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Stochastic RBFN-based reliability estimation of variable fiber spacing composite plates under thermal loading

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Abstract

Stochastic reliability analysis is performed in the present work for variable fiber spacing composite (VFSC) laminates. The finite element model here is developed with third-order shear deformation theory (TSDT) to estimate buckling performance under thermal loading. The reliability analysis is performed with the first-order reliability method (FORM) and with the radial basis function network (RBFN) model as well. Further RBFN-based surrogate model is utilized for stochastic analysis, which is highly efficient and possesses a close match with traditionally used Monte Carlo simulation (MCS). The sensitivity of each input parameter is investigated, out of which the thermal expansion coefficient of the matrix (\(\alpha _m\)) is found to be the most sensitive one.

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Authors and Affiliations

  1. Department of Aerospace Engineering, Indian Institute of Technology, Kharagpur, Kharagpur, West Bengal, 721302, India

    Prateek Chandrakar, Narayan Sharma & Dipak Kumar Maiti

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  1. Prateek Chandrakar
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  2. Narayan Sharma
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  3. Dipak Kumar Maiti
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Correspondence to Prateek Chandrakar.

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Chandrakar, P., Sharma, N. & Maiti, D.K. Stochastic RBFN-based reliability estimation of variable fiber spacing composite plates under thermal loading. Int J Adv Eng Sci Appl Math (2023). https://doi.org/10.1007/s12572-023-00335-6

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