A new improved particle swarm algorithm for optimization of anchor lattice beam support structures

A new improved particle swarm algorithm for optimization of anchor lattice beam support structures | 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 A new improved particle swarm algorithm for optimization of anchor lattice beam support structures Yang Liu, Jintao He, Jiong Liang, Wentao Wang, Zimu Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3478533/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Jul, 2024 Read the published version in Natural Hazards → Version 1 posted 5 You are reading this latest preprint version Abstract Landslide is one of the common natural disasters. Supporting structure plays an important role in landslide control. Slope stabilization with the application of anchor lattice beams has drawn considerable attention. However, existing structural design approaches tend to be conservative and, solutions for optimal anchor grid design are demanding. In this study, an object-oriented computer program was developed by using Python to optimize anchor lattice beam parameters in slope construction. The program utilized an improved particle swarm optimization (PSO) algorithm, which serves as an efficient way to figure out for the optimal parameter combination to enhance embankment construction design quality and safety. The PSO-based optimization demonstrated significant improvements in slope stability and safety, resulting in up to 30.5% average enhancement compared to non-optimized designs. Sensitivity analyses on distance of anchor, prestress, and angle of anchor revealed the influence of each parameter on leading a way to appropriate anchorage conditions for anchor lattice beam support structures. Improved particle swarm algorithm Anchor lattice beam structure Support structures Optimization Full Text Cite Share Download PDF Status: Published Journal Publication published 29 Jul, 2024 Read the published version in Natural Hazards → Version 1 posted Editorial decision: Minor revisions 06 Jun, 2024 Reviewers agreed at journal 29 May, 2024 Reviewers invited by journal 29 May, 2024 Editor assigned by journal 26 Oct, 2023 First submitted to journal 21 Oct, 2023 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-3478533","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308200118,"identity":"dfee2664-93b9-4237-800a-7368909f2490","order_by":0,"name":"Yang Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0klEQVRIiWNgGAWjYLCCBwYMchAWG7FaEgwYjEnVwsCQ2EC0FoPjZw+/SCg4nL7hdo8Bw4eywwz8sxsIaDmTl2aRYHA4d+acMwaMM84dZpC4c4CAlgM5ZgYgLf0SOQbMvG2HGQwkEghoOf8GrCWdDaTlL1FabuQYPwBqSeAHaWEkRovkjTdmwEBON5w551jBwZ5z6TwSNwho4TufY/zhwx9reYPbzRsf/CizluOfQUCLwgEGNgkwC0geAFI8+NUDgXwDA/MHmJZRMApGwSgYBVgBABfYRTzAQjtYAAAAAElFTkSuQmCC","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":true,"prefix":"","firstName":"Yang","middleName":"","lastName":"Liu","suffix":""},{"id":308200119,"identity":"5eb84a60-39d4-4c67-902e-000f4d4db392","order_by":1,"name":"Jintao He","email":"","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Jintao","middleName":"","lastName":"He","suffix":""},{"id":308200120,"identity":"b97d138a-17dc-4770-98de-a873f635dde3","order_by":2,"name":"Jiong Liang","email":"","orcid":"","institution":"Chinese Academy of Geological Sciences","correspondingAuthor":false,"prefix":"","firstName":"Jiong","middleName":"","lastName":"Liang","suffix":""},{"id":308200121,"identity":"98e97866-7cfc-4a60-831b-ebb5f96b865d","order_by":3,"name":"Wentao Wang","email":"","orcid":"","institution":"University of Michigan","correspondingAuthor":false,"prefix":"","firstName":"Wentao","middleName":"","lastName":"Wang","suffix":""},{"id":308200122,"identity":"9f47990c-19a7-42fe-82da-8586a6f93dfb","order_by":4,"name":"Zimu Wang","email":"","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Zimu","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2023-10-22 19:34:00","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3478533/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3478533/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11069-024-06783-y","type":"published","date":"2024-07-29T15:58:10+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":61794070,"identity":"f1b8d624-c12a-4464-a792-aca57fe88879","added_by":"auto","created_at":"2024-08-05 16:17:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1171167,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3478533/v1_covered_f29ecd9d-4a32-4b18-93f1-5e385ecba471.pdf"}],"financialInterests":"","formattedTitle":"A new improved particle swarm algorithm for optimization of anchor lattice beam support structures","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"natural-hazards","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nhaz","sideBox":"Learn more about [Natural Hazards](https://www.springer.com/journal/11069)","snPcode":"11069","submissionUrl":"https://submission.nature.com/new-submission/11069/3","title":"Natural Hazards","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Improved particle swarm algorithm, Anchor lattice beam structure, Support structures, Optimization","lastPublishedDoi":"10.21203/rs.3.rs-3478533/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3478533/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLandslide is one of the common natural disasters. Supporting structure plays an important role in landslide control. Slope stabilization with the application of anchor lattice beams has drawn considerable attention. However, existing structural design approaches tend to be conservative and, solutions for optimal anchor grid design are demanding. In this study, an object-oriented computer program was developed by using Python to optimize anchor lattice beam parameters in slope construction. The program utilized an improved particle swarm optimization (PSO) algorithm, which serves as an efficient way to figure out for the optimal parameter combination to enhance embankment construction design quality and safety. The PSO-based optimization demonstrated significant improvements in slope stability and safety, resulting in up to 30.5% average enhancement compared to non-optimized designs. Sensitivity analyses on distance of anchor, prestress, and angle of anchor revealed the influence of each parameter on leading a way to appropriate anchorage conditions for anchor lattice beam support structures.\u003c/p\u003e","manuscriptTitle":"A new improved particle swarm algorithm for optimization of anchor lattice beam support structures","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-11 11:56:24","doi":"10.21203/rs.3.rs-3478533/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Minor revisions","date":"2024-06-06T04:31:36+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2024-05-29T12:51:46+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-05-29T12:09:11+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2023-10-26T04:24:42+00:00","index":"","fulltext":""},{"type":"submitted","content":"Natural Hazards","date":"2023-10-21T23:12:49+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"natural-hazards","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nhaz","sideBox":"Learn more about [Natural Hazards](https://www.springer.com/journal/11069)","snPcode":"11069","submissionUrl":"https://submission.nature.com/new-submission/11069/3","title":"Natural Hazards","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"3cf9cf99-3253-4440-bdbe-1a1e6e2d4550","owner":[],"postedDate":"June 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-08-05T16:10:45+00:00","versionOfRecord":{"articleIdentity":"rs-3478533","link":"https://doi.org/10.1007/s11069-024-06783-y","journal":{"identity":"natural-hazards","isVorOnly":false,"title":"Natural Hazards"},"publishedOn":"2024-07-29 15:58:10","publishedOnDateReadable":"July 29th, 2024"},"versionCreatedAt":"2024-06-11 11:56:24","video":"","vorDoi":"10.1007/s11069-024-06783-y","vorDoiUrl":"https://doi.org/10.1007/s11069-024-06783-y","workflowStages":[]},"version":"v1","identity":"rs-3478533","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3478533","identity":"rs-3478533","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}