Home European beech log and lumber grading in wet and dry conditions using longitudinal vibration
Article
Licensed
Unlicensed Requires Authentication

European beech log and lumber grading in wet and dry conditions using longitudinal vibration

  • Andreas Rais ORCID logo EMAIL logo , Hans Pretzsch and Jan-Willem G. van de Kuilen
Published/Copyright: February 11, 2020
Become an author with De Gruyter Brill

Abstract

In Central Europe, European beech (Fagus sylvatica L.) is the most frequently occurring hardwood species. An efficient grading method has the potential to promote its utilisation as construction material. Wood density, eigenfrequency and length were measured in 99 European beech logs for calculating the dynamic modulus of elasticity (MOEdyn) obtained by longitudinal vibration (resonance). In addition, the log taper was measured. Of those logs, 867 boards were cut using a bandsaw. The MOEdyn in green condition was determined on 505 of the boards and the MOEdyn in dry conditions was determined on all of them. The r2 value between the MOEdyn of a log and the mean of MOEdyn of its boards was 0.72 in the wet condition. The MOEdyn,12% of boards significantly increased by 88 N mm−2 for each centimetre away from the pith. The negative effect of log taper on MOEdyn of boards was barely significant (P-value = 0.050). The MOEdyn,12% was highly dependent on the MOEdyn,wet (r2 = 0.83) and was 17% higher than the MOEdyn,wet. The mechanical properties of European beech timber exceed those of European softwood species. However, the relationships regarding MOEdyn between different grading levels in the processing chain appear to be similar to those of softwoods.

Acknowledgements

We would like to recognize the help of Sebastian Duschner, Thomas Hefter, Franziska Partenhauser, Frank Dauven and Manfred Parr for finding appropriate sample trees. Many thanks to the staff and student assistants of the TU Munich for their support, specifically Lorenz Maag, Jonas Schweiger, Orlando Gamarra, Daniel Dittrich, Charlotte Lennertz, Ian Burke, Martin Jacobs, Matthias Ulbricht, Andriy Kovryga and Heribert Bergmeier. We thank Martin Bacher from Microtec for his valuable recommendations and two anonymous reviewers whose comments helped improving the manuscript.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: We thank the German Federal Ministry of Food and Agriculture for support of the project “Einfluss der waldbaulichen Baumartenmischung auf die Schnittholzqualität der Rotbuche (Fagus sylvatica L.) und Optimierung einer maschinellen Rundholzsortierung” (“Impacts of forest management on sawn timber quality of European beech (Fagus sylvatica L.) and optimising automatic log grading”). Additional funding was received from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie (grant agreement no. 778322). The wood was kindly sponsored by Bayerische Staatsforsten and sawn at sawmill Försch/Bavaria.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

References

Bacher, M. Personal Communication, November 11, 2019.Search in Google Scholar

Bengtsson, C. (2000) Stiffness of spruce wood – influence of moisture conditions. Holz als Roh- und Werkst. 58:344–352.10.1007/s001070050443Search in Google Scholar

BMEL. Der Wald in Deutschland. Ausgewählte Ergebnisse der dritten Bundeswaldinventur, 2014. https://www.bmel.de/SharedDocs/Downloads/Broschueren/Bundeswaldinventur3.pdf?__blob=publicationFile. Accessed 16 Aug 2019. BMEL.Search in Google Scholar

Brüchert, F., Becker, G., Speck, T. (2000) The mechanics of Norway spruce [Picea abies (L.) Karst]: mechanical properties of standing trees from different thinning regimes. For. Ecol. Manage. 135:45–62.10.1016/S0378-1127(00)00297-8Search in Google Scholar

Denzler, J.K., Weidenhiller, A., Golser, M. (2015) Property relationships between spruce logs and structural timber. Scand. J. For. Res. 30:617–623.10.1080/02827581.2015.1046479Search in Google Scholar

DIN 4074-1:2012-06. Strength Grading of Wood – Part 1: Coniferous Sawn Timber. DIN Deutsches Institut für Normung e. V., 2012.Search in Google Scholar

DIN 4074-5:2008-12. Strength Grading of Wood – Part 5: Sawn Hard Wood. DIN Deutsches Institut für Normung e.V., 2008.Search in Google Scholar

Edlund, J., Lindström, H., Nilsson, F., Reale, M. (2006) Modulus of elasticity of Norway spruce saw logs vs. structural lumber grade. Holz als Roh- und Werkst. 64:273–279.10.1007/s00107-005-0091-7Search in Google Scholar

EN 384:2016+A1:2018. Structural Timber – Determination of Characteristic Values of Mechanical Properties and Density. European Committee for Standardization, Brussels, 2018.Search in Google Scholar

EN 408:2010+A1:2012. Timber Structures – Structural Timber and Glued Laminated Timber – Determination of Some Physical and Mechanical Properties. European Committee for Standardization, Brussels, 2012.Search in Google Scholar

Fischer, C., Vestøl, G.I., Øvrum, A., Høibø, O.A. (2015) Pre-sorting of Norway spruce structural timber using acoustic measurements combined with site-, tree- and log characteristics. Eur. J. Wood Wood Prod. 73:819–828.10.1007/s00107-015-0946-5Search in Google Scholar

Giudiceandrea, F., Ursella, E., Vicario, E. (2011) A high speed CT scanner for the sawmill industry. In: Proceedings 17th International Nondestructive Testing and Evaluation of Wood Symposium, Sopron Hungary, September 14–16, 2011.Search in Google Scholar

Giudiceandrea, F., Ursella, E., Vicario, E., Rais, A. (2016) Increasing the value of strength graded timber by industrial computer tomography. In: World Conference on Timber Engineering, Vienna, Austria.Search in Google Scholar

Hanhijärvi, A., Ranta-Maunus, A. (2008) Development of strength grading of timber using combined measurement techniques. Report of the Combigrade-project – phase 2. VTT Publ. 686 55.Search in Google Scholar

Heräjärvi, H. (2001) Technical properties of mature birch (Betula pendula and B. pubescens) for saw milling in Finland. Silva Fenn. 35:469–485.10.14214/sf.581Search in Google Scholar

Höwler, K., Vor, T., Seidel, D., Annighöfer, P., Ammer, C. (2019) Analyzing effects of intra- and interspecific competition on timber quality attributes of Fagus sylvatica L. – from quality assessments on standing trees to sawn boards. Eur. J. For. Res. 138:327–343.10.1007/s10342-019-01173-7Search in Google Scholar

INSTA 142:2009. Nordic visual strength grading rules for timber, 2009.Search in Google Scholar

Jacobs, M., Rais, A., Pretzsch, H. (2019) Analysis of stand density effects on the stem form of Norway spruce trees and volume miscalculation by traditional form factor equations using terrestrial laser scanning (TLS). Can. J. For. Res. 50:51–64.10.1139/cjfr-2019-0121Search in Google Scholar

Kollmann, F., Krech, H. (1960) Dynamische Messung der elastischen Holzeigenschaften und der Dämpfung Ein Beitrag zur zerstörungsfreien Werkstoffprüfung. Holz als Roh- und Werkst. 18:41–54.10.1007/BF02615616Search in Google Scholar

Krajnc, L., Farrelly, N., Harte, A.M. (2019) Evaluating timber quality in larger-diameter standing trees: rethinking the use of acoustic velocity. Holzforschung 73:797–806.10.1515/hf-2018-0232Search in Google Scholar

Llana, D.F., Íñiguez-González, G., Martínez, R.D., Arriaga, F. (2018) Influence of timber moisture content on wave time-of-flight and longitudinal natural frequency in coniferous species for different instruments. Holzforschung 72:405–411.10.1515/hf-2017-0113Search in Google Scholar

Moore, J.R., Lyon, A.J., Searles, G.J., Lehneke, S.A., Ridley-Ellis, D.J. (2013) Within- and between-stand variation in selected properties of Sitka spruce sawn timber in the UK: implications for segregation and grade recovery. Ann. For. Sci. 70:403–415.10.1007/s13595-013-0275-ySearch in Google Scholar

Nocetti, M., Brunetti, M., Bacher, M. (2015) Effect of moisture content on the flexural properties and dynamic modulus of elasticity of dimension chestnut timber. Eur. J. Wood Wood Prod. 73:51–60.10.1007/s00107-014-0861-1Search in Google Scholar

ÖNORM L 1021: 2013-08-01. Vermessung von Rundholz. Austrian Stand. Inst., 2013.Search in Google Scholar

Oscarsson, J., Olsson, A., Johansson, M., Enquist, B., Serrano, E. (2011) Strength grading of narrow dimension Norway spruce side boards in the wet state using first axial resonance frequency. Int. Wood Prod. J. 2:108–114.10.1179/2042645311Y.0000000015Search in Google Scholar

Øvrum, A. (2013) In-forest assessment of timber stiffness in Norway spruce (Picea abies (L.) Karst.). Eur. J. Wood Wood Prod. 71:429–435.10.1007/s00107-013-0694-3Search in Google Scholar

Pinheiro, J.C., Bates, D.M. Mixed-Effects Models in Sand S-PLUS, Statistics and Computing. Springer, New York, New York, NY, 2000. https://doi.org/10.1007/978-1-4419-0318-1.10.1007/978-1-4419-0318-1Search in Google Scholar

Pretzsch, H., Rais, A. (2016) Wood quality in complex forests versus even-aged monocultures: review and perspectives. Wood Sci. Technol. 50:845–880.10.1007/s00226-016-0827-zSearch in Google Scholar

Rais, A. Growth and wood quality of Douglas-fir. Doctoral thesis. TU München, Freising, Weihenstephan, Germany, 2015.Search in Google Scholar

Rais, A., Pretzsch, H., Van de Kuilen, J.-W.G. (2014) Roundwood pre-grading with longitudinal acoustic waves for production of structural boards. Eur. J. Wood Wood Prod. 72:87–98.10.1007/s00107-013-0757-5Search in Google Scholar

Rais, A., Ursella, E., Vicario, E., Giudiceandrea, F. (2017) The use of the first industrial X-ray CT scanner increases the lumber recovery value: case study on visually strength-graded Douglas-fir timber. Ann. For. Sci. 74:1–9.10.1007/s13595-017-0630-5Search in Google Scholar

Ross, R.J., McDonald, K.A., Green, D.W., Schad, K.C. (1997) Relationship between log and lumber modulus of elasticity. For. Prod. J. 47:89–92.Search in Google Scholar

RVR. Rahmenvereinbarung für den Rohholzhandel in Deutschland (RVR) – 2. Auflage 2015.Search in Google Scholar

Simic, K., Gendvilas, V., O’Reilly, C., Harte, A.M. (2019) Predicting structural timber grade-determining properties using acoustic and density measurements on young Sitka spruce trees and logs. Holzforschung 73:139–149.10.1515/hf-2018-0073Search in Google Scholar

Stapel, P. Strength grading of timber with regard to different grading methods. Doctoral thesis. TU München, 2014.Search in Google Scholar

Todoroki, C.L., Lowell, E.C. (2016) Validation of models predicting modulus of elasticity in Douglas-fir trees, boles, and logs. New Zeal. J. For. Sci. 46:11.10.1186/s40490-016-0067-xSearch in Google Scholar

Trendelenburg, R., Mayer-Wegelin, H. Das Holz als Rohstoff. Carl Hanser-Verlag, München, 1955.Search in Google Scholar

Unterwieser, H., Schickhofer, G. (2007) Pre-grading of sawn timber in green condition. In: Proceedings of Conference of COST Action E53, 15–17 October, Warsaw, Poland, 2007. pp. 161–166.Search in Google Scholar

Unterwieser, H., Schickhofer, G. (2011) Influence of moisture content of wood on sound velocity and dynamic MOE of natural frequency- and ultrasonic runtime measurement. Eur. J. Wood Wood Prod. 69:171–181.10.1007/s00107-010-0417-ySearch in Google Scholar

Van de Kuilen, J.W.G., Blass, H.J. (2004) Mechanical properties of azobé (Lophira alata). Holz als Roh- und Werkst. 63:1–10.10.1007/s00107-004-0533-7Search in Google Scholar

Wang, X., Ross, R.J., McClellan, M., Barbour, R.J., Erickson, J.R., Forsman, J.W., McGinnis, G.D. (2000) Strength and stiffness assessment of standing trees using a nondestructive stress wave technique. Res. Pap. FPL–RP–585. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI, USA. 9 p.Search in Google Scholar

Wilson, T.R.C. (1932) Strength-moisture relations for wood. Tech. Bull. 282, United States Dep. Agric. 1–88.Search in Google Scholar

Zuur, A.F., Ieno, E.N., Walker, N., Saveliev, A.A., Smith, G.M. Mixed effects models and extensions in ecology with R. Springer, New York, NY, 2009. https://doi.org/10.1007/978-0-387-87458-6.10.1007/978-0-387-87458-6Search in Google Scholar

Received: 2019-09-06
Accepted: 2020-01-08
Published Online: 2020-02-11
Published in Print: 2020-10-25

©2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 29.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/hf-2019-0227/html
Scroll to top button