Quantitative Mapping of Computational Creep Modelling Research: A Bibliometric Review of Models Development, Performance and Adoption

Quantitative Mapping of Computational Creep Modelling Research: A Bibliometric Review of Models Development, Performance and Adoption | 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 Systematic Review Quantitative Mapping of Computational Creep Modelling Research: A Bibliometric Review of Models Development, Performance and Adoption Mohsin Sattar, Jan Hosek, Sarka Nemcova, Uliana Finaeva, Krzysztof Skrzypkowski, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6666020/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 The long-term reliability of structural components operating under high-temperature and stress conditions is critically influenced by creep deformation and rupture. To address this, a wide array of computational creep life assessment models has emerged over the past decade, incorporating empirical, phenomenological, and artificial intelligence (AI)-assisted approaches. This study presents a quantitative bibliometric analysis of global research output from 2012 to 2025, with a focus on the development, performance, and adoption of computational creep models. Using data from Scopus, ScienceDirect, and Google Scholar, and analytical tools such as VOSviewer, this work maps publication trends, influential authors, institutional affiliations, and research clusters. The analysis categorizes key modeling approaches—ranging from classical constitutive laws to advanced continuum damage mechanics and hybrid AI-physics models—while highlighting their industrial relevance in sectors such as power generation, aerospace, and petrochemicals. Furthermore, it identifies underexplored areas, regional disparities, and evolving research frontiers. This study offers critical insights into the trajectory of creep modeling research and provides guidance for future development of more robust, predictive, and computationally efficient creep assessment frameworks. creep deformation creep lifecycle assessment creep rupture creep models systematic literature review 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. 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To address this, a wide array of computational creep life assessment models has emerged over the past decade, incorporating empirical, phenomenological, and artificial intelligence (AI)-assisted approaches. This study presents a quantitative bibliometric analysis of global research output from 2012 to 2025, with a focus on the development, performance, and adoption of computational creep models. Using data from Scopus, ScienceDirect, and Google Scholar, and analytical tools such as VOSviewer, this work maps publication trends, influential authors, institutional affiliations, and research clusters. The analysis categorizes key modeling approaches\u0026mdash;ranging from classical constitutive laws to advanced continuum damage mechanics and hybrid AI-physics models\u0026mdash;while highlighting their industrial relevance in sectors such as power generation, aerospace, and petrochemicals. 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