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Grading of sawn timber using the vibration technique: locating imperfections based on flexural mode shapes
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Byggteknik)
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Byggteknik)ORCID iD: 0000-0001-5319-4855
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Byggteknik)
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Byggteknik)
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2011 (English)In: 17th international nondestructive testing and evaluation of wood symposium / [ed] Ference Divos, Sopron, Hungary: University of West Hungary , 2011, 269-276 p.Conference paper, Published paper (Refereed)
Abstract [en]

The present study aims at investigating the potential of using mode shape or mode shape curvature (MSC) for detecting defects in wooden beams. It includes modal analysis, Finite Element (FE) modeling and visual scanning. An FE model was created to investigate the effect of defects of different size and location on the mode shape/MSC. The mode shape/MSC showed a good potential to be used for finding defects. An experimental study on 17 boards of Norway spruce, dimensions of 50×150×3900 mm, was conducted using experimental modal analysis. The findings reveal that: (1) the mode shape/MSC studied in the FE-model could be used to locate defects, (2) the method is very sensitive to measurement noise and it requires an accurately measured mode shape, (3) an error analysis shows that it is not possible to achieve the accuracy needed using accelerometers.

Place, publisher, year, edition, pages
Sopron, Hungary: University of West Hungary , 2011. 269-276 p.
Keyword [en]
experimental modal analysis, finite element modeling, mode shape, mode shape curvature, resonance frequency, strength grading, visual scanning
National Category
Building Technologies
Research subject
Technology (byts ev till Engineering), Civil engineering; Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-15747ISBN: 978-963-9883-81-9 (print)OAI: oai:DiVA.org:lnu-15747DiVA: diva2:455252
Conference
17th international nondestructive testing and evaluation of wood symposium
Available from: 2011-11-15 Created: 2011-11-09 Last updated: 2016-10-03Bibliographically approved
In thesis
1. Local variation in bending stiffness in structural timber of Norway spruce: for the purpose of strength grading
Open this publication in new window or tab >>Local variation in bending stiffness in structural timber of Norway spruce: for the purpose of strength grading
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Most strength grading machines on the European market use an averagemodulus of elasticity (MOE), estimated on a relatively large distance along awood member, as the indicating property (IP) to bending strength. Theaccuracy of such grading machines in terms of coefficient of determination israther low at R2 ≈ 0.5. This research is motivated by a desire to increase theaccuracy of the strength grading in the industry today. The aim of the presentstudy is to contribute knowledge of local variation in bending stiffness/MOEwith high resolution and thus locate weak sections due to stiffness reducingfeatures (the most important is knots) for structural timber.The present study introduces three methods that involve structural dynamics,classical beam theory and optical measurement to assess local wood stiffness.Specifically:

  • The dynamic method, in which a wood member is treated as an ordinaryphysical structure and the local stiffness is studied by exploring itsdynamic properties.
  • In Method II, a bending MOE profile is established based on local fibre angle information. The local fibre orientation is detected through highresolution laser scanning based on the tracheid effect.
  •  For Method III, a bending MOE profile is established using surfacestrain information under four-point bending. A high resolution strainfield is obtained using the digital image correlation (DIC) technique.

From the present study, the two latter methods are more favourable inevaluating the local stiffness within a piece of structural timber. Moreover, thestudy reveals that the established bending MOE profiles using the two lattermethods, i.e. based on information of the local fibre angle and surface strain,agree reasonably well. However, for some patterns of knot clusters, the localbending MOE, calculated on the basis of fibre angles, is significantly higherthan the local bending MOE estimated on the basis of surface strain.

Abstract [sv]

De flesta av de utrustningar för hållfasthetssortering som utnyttjas på deneuropeiska marknaden använder ett medelvärde på elasticitetsmodulen(MOE), beräknat på en relativt stor längd av en sågad planka, som indikativparameter (IP). Sådan hållfasthetssortering ger en noggrannhet i termer avförklaringsgrad på R2 ≈ 0.5, vilket är ganska lågt. Arbetet i denna studiemotiveras av en önskan att öka noggrannheten i hållfasthetssorteringen. Syftetmed denna studie är att bidra med kunskap om lokala variationer iböjstyvhet/MOE med hög upplösning och att lokalisera veka snitt (där kvistarär den viktigaste försvagande faktorn) för konstruktionsvirke.Den aktuella studien introducerar tre metoder som omfattar strukturdynamik,klassisk balkteori och optisk mätning vid bedömningen av lokal styvhet imaterialet. Specifikt:

  •  Metod I, där den lokala böjstyvheten studerades genom de dynamiskaegenskaperna såsom egenfrekvens och modform.
  •  Metod II, där en MOE profil beräknas på basis av information om lokalafibervinklar på ett virkesstyckes ytor. Den lokala fiberorienteringen mätsmed högupplöst laserskanning baserad på den så kallade trakeideffekten.
  •  Metod III, där en MOE-profil fastställdes med hjälp avtöjningsinformation för en hel flatsida av en planka belastad med konstantböjmoment. Det högupplösta töjningsfältet erhölls med hjälp av teknikför Digital Image Correlation (DIC).

Studien visar att de två sistnämnda metoderna är mycket lämpade för attutvärdera den lokala styvheten i ett virkesstycke. Dessutom visar studien att deMOE-profiler som togs fram med hjälp av de två sistnämnda metoderna,vilka baseras på information om lokala fibervinklar och töjningsfältet på ytan,stämde överens för större delen av virkesstycket. För visa kvistgrupper kan dock den lokala böjstyvheten högre med metoden baserad på fibervinklar.

Place, publisher, year, edition, pages
Linnaeus University, Department of Building Technology, 2014. 67 p.
Keyword
digital image correlation, fibre angle, high resolution, laser scanning, local stiffness, MOE profile, mode shape curvature, strain field, strength grading, structural timber, tracheid effect, Digital image correlation, fibervinkel, laserskanning, lokal styvhet, MOE-profil, töjningsfält, hållfasthetssortering, konstruktionsvirke, trakeideffekt
National Category
Wood Science Construction Management
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
urn:nbn:se:lnu:diva-38119 (URN)
Supervisors
Available from: 2014-12-02 Created: 2014-11-11 Last updated: 2014-12-02Bibliographically approved

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