Parametric Optimization of Frequency-Selective Thermal Excitation for Depth-Dependent Defect Detection in GFRP Composites

Parametric Optimization of Frequency-Selective Thermal Excitation for Depth-Dependent Defect Detection in GFRP Composites | 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 Parametric Optimization of Frequency-Selective Thermal Excitation for Depth-Dependent Defect Detection in GFRP Composites Yu Jianping, Wang Jiayi, Du Weixiang, Ren Baocun, Yue Yajing, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7311724/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 Despite significant advances in infrared thermography, most existing studies are confined to single defect types or excitation modes. This work pioneers a coupled spectrum-thermal response analysis of four excitation modalities: continuous heating, Absolute-Value Sinusoidal, pulsed (square/triangular/sawtooth wave), and step heating, revealing that their "optimality" depends on defect characteristics (type/depth) and detection objectives. Focusing on inclusion defects in GFRP composites, a COMSOL-based 1D model demonstrates excellent agreement with experimental data (r≈0.999, MAE≈0.072°C, RMSE≈0.068°C).Key findings indicate that continuous heating suits deep defects while pulsed excitation favors shallow ones, with square waves (1s period, 50% duty cycle) proving optimal. Fourier series decomposition elucidates the underlying frequency-selective matching mechanism, establishing a theoretical framework for optimizing thermal excitation parameters in composite nondestructive testing. Inclusion defects GFRP Thermal excitation optimization Infrared thermography Numerical simulation 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7311724","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":554852213,"identity":"64996ad1-06d3-4e49-bb91-71fb849670a7","order_by":0,"name":"Yu 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