Development of Ultrasonic Model-Based Iterative Reconstruction Technique For Concrete Structures With Corroded Rebars

Development of Ultrasonic Model-Based Iterative Reconstruction Technique For Concrete Structures With Corroded Rebars | 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 Article Development of Ultrasonic Model-Based Iterative Reconstruction Technique For Concrete Structures With Corroded Rebars Abdulrahman M. Alanazi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7694172/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Dec, 2025 Read the published version in Scientific Reports → Version 1 posted 14 You are reading this latest preprint version Abstract Ensuring the durability of reinforced concrete structures is a central challenge in structural health monitoring (SHM). Corrosion of embedded steel rebars is among the most common and damaging deterioration mechanisms, yet its early detection remains difficult due to the complexity of wave propagation in concrete and the presence of strong clutter from surface layers and structural heterogeneity. Ultrasonic imaging provides a promising nondestructive tool, but conventional reconstruction approaches often suffer from limited contrast and high background interference. In this work, we propose a baseline subtraction method using ultrasonic model-based iterative reconstruction (UMBIR) to enhance the visibility of rebars and their corrosion states. The method integrates baseline subtraction into the UMBIR framework, suppressing dominant direct arrivals and low-rank background responses while preserving target-related signals. This formulation improves robustness to modeling errors and limited array coverage, both of which are common in practical SHM applications. Synthetic experiments based on a realistic concrete specimen with an embedded rebar demonstrate the advantages of the proposed approach compared to the conventional UMBIR. The proposed method achieves stronger suppression of clutter, sharper localization of the rebar, and improved preservation of contrast across varying corrosion levels. These results provide more reliable and interpretable reconstructions, advancing the use of ultrasonic imaging for nondestructive evaluation, and long-term monitoring of critical infrastructure. Physical sciences/Engineering Physical sciences/Materials science Non-destructive testing structural health monitoring ultrasonic imaging model-based inversion baseline cancellation principle component analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 01 Dec, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 17 Oct, 2025 Reviews received at journal 14 Oct, 2025 Reviews received at journal 10 Oct, 2025 Reviews received at journal 01 Oct, 2025 Reviewers agreed at journal 29 Sep, 2025 Reviewers agreed at journal 29 Sep, 2025 Reviewers agreed at journal 27 Sep, 2025 Reviewers agreed at journal 27 Sep, 2025 Reviewers agreed at journal 27 Sep, 2025 Reviewers invited by journal 27 Sep, 2025 Editor invited by journal 26 Sep, 2025 Editor assigned by journal 25 Sep, 2025 Submission checks completed at journal 24 Sep, 2025 First submitted to journal 23 Sep, 2025 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-7694172","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":525982623,"identity":"9addfa14-d40c-4baf-a94b-435d2bb4728a","order_by":0,"name":"Abdulrahman M. 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Corrosion of embedded steel rebars is among the most common and damaging deterioration mechanisms, yet its early detection remains difficult due to the complexity of wave propagation in concrete and the presence of strong clutter from surface layers and structural heterogeneity. Ultrasonic imaging provides a promising nondestructive tool, but conventional reconstruction approaches often suffer from limited contrast and high background interference.\nIn this work, we propose a baseline subtraction method using ultrasonic model-based iterative reconstruction (UMBIR) to enhance the visibility of rebars and their corrosion states. The method integrates baseline subtraction into the UMBIR framework, suppressing dominant direct arrivals and low-rank background responses while preserving target-related signals. This formulation improves robustness to modeling errors and limited array coverage, both of which are common in practical SHM applications. Synthetic experiments based on a realistic concrete specimen with an embedded rebar demonstrate the advantages of the proposed approach compared to the conventional UMBIR. The proposed method achieves stronger suppression of clutter, sharper localization of the rebar, and improved preservation of contrast across varying corrosion levels. 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