Kovryga and Peter Stapel and {Van De Kuilen}, {Jan Willem G}",

year = "2016",

language = "English",

isbn = "978-3-903024-35-9",

pages = "782--790",

editor = "J. Eberhardsteiner and W. Winter and A. Fadai and M. P{\"o}ll",

booktitle = "WCTE 2016 - World Conference on Timber Engineering",

publisher = "Vienna University of Technoclogy",

note = "World Conference on Timber Engineering, WCTE 2016 ; Conference date: 22-08-2016 Through 25-08-2016",

url = "http://wcte2016.conf.tuwien.ac.at/home/",

}

Kovryga, A, Stapel, P & Van De Kuilen, JWG 2016, Optimizing characteristic properties of visually graded soft- and hardwoods lamellas for the glulam production. in J Eberhardsteiner, W Winter, A Fadai & M Pöll (eds), WCTE 2016 - World Conference on Timber Engineering. Vienna University of Technoclogy, pp. 782-790, World Conference on Timber Engineering, Vienna, Austria, 22/08/16.

Optimizing characteristic properties of visually graded soft- and hardwoods lamellas for the glulam production. / Kovryga, Andriy; Stapel, Peter; Van De Kuilen, Jan Willem G.
WCTE 2016 - World Conference on Timber Engineering. ed. / J. Eberhardsteiner; W. Winter; A. Fadai; M. Pöll. Vienna University of Technoclogy, 2016. p. 782-790.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Optimizing characteristic properties of visually graded soft- and hardwoods lamellas for the glulam production

AU - Kovryga, Andriy

AU - Stapel, Peter

AU - Van De Kuilen, Jan Willem G

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Characteristic strength

KW - DIN 4074

KW - Evolutionary algorithm

KW - NSGA-II

KW - Visual strength grading

KW - Yield

UR - http://www.scopus.com/inward/record.url?scp=85010976847&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:b42f1ee0-daf6-4e3b-a960-9e487a442247

M3 - Conference contribution

AN - SCOPUS:85010976847

SN - 978-3-903024-35-9

SP - 782

EP - 790

BT - WCTE 2016 - World Conference on Timber Engineering

A2 - Eberhardsteiner, J.

A2 - Winter, W.

A2 - Fadai, A.

A2 - Pöll, M.

PB - Vienna University of Technoclogy

T2 - World Conference on Timber Engineering

Y2 - 22 August 2016 through 25 August 2016

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this