A New Ship and Offshore System Design Methodology Integrating CFD, HPC, Optimization and Virtual Reality

A New Ship and Offshore System Design Methodology Integrating CFD, HPC, Optimization and Virtual Reality | 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 Method Article A New Ship and Offshore System Design Methodology Integrating CFD, HPC, Optimization and Virtual Reality Vitor Costa Dias, Thiago Pontin Tancredi, Guilherme Rodrigo Maier, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8224046/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Apr, 2026 Read the published version in Marine Systems & Ocean Technology → Version 1 posted 10 You are reading this latest preprint version Abstract Ship and offshore design is a complex engineering process involving the integration of multiple interdependent systems, requiring a balance between performance, safety, and feasibility. Traditional methodologies rely on iterative cycles and fragmented data exchange, often leading to inefficiencies, incompatibilities, and design inconsistencies. To address these challenges, this paper proposes an innovative approach inspired by Building Information Modeling (BIM), integrating Computational Fluid Dynamics (CFD), High-Performance Computing (HPC), and Virtual Reality (VR) technologies to enhance the design process. Central to this framework is Synapse, a multidisciplinary optimization platform that facilitates the seamless coupling of simulation tools within a user-friendly and collaborative environment. The process begins with a parametric hull modeling system, allowing dynamic adjustment of design variables based on user-defined criteria. Initial analyses rely on well established hydrodynamic methods, followed by CFD simulations. The use of HPC resources then enables extensive design space exploration through parallel simulations and optimization tasks, significantly improving execution time and scalability. Finally, VR interfaces provide immersive 3D visualization of final configurations, promoting intuitive exploration, effective validation, and enhanced communication among multidisciplinary teams. As a practical demonstration, the proposed methodology was applied to the optimization of a real-world mooring system currently in operation, achieving a 19% reduction in anchor loads. This result validates the frameworks effectiveness in delivering measurable and tangible performance improvements. ship design Optimization Design methodology Virtual Reality HPC Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 29 Apr, 2026 Read the published version in Marine Systems & Ocean Technology → Version 1 posted Editorial decision: Revision requested 05 Jan, 2026 Reviews received at journal 23 Dec, 2025 Reviews received at journal 18 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 05 Dec, 2025 Reviewers agreed at journal 04 Dec, 2025 Reviewers invited by journal 04 Dec, 2025 Editor assigned by journal 02 Dec, 2025 Submission checks completed at journal 01 Dec, 2025 First submitted to journal 27 Nov, 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. 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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-8224046","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Method Article","associatedPublications":[],"authors":[{"id":556319625,"identity":"2a9e6222-3090-4062-a5fc-6b3f38573633","order_by":0,"name":"Vitor Costa 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