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    Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites

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    Type
    Conference Paper
    Authors
    Nasution, Muhammad Ridlo Erdata
    Palar, Pramudita S.
    Hadi, Bambang K.
    Widagdo, Djarot
    Zuhal, Lavi
    Yudhanto, Arief cc
    KAUST Department
    Physical Science and Engineering (PSE) Division
    Date
    2022-01-03
    Permanent link to this record
    http://hdl.handle.net/10754/674899
    
    Metadata
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    Abstract
    In this paper, uncertainty quantification and sensitivity analysis are performed for investigating the equivalent in-plane thermo-mechanical properties of 3-D orthogonal interlock composites. The composite properties are calculated based on the asymptotic expansion homogenization method omitting out-of-plane periodicity. The analysis herein employs 17 independent properties of constituents as inputs whereby six homogenized properties of composites become the quantity of interests (QOIs). Polynomial chaos expansion (PCE) is used to quantify the output uncertainty and the variance-based sensitivity indices. Two cases are investigated to understand the effects of material variation of constituents on each output of interest. The results show that the PCE model is highly accurate in quantifying the statistical outputs. Furthermore, acceptable accuracy for all QOIs is obtained by 100 sampling points. It is also found that material selection of constituents will determine the importance of input parameters in the calculation of QOIs.
    Citation
    Nasution, M. R. E., Palar, P. S., Hadi, B. K., Widagdo, D., Zuhal, L., & Yudhanto, A. (2022). Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites. AIAA SCITECH 2022 Forum. doi:10.2514/6.2022-1435
    Sponsors
    Pramudita Satria Palar and Lavi Rizki Zuhal were funded in part through the Program Riset ITB 2021 administered by Institut Teknologi Bandung, Republic of Indonesia.
    Publisher
    American Institute of Aeronautics and Astronautics
    Conference/Event name
    AIAA SCITECH 2022 Forum
    DOI
    10.2514/6.2022-1435
    Additional Links
    https://arc.aiaa.org/doi/10.2514/6.2022-1435
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2022-1435
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division

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