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Application of nonlinear damage accumulation rules for predicting fatigue life of additivelly manufactured composites

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Description

Additively manufactured composites represent an interesting approach for designing structural components with graded material properties. Their layout can be designed and manufactured according to the required functionality of the structure. Moreover, the incremental manufacturing process makes them suitable for the incorporation of embedded sensors. To ensure the environmental sustainability of such structures, they should be made of environmentally friendly building blocks. One such combination of base materials is a composite with a bio-degradable PLA (polylactic acid) matrix and natural flax fibres as reinforcing building elements. In this research work, these composites are manufactured using the fused deposition modelling (FDM) technique. The specimens are designed as a combination of pure PLA filaments and PLA filaments with incorporated long flax fibres. The test specimens are subjected to block-wise loading with variable amplitudes and different loading sequences. To predict the fatigue life of specimens under variable amplitude loading, two nonlinear damage accumulation approaches (i.e. a double linear damage rule – DLDR and a nonlinear damage curve approach – NDCA) are compared to the conventional Palmgren-Miner linear damage accumulation rule.

Reference: VAL5-2024-011

Title: Application of nonlinear damage accumulation rules for predicting fatigue life of additivelly manufactured composites
Author(s): J. Klemenc, J. Kajbic
DOI: 10.48447/VAL5-2024-011
Event: VAL5 - Fifth International Conference on Material and Component Performance under Variable Amplitude Loading
Year of publication: 2024
Publication type: conference paper (PDF)
Language: English
Keywords: Additive manufactures,bio-degradable composites,variable amplitude loading,fatigue life,nonlinear damage accumulation hypotheses

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Automatic operating state identification from load time series through unsupervised learning and fatigue damage regression

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Author(s): B. Spak, M. Schlicht, P. Froitzheim, W. Flügge, M. Kästner

Application of the Local Strain Approach to estimate fatigue life of clinched joints under constant and variable amplitude loading in different loading conditions

Publication type: conference paper (PDF)

English

€25.00

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Author(s): L. Solazzi, A. Mazzoni, N. Danzi, M. Cima

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Fatigue analysis of random variable loads acting on wheels for special off-highway applications from experimental data

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English

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Author(s): A. Halfpenny, S. Vervoort

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Author(s): M. Stoschka, M. Horvath, W. Mössler, F. Grün

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Service strength assessment of macroscopic imperfections in cast steel alloys

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1

English

€25.00

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Author(s): A. Visentin, A. Campagnolo, V. Babini, G. Meneghetti

Fatigue strength assessment of tube-to-flange welded steel joints with reinforcement ribs under variable amplitude loadings according to the Peak Stress Method

Publication type: conference paper (PDF)

English

€25.00

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Author(s): D. Benasciutti

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An efficient algorithm for critical plane search in random multiaxial fatigue based on Maximum Variance Method, 3D matrices and Hadamard’s element-wise product.

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Author(s): A. Niesłony, M. Böhm, M. Sgamma, A. Chiocca, F. Bucchi, F. Frendo

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Author(s): M. Hupka, M. Wächter, A. Esderts

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            [value] => Copper Alloys,Analytical Fatigue Assessment,Component-related Influences
            [id_feature] => 19
            [position] => 10
            [id_feature_value] => 10865
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1

Influence of variable amplitude loading on copper-alloyed components

Publication type: conference paper (PDF)

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    [0] => Array
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            [name] => Title
            [value] => Influence of variable amplitude loading on copper-alloyed components
            [id_feature] => 25
            [position] => 0
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    [1] => Array
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            [name] => Author(s)
            [value] => M.   Hupka, M.   Wächter, A.   Esderts
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            [position] => 1
            [id_feature_value] => 10863
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    [2] => Array
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            [name] => DOI
            [value] => 10.48447/VAL5-2024-042
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            [position] => 2
            [id_feature_value] => 10864
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    [3] => Array
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1

English

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