Simulation of failure in timber with structural inhomogeneities using an automated FE analysis

Jenkel, Christian; Kaliske, Michael

doi:10.1016/j.compstruc.2017.11.016

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…Je nach gewünschten Analyseergebnissen kann die Unschärfe der Materialparameter und Belastungen, z. B. aufgrund der natürlichen Variation oder Ungewissheit durch Modellierungen der Wahrscheinlichkeit oder Möglichkeit , berücksichtigt werden. Publikationen mit detaillierten Beschreibungen der einzelnen Modelle sind in Tab.…”

Section: Finite‐elemente‐modellierungunclassified

Neue numerische Simulation für alte Holzkonstruktionen

2020

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Section: Finite‐elemente‐modellierungunclassified

Neue numerische Simulation für alte Holzkonstruktionen

2020

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“…Structural inhomogeneity is caused, e.g. by branches which are included as knot geometries within timber components, see [3]. The materials of wood matrix and knots show different characteristics, which yields discontinuities in the results of structural analyses.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Glulam Beams with Spatially Dependent Polymorphic Uncertainty Modeling of Structural Inhomogeneity in Virtual Boards

Schietzold

Richter

Graf

et al. 2023

Proc Appl Math and Mech

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Several uncertainties are induced by the natural growth of wood. The properties of timber components are affected by naturally varying material characteristics. In addition, structural inhomogeneity has to be accounted for solid wood components. Structural inhomogeneity is dependent on, e.g., natural fissures, inclusions, and especially branches that pervade wooden boards. Those pervasions result in timber boards containing multiple scattered knots.Polymorphic uncertainty models are required to account for diverse uncertainty characteristics. Natural variability and lack of knowledge are persistent for the uncertainty modeling of natural materials, such as wood. To incorporate those aleatoric and epistemic uncertainty characteristics, uncertainty analyses are performed based on combined fuzzy and stochastic models.In this contribution, fuzzy probability based random fields are proposed as polymorphic uncertainty approach, with respect to spatial dependencies of the uncertain variables. Methods for the simulation of timber boards are introduced, where knots are established referred to the specific position of the tree trunk axis and spread over the components.Glulam beams, containing multiple slats of wooden boards, are investigated for bending load cases as numerical example. The tensile zone is simulated with knots in the timber boards. The basic deterministic solution is performed with a localorthotropic material formulation, with respect to the grain directions of the wood matrix and knots. Therefore, the knots are discretized separately in the FE mesh. Distinct material properties and grain directions are assigned to the discrete knots and to the surrounding wood matrix, while the grain directions are dependent on the tree trunk axis.Both, stochastic and fuzzy models are used in field formulations for the spatially dependent polymorphic uncertainties. The knottiness of timber boards -specified by parameters of knot geometry, location and incidence -is dependent on the wood grade. In this contribution, methods for decision making of glulam beam designs are suggested. For this purpose, several design variables are examined. First, the knottiness or wood grade, where a higher grade results in reduced structural inhomogeneity, and second, the thickness of the slats in the glulam beam are considered. Both aspects influence the reliability and robustness of the component, but affect the costs. The maximum endurance of the glulam beam under bending is desired. Therefore, an optimization of the glulam beam design is performed, with respect to the multiple conflicting objectives.

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“…However, a large number of data samples were needed to calculate modulus of elasticity, static bending stiffness and bending strength. C. Jenkel applied the nite element method to analyze the wood with the characteristics of structural inhomogeneity, and establishes the models of elastic, plastic and macroscopic fracture material on the basis of some geometric data obtained by surface scanning [34]. However, this method was used to represent the mechanical properties of homogeneous wood, free of inhomogeneities, and did not perform real-time location and mechanical performance veri cation on the actual position of knots of lumber.…”

Section: Introductionmentioning

confidence: 99%

Knots searching and location of Chinese Fir (Cunninghamia lanceolata(lamb.) hook) constructional lumber from Fujian province, China: using contour fitting and extraction method

Zhang

et al. 2022

Preprint

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This study focuses on studying knots searching and location of Fujian Chinese Fir(FCF) constructional lumber(CL), Combining with the surface characteristics of FCF, a method for locating defects in the knots of FCF CL was developed. Combining with the surface characteristics of FCF CL, searching and locating the knots position at the trough of the profile line. The effect of knot in different position on the modulus of elasticity and the bending strength of FCF CL was studied by mechanical testing machine. This method can be used to calculate the surface defects of lumber quickly and comprehensively, so as to achieve the classification and evaluation of FCF CL according to the standard. This study is of great significance in intelligent detection, efficient production and full utilization of CL, and promotes the safe, stable and green application and development of building materials.

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Simulation of failure in timber with structural inhomogeneities using an automated FE analysis

Cited by 11 publications

References 15 publications

Neue numerische Simulation für alte Holzkonstruktionen

Neue numerische Simulation für alte Holzkonstruktionen

Optimization of Glulam Beams with Spatially Dependent Polymorphic Uncertainty Modeling of Structural Inhomogeneity in Virtual Boards

Knots searching and location of Chinese Fir (Cunninghamia lanceolata(lamb.) hook) constructional lumber from Fujian province, China: using contour fitting and extraction method

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