High frequency modeling methodology of the dynamic properties of fiber-reinforced thermoplastic composite

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Abstract This article presents a methodology for the high frequency modeling of the dynamic properties of glass fiber-reinforced thermoplastic matrix composite (GFRTP) materials used in automotive applications. Specifically, the homogenized complex modulus of the composite is characterized in a wide frequency range, up to 2000 Hz, using transmissibility functions obtained by seismic excitation. An accurate novel material model is presented together with an efficient one-dimensional numerical procedure based on the Euler-Bernoulli beam theory and two-dimensional Mindlin-Reissner plate theory, where the robustness of the model parameter identification process is validated through the combination of the Nelder-Mead nonlinear optimization and particle swarm optimization (PSO) algorithms. As a result, a new methodology is presented to accurately model the high-frequency dynamic behavior of the GFRTP material from experimental transmissibility functions. While the two\-/dimensional method achieves a more accurate fit to the experimental data, the one-dimensional method delivers a reliable approximation, offering computational efficiency and greater ease of implementation.
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High frequency modeling methodology of the dynamic properties of fiber-reinforced thermoplastic composite | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article High frequency modeling methodology of the dynamic properties of fiber-reinforced thermoplastic composite David Miñón Alonso, Jon García-Barruetabeña, Beatriz Achiaga This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7885892/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This article presents a methodology for the high frequency modeling of the dynamic properties of glass fiber-reinforced thermoplastic matrix composite (GFRTP) materials used in automotive applications. Specifically, the homogenized complex modulus of the composite is characterized in a wide frequency range, up to 2000 Hz, using transmissibility functions obtained by seismic excitation. An accurate novel material model is presented together with an efficient one-dimensional numerical procedure based on the Euler-Bernoulli beam theory and two-dimensional Mindlin-Reissner plate theory, where the robustness of the model parameter identification process is validated through the combination of the Nelder-Mead nonlinear optimization and particle swarm optimization (PSO) algorithms. As a result, a new methodology is presented to accurately model the high-frequency dynamic behavior of the GFRTP material from experimental transmissibility functions. While the two-/dimensional method achieves a more accurate fit to the experimental data, the one-dimensional method delivers a reliable approximation, offering computational efficiency and greater ease of implementation. Composites Dynamic characterization Finite element method Thermoplastic Fiber-reinforced Viscoelasticity Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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