Asymptotically correct dimensional reduction of Fung orthotropic model using VAM

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This preprint studies how to derive an asymptotically accurate 2D nonlinear constitutive law for a compressible orthotropic Fung model, incorporating both geometric nonlinearity from finite displacements/rotations and material nonlinearity from a hyperelastic model, using the Variational Asymptotic Method (VAM). The authors split the problem using small parameters into a through-thickness 1D analysis that yields 3D warping functions, a 2D nonlinear constitutive law, and 3D recovery relations, and a mid-surface 2D nonlinear finite element method to compute 2D displacements/strains, then recover 3D fields. Accuracy and reliability are checked against standard test cases and compared with results from FEA software, but the work is a preprint and not peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Asymptotically correct dimensional reduction of Fung orthotropic model using VAM | 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 Asymptotically correct dimensional reduction of Fung orthotropic model using VAM Shravan Kumar Bhadoria, Ramesh Gupta Burela This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6637938/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 study aims to derive an asymptotically accurate 2D non-linear constitutive law for the compressible orthotropic Fung model. This is achieved using the Variational Asymptotic Method (VAM). The model accounts for geometric nonlinearity due to finite displacements and rotations and material nonlinearity due to the hyperelastic material model. VAM splits the analysis into 2 parts using the inherent small parameters (geometric and physical small parameters). The first part involves analyzing through the thickness (1D analysis), while the second focuses on mid-surface analysis (2D). The 1D analysis derives analytical expressions for the 3D warping functions, 2D non-linear constitutive law, and 3D recovery relations. For the mid-surface analysis, a 2D non-linear finite element method is employed. This method uses the derived 2D non-linear constitutive law to find the 2D displacements and strains. After that, the 3D displacements are derived using recovery relations. The method’s accuracy and reliability is verified by applying it to standard test cases and comparing the results with those obtained from the FEA software. Orthotropic Fung model Dimensional reduction Asymptotics Geometric and material nonlinearity Constitutive law VAM Nonlinear FEA 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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