Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis

This study presents the experimental and computational investigation of Norway spruce wood's quasi-static and fatigue behaviour under three-point bending loading conditions, temperature of 20 °C and humidity of 65 %. The quasi-static experimental tests were performed for radial and tangential w...

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Published in:Case Studies in Construction Materials
Main Authors: Branko Nečemer, Jure Fakin, Srečko Glodež, Matjaž Šraml, Jernej Klemenc, Gorazd Fajdiga
Format: Article
Language:English
Published: Elsevier 2025-07-01
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525005327
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author Branko Nečemer
Jure Fakin
Srečko Glodež
Matjaž Šraml
Jernej Klemenc
Gorazd Fajdiga
author_facet Branko Nečemer
Jure Fakin
Srečko Glodež
Matjaž Šraml
Jernej Klemenc
Gorazd Fajdiga
author_sort Branko Nečemer
collection DOAJ
container_title Case Studies in Construction Materials
description This study presents the experimental and computational investigation of Norway spruce wood's quasi-static and fatigue behaviour under three-point bending loading conditions, temperature of 20 °C and humidity of 65 %. The quasi-static experimental tests were performed for radial and tangential wood fibre orientation, while the fatigue tests were performed only for tangential orientation and evaluated using a conditional two-parametric Weibull's probability density function. A computational model was developed and calibrated in the computational simulation by comparing the mechanical responses in both radial and tangential wood fibre orientation. Furthermore, the computational model was enhanced by incorporating the S – N curve derived from prior experimental fatigue tests. From the results of quasi-static tests, it was obtained that the tangential wood fibre orientations withstand higher strength (for approximately 7 %) than the radial wood fibre orientation. When determining the constitutive material parameters, the inverse optimisation procedure with a Genetic Algorithm showed a deviation between the numerical and experimental responses of 2.06 % for the radial fibre orientation and 2.33 % for the tangential fibre orientation. Based on this finding, the proposed computational model was calibrated and can be used further for the numerical simulations of the bending quasi-static and fatigue behaviour of structural elements made of spruce wood.
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spelling doaj-art-e7bb4fde19b84ce585d391542d4738f22025-08-20T02:15:16ZengElsevierCase Studies in Construction Materials2214-50952025-07-0122e0473410.1016/j.cscm.2025.e04734Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysisBranko Nečemer0Jure Fakin1Srečko Glodež2Matjaž Šraml3Jernej Klemenc4Gorazd Fajdiga5University of Maribor, Faculty of Mechanical Engineering, Smetanova 17, Maribor SI-2000, Slovenia; Corresponding author.University of Maribor, Faculty of Mechanical Engineering, Smetanova 17, Maribor SI-2000, SloveniaUniversity of Maribor, Faculty of Mechanical Engineering, Smetanova 17, Maribor SI-2000, SloveniaUniversity of Maribor, Faculty of Civil Eng., Transportation Eng. and Architecture, Smetanova 17, Maribor SI-2000, SloveniaUniversity of Ljubljana, Faculty of Mechanical Engineering, Aškerčeva 6, Ljubljana SI-1000, SloveniaUniversity of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, Ljubljana SI-1000, SloveniaThis study presents the experimental and computational investigation of Norway spruce wood's quasi-static and fatigue behaviour under three-point bending loading conditions, temperature of 20 °C and humidity of 65 %. The quasi-static experimental tests were performed for radial and tangential wood fibre orientation, while the fatigue tests were performed only for tangential orientation and evaluated using a conditional two-parametric Weibull's probability density function. A computational model was developed and calibrated in the computational simulation by comparing the mechanical responses in both radial and tangential wood fibre orientation. Furthermore, the computational model was enhanced by incorporating the S – N curve derived from prior experimental fatigue tests. From the results of quasi-static tests, it was obtained that the tangential wood fibre orientations withstand higher strength (for approximately 7 %) than the radial wood fibre orientation. When determining the constitutive material parameters, the inverse optimisation procedure with a Genetic Algorithm showed a deviation between the numerical and experimental responses of 2.06 % for the radial fibre orientation and 2.33 % for the tangential fibre orientation. Based on this finding, the proposed computational model was calibrated and can be used further for the numerical simulations of the bending quasi-static and fatigue behaviour of structural elements made of spruce wood.http://www.sciencedirect.com/science/article/pii/S2214509525005327Spruce woodFatigue behaviourExperimental testingInverse optimisationNumerical simulations
spellingShingle Branko Nečemer
Jure Fakin
Srečko Glodež
Matjaž Šraml
Jernej Klemenc
Gorazd Fajdiga
Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
Spruce wood
Fatigue behaviour
Experimental testing
Inverse optimisation
Numerical simulations
title Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
title_full Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
title_fullStr Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
title_full_unstemmed Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
title_short Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis
title_sort bending quasi static and fatigue behaviour of norway spruce wood using experimental approach and fem analysis
topic Spruce wood
Fatigue behaviour
Experimental testing
Inverse optimisation
Numerical simulations
url http://www.sciencedirect.com/science/article/pii/S2214509525005327
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