Modeling approach to estimate the bending strength and failure mechanisms of glued laminated timber beams

Vida, Christoffer; Lukacevic, Markus; Eberhardsteiner, Josef; Füssl, Josef

doi:10.1016/j.engstruct.2022.113862

Cited by 18 publications

(14 citation statements)

References 22 publications

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“…Thanks to the continuous increase in data availability, data-centric modelling has become a viable option and seems to be a promising approach in dealing with complex systems. An attempt in this direction is a method for generating finite-element models of wood lamellae from X-ray computed tomography scans [ 21 , 23 ]. The authors of this study used the tomography scans to determine the density distribution and reconstruct the geometry, pith, knots and local fibre orientations of board samples.…”

Section: From Pixels To Propertiesmentioning

confidence: 99%

Probing the complexity of wood with computer vision: from pixels to properties

Lukovic,

Ciernik,

Müller

et al. 2024

J. R. Soc. Interface.

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We use data produced by industrial wood grading machines to train a machine learning model for predicting strength-related properties of wood lamellae from colour images of their surfaces. The focus was on samples of Norway spruce ( Picea abies ) wood, which display visible fibre pattern formations on their surfaces. We used a pre-trained machine learning model based on the residual network ResNet50 that we trained with over 15 000 high-definition images labelled with the indicating properties measured by the grading machine. With the help of augmentation techniques, we were able to achieve a coefficient of determination ( R 2 ) value of just over 0.9. Considering the ever-increasing demand for construction-grade wood, we argue that computer vision should be considered a viable option for the automatic sorting and grading of wood lamellae in the future.

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Section: From Pixels To Propertiesmentioning

confidence: 99%

Probing the complexity of wood with computer vision: from pixels to properties

Lukovic,

Ciernik,

Müller

et al. 2024

J. R. Soc. Interface.

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“…In the next step, the implementation of more advanced crack modelling techniques [11,13] will also allow to represent in more detail the variability of, e.g., the strength properties of such timber products, leading to even better performance predictions, which have already successfully been shown for studying the so-called size effect of glulam [14,15].…”

Section: Clt and Moisturementioning

confidence: 99%

Innocrosslam - Adding Knowledge Towards Increased Use of Cross Laminated Timber (Clt)

Azinović

Serrano

Danielsson

et al. 2023

World Conference on Timber Engineering (WCTE 2023)

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The research project Innovative Solutions for Cross Laminated Timber Structures (InnoCrossLam) was recently finished. The project aimed at increasing the competitiveness of CLT as a versatile engineered product, by increasing its predictability in demanding design situations not covered by the guidelines of today, or standards and codes foreseeable in the near future (e.g., second generation of European design standards). This paper summarises the main project findings in the context of innovative CLT structures, such as: i. contemporary design approaches ii. the use of (non)linear FE modelling iii. experimental investigation of complex details for CLT structures, iv. investigation of multifunctional CLT. In this paper, the motivation behind the research topics within the project InnoCrossLam is explained and backed-up by exemplary results and discussion on future work.

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“…Based on an exact simulation using geometrical reconstructions of wooden boards with knots [17], homogenization procedures allow deriving metamodels similar to those in [21]. Such a simplified model allows the application to larger-scale structures or tasks, e.g., for the failure prediction of GTL beams [37], size-effect studies in GLT beams [38] or optimization of GLT beams [26].…”

Section: Conclusion and Summarymentioning

confidence: 99%

Simulation of Wood Fracture Mechanics Using the Phase Field Method for Fracture

Pech

Lukacevic

Füssl

2023

World Conference on Timber Engineering (WCTE 2023)

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Fracture mechanics simulations play a crucial role in predicting the failure of materials in various engineering applications. However, modeling fracture in inhomogeneous materials with complex microstructures is challenging. This work applies a non-brittle hybrid multi-phase field model to simulate wood failure. The approach is based on a stress-based split for orthotropic materials and includes multiple phase field variables, incorporating preferable fracture planes. The proposed model is initially applied to two examples, single-edge notched plates with varying fiber inclines and a wooden board with a single knot and spatially varying fiber directions. Both examples show that the model covers the effect of the wood microstructure on macroscopic crack propagation. Subsequently, the model is validated on experimental studies from the literature. We show that by choosing the input parameters, the tensile strength and the fracture energy release rate, in a reasonable range for wood, the model agrees well with the results of the experimental studies. Those findings open the application of the model to more complex situations like wooden boards with multiple knots and show that the used input parameters are not model-specific numerically tuned parameters but rather materialspecific quantities.

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Modeling approach to estimate the bending strength and failure mechanisms of glued laminated timber beams

Cited by 18 publications

References 22 publications

Probing the complexity of wood with computer vision: from pixels to properties

Probing the complexity of wood with computer vision: from pixels to properties

Innocrosslam - Adding Knowledge Towards Increased Use of Cross Laminated Timber (Clt)

Simulation of Wood Fracture Mechanics Using the Phase Field Method for Fracture

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