Finite element simulation study of pipe structure damage based on rough surface parameters

Finite element simulation study of pipe structure damage based on rough surface parameters | 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 Finite element simulation study of pipe structure damage based on rough surface parameters Ying Li, ZeCan Chen, Jia Wei This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9003270/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 This paper investigates the correlation between single parameters of pipeline damage (i.e., central angle, axial width, and surface roughness) and damage index values, treating surface roughness as a key characteristic parameter for modeling damaged surface morphology. First, a rough surface damage model was established using Gaussian distribution parameters based on ABAQUS finite element software. Subsequently, pipe finite element models with varying damage center angles, axial widths, and surface roughness parameters were constructed. Damage index values were calculated by extracting piezoelectric signals and performing wavelet packet decomposition, followed by analysis of the variation patterns in the damage index matrix. The study revealed that, with other parameters held constant, the damage index monotonically increases with the damage central angle. However, it exhibits a non-monotonic trend—first decreasing and then increasing—with increases in damage axial width and surface roughness. Based on the fitting curve between the damage index and the severity of roughness-corrosion damage, the damage level can be rapidly identified and its development trend predicted. Furthermore, incorporating the surface roughness parameter enhances the realism of the damage model, providing a reliable finite element analysis method for pipeline damage diagnosis based on surface morphology. Physical sciences/Engineering Physical sciences/Materials science Physical sciences/Mathematics and computing Surface roughness parameter Damage index matrix Wavelet decomposition method Guided wave torsion 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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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-9003270","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":602798952,"identity":"9cee7147-745b-4a1b-a8e4-cbe4c3e7791e","order_by":0,"name":"Ying Li","email":"","orcid":"","institution":"University of Emergency Management","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Li","suffix":""},{"id":602798953,"identity":"627d3cfd-e2c5-496f-88f3-6ecc54ac2e1b","order_by":1,"name":"ZeCan Chen","email":"","orcid":"","institution":"University of Emergency Management","correspondingAuthor":false,"prefix":"","firstName":"ZeCan","middleName":"","lastName":"Chen","suffix":""},{"id":602798954,"identity":"99278d0a-0d2c-4597-a00b-312a1a4422c4","order_by":2,"name":"Jia Wei","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIie3PMWuDQBTA8TsEXZ5kfWKJX+HkIFYQ8lWUgJMNlC4OpZwIyeIHSKH0Y2Q+Ochk6ZrVupbSbukS2jnQ07HD/cfH+8F7hJhM/7YSYbmtquFU4jyYRrrkioFSnHTXPBRTBN3kCcM89+mmzIgc2Y6cl3YobQURKZh/+4wpFVb/dtSQuFmvwg4UxKJj/HGPa4fYnBcawmSx8AQqIG3DUnePd1SA7WvJ63v0LdgvUcCk+4SZkGPkWCyoSHNgBzurXTGBxLuPlSdkAl5jKbo7IA/rkV+i2U37VZ1xOQv67enz/mEeOHU/aA8jcDmyNOt/EJPJZDJd9APKNE0QzruAWQAAAABJRU5ErkJggg==","orcid":"","institution":"University of Emergency Management","correspondingAuthor":true,"prefix":"","firstName":"Jia","middleName":"","lastName":"Wei","suffix":""}],"badges":[],"createdAt":"2026-03-01 18:08:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9003270/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9003270/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":109176653,"identity":"f2d5121b-4ec2-46a1-90b0-a0129ea5034c","added_by":"auto","created_at":"2026-05-13 09:32:52","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":701100,"visible":true,"origin":"","legend":"","description":"","filename":"CleanRevisedManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9003270/v1_covered_f037f891-0ab1-4aad-834f-ab43c69cbe46.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Finite element simulation study of pipe structure damage based on rough surface parameters","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Surface roughness parameter; Damage index matrix; Wavelet decomposition method, Guided wave torsion","lastPublishedDoi":"10.21203/rs.3.rs-9003270/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9003270/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper investigates the correlation between single parameters of pipeline damage (i.e., central angle, axial width, and surface roughness) and damage index values, treating surface roughness as a key characteristic parameter for modeling damaged surface morphology. First, a rough surface damage model was established using Gaussian distribution parameters based on ABAQUS finite element software. Subsequently, pipe finite element models with varying damage center angles, axial widths, and surface roughness parameters were constructed. Damage index values were calculated by extracting piezoelectric signals and performing wavelet packet decomposition, followed by analysis of the variation patterns in the damage index matrix. The study revealed that, with other parameters held constant, the damage index monotonically increases with the damage central angle. However, it exhibits a non-monotonic trend\u0026mdash;first decreasing and then increasing\u0026mdash;with increases in damage axial width and surface roughness. Based on the fitting curve between the damage index and the severity of roughness-corrosion damage, the damage level can be rapidly identified and its development trend predicted. Furthermore, incorporating the surface roughness parameter enhances the realism of the damage model, providing a reliable finite element analysis method for pipeline damage diagnosis based on surface morphology.\u003c/p\u003e","manuscriptTitle":"Finite element simulation study of pipe structure damage based on rough surface parameters","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-12 15:52:04","doi":"10.21203/rs.3.rs-9003270/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"abecb4b8-0f3d-4dc6-81b1-037e235bc08e","owner":[],"postedDate":"March 12th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Withdrawn","date":"2026-05-13T09:13:11+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":64139249,"name":"Physical sciences/Engineering"},{"id":64139250,"name":"Physical sciences/Materials science"},{"id":64139251,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2026-05-13T09:31:30+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-12 15:52:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9003270","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9003270","identity":"rs-9003270","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}