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Numerical Modelling of Stochastic Fatigue Damage Accumulation in Thick Composites

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European Workshop on Structural Health Monitoring (EWSHM 2020)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 128))

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Abstract

In an earlier research, experimental evidence was given on the ability to use Piezo Wafer Active Sensors and acousto-ultrasonics to monitor the accumulation of fatigue damage in a thick composite structure. As a next step, numerical models are investigated as they aid in the further understanding of the governing phenomena and a quantification of the accumulated damage. However, they suffer from high computational demands, due to a high mesh density, the stochastic nature of crack initiation and the combination of initiation and propagation of cracks.

The Polynomial Chaos Expansion (PCE) method is employed to efficiently make meta models and, with these models, account for the stochastic behaviour of crack initiation and formation of delaminations. The meta models thus allow predicting the overall effect of damage accumulations within certain bounds of uncertainty. This aids in the quantification of damage accumulation, hence allowing for a damage severity estimation based on the experimental results.

The input for the PCE method is a 2D Finite Element (FE) model. Cracks and delaminations are generated using Random Variables (RV) describing the geometrical position and length and orientation. Moreover, the number of cracks and delaminations is randomized as well. The necessary remeshing is done automatically, allowing for a completely automated simulation for a large number of FE simulations to feed the PCE model.

Several Quantities of Interests (QoI) are defined and tested against their sensitivity to the increasing amount of damage accumulation. A global sensitivity analysis is used to identify the importance of each of the Random Variables. Random variables with a low sensitivity can be eliminated from the analysis, improving the efficiency.

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Author information

Authors and Affiliations

  1. Dynamics Based Maintenance, University of Twente, P.O. Box 217, 7500AE, Enschede, The Netherlands

    Richard Loendersloot

  2. Mechatronics Laboratory, New Technologies Research Center (NTRC), Amirkabir University of Technology, Tehran, Iran

    M. Ehsani & M. Shamshirsaz

  3. Faculty of Mechanical and Mechatronic Engineering, Shahrood University of Technology, Shahrood, Iran

    N. Sepehry

Authors
  1. Richard Loendersloot
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  2. M. Ehsani
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  3. N. Sepehry
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  4. M. Shamshirsaz
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Corresponding author

Correspondence to Richard Loendersloot .

Editor information

Editors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA

    Piervincenzo Rizzo

  2. Department of Engineering, Università degli Studi di Palermo, Palermo, Italy

    Alberto Milazzo

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Loendersloot, R., Ehsani, M., Sepehry, N., Shamshirsaz, M. (2021). Numerical Modelling of Stochastic Fatigue Damage Accumulation in Thick Composites. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2020. Lecture Notes in Civil Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-64908-1_72

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  • DOI: https://doi.org/10.1007/978-3-030-64908-1_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64907-4

  • Online ISBN: 978-3-030-64908-1

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