Hydraulic Performance Optimization of Airfoil Weir-Orifice Facilities Based on Improved Hicks-Henne Shape Function and MOPSO Algorithm

Hydraulic Performance Optimization of Airfoil Weir-Orifice Facilities Based on Improved Hicks-Henne Shape Function and MOPSO Algorithm | 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 Hydraulic Performance Optimization of Airfoil Weir-Orifice Facilities Based on Improved Hicks-Henne Shape Function and MOPSO Algorithm Bin Sun, Xiangyang Liu, Lianghan Hu, Hangbing Zhao, Zhiwei LI, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5713946/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract In order to better measure and control the flow rate in open channel systems, this study proposes a hydraulic performance optimization system for airfoil weir facilities. The optimization system is built around three essential modules: the modified Hicks-Henne shape function, CFD numerical simulation, and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, which are central to airfoil shape reconstruction. In a specific example with a flow rate of 0.033 m³/s and a rotation angle of 15°, optimization concepts for head loss and submergence were applied. The results show that the optimized design reduced head loss by 9.14% and increased submergence by 5.99%. Moreover, the optimized design demonstrated excellent hydraulic performance under different angles and flow conditions. To further validate the optimization effect, the flow rate formula was derived using the π-theorem in dimensional analysis and the theory of incomplete similarity. The results indicate that the optimized airfoil weir facility’s flow rate formula is more accurate with significantly reduced errors. This study provides strong theoretical and practical support for the design and optimization of similar hydraulic structures. airfoil weir-orifice facilitiy improved Hicks-Henne junction hydraulic performance optimization MOPSO algorithm numerical simulation Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 14 Jan, 2025 Reviewers invited by journal 14 Jan, 2025 Editor assigned by journal 26 Dec, 2024 First submitted to journal 25 Dec, 2024 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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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-5713946","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":402053064,"identity":"faf54808-c3d8-4b16-b23b-ae4a8a6f5a5c","order_by":0,"name":"Bin Sun","email":"","orcid":"","institution":"Zhengzhou daxue shuili yu jiaotong xueyuan: Zhengzhou University School of Water Conservancy and Transportation","correspondingAuthor":false,"prefix":"","firstName":"Bin","middleName":"","lastName":"Sun","suffix":""},{"id":402053065,"identity":"4ac9e73c-b234-4f9f-9cd3-d7bf16e820de","order_by":1,"name":"Xiangyang 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The optimization system is built around three essential modules: the modified Hicks-Henne shape function, CFD numerical simulation, and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, which are central to airfoil shape reconstruction. In a specific example with a flow rate of 0.033 m\u0026sup3;/s and a rotation angle of 15\u0026deg;, optimization concepts for head loss and submergence were applied. The results show that the optimized design reduced head loss by 9.14% and increased submergence by 5.99%. Moreover, the optimized design demonstrated excellent hydraulic performance under different angles and flow conditions. To further validate the optimization effect, the flow rate formula was derived using the π-theorem in dimensional analysis and the theory of incomplete similarity. The results indicate that the optimized airfoil weir facility\u0026rsquo;s flow rate formula is more accurate with significantly reduced errors. This study provides strong theoretical and practical support for the design and optimization of similar hydraulic structures.\u003c/p\u003e","manuscriptTitle":"Hydraulic Performance Optimization of Airfoil Weir-Orifice Facilities Based on Improved Hicks-Henne Shape Function and MOPSO Algorithm","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-01-16 10:07:46","doi":"10.21203/rs.3.rs-5713946/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2025-01-14T14:33:16+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-01-14T14:17:25+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-12-26T11:57:27+00:00","index":"","fulltext":""},{"type":"submitted","content":"Water Resources Management","date":"2024-12-26T01:22:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"water-resources-management","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"warm","sideBox":"Learn more about [Water Resources Management](https://www.springer.com/journal/11269)","snPcode":"11269","submissionUrl":"https://submission.nature.com/new-submission/11269/3","title":"Water Resources Management","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"e43ecfae-a372-4d73-9e3e-fb9136475cd7","owner":[],"postedDate":"January 16th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-01-16T10:07:46+00:00","versionOfRecord":[],"versionCreatedAt":"2025-01-16 10:07:46","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5713946","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5713946","identity":"rs-5713946","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}