Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm

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Abstract The gas pipelines are a significant part of energy transportation pipelines and are recognized as a vital component of societal infrastructure. Earthquake-induced damage to gas pipelines can have severe disastrous humanitarian, social, economic, and ecologic consequences. To mitigate these consequences, one effective approach is to carefully design gas pipeline routes, considering the seismic hazard of the region. Conventional gas pipeline design methods consider only minimum distances from faults and fails to account for seismic potential of faults. This paper introduces a methodology that integrates seismic risk assessment into the gas pipeline route design process. Seismic risk is performed using the HAZUS method, and pipeline routing optimization is accomplished through the application of a metaheuristic algorithm within a GIS-based framework. The methodology is applied in to three gas pipeline routing problems within the high seismic region of southern Iran. The results are then compared with conventional approaches, considering factors such as route length, seismic risks, and seismic damage costs. The findings demonstrate the proposed method effectiveness in mitigating seismic risks related to gas pipeline. The proposed method enables a quantitative and direct incorporation of seismic risk into gas pipeline routing, marking a departure from the qualitative methods presently in use.
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Optimizing gas pipeline routing considering seismic risk through metaheuristic 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 Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm Sayyed Hadi Alavi, Mohammadreza Mashayekhi, Mohammadreza Zolfaghari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3759265/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 gas pipelines are a significant part of energy transportation pipelines and are recognized as a vital component of societal infrastructure. Earthquake-induced damage to gas pipelines can have severe disastrous humanitarian, social, economic, and ecologic consequences. To mitigate these consequences, one effective approach is to carefully design gas pipeline routes, considering the seismic hazard of the region. Conventional gas pipeline design methods consider only minimum distances from faults and fails to account for seismic potential of faults. This paper introduces a methodology that integrates seismic risk assessment into the gas pipeline route design process. Seismic risk is performed using the HAZUS method, and pipeline routing optimization is accomplished through the application of a metaheuristic algorithm within a GIS-based framework. The methodology is applied in to three gas pipeline routing problems within the high seismic region of southern Iran. The results are then compared with conventional approaches, considering factors such as route length, seismic risks, and seismic damage costs. The findings demonstrate the proposed method effectiveness in mitigating seismic risks related to gas pipeline. The proposed method enables a quantitative and direct incorporation of seismic risk into gas pipeline routing, marking a departure from the qualitative methods presently in use. Natural hazard seismic risk assessment routing methods metaheuristic algorithms infrastructure resilience natural gas pipeline Full Text 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. 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-3759265","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":267609199,"identity":"1f5288e7-6e1d-4524-b230-a18fee9ed1d0","order_by":0,"name":"Sayyed Hadi Alavi","email":"","orcid":"","institution":"K N Toosi University of Technology Faculty of Civil Engineering","correspondingAuthor":false,"prefix":"","firstName":"Sayyed","middleName":"Hadi","lastName":"Alavi","suffix":""},{"id":267609200,"identity":"5ba32ae7-61f1-4eda-9d0b-c2686cdb0469","order_by":1,"name":"Mohammadreza Mashayekhi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYLACxgYgwcPDcODDAZiQAZFaDs44wCBBmhZmHrgWPEC3gTvx488ddon9PGcPHrY5c6fO4ADzww8MBfdwajE7wLtZmvdMcuLM3r6Ewzk3nkkYHGAzlmAwKManZYM0Yxtz4obzPAaHcz4cBmphMAP6JQGvLT9/ttUn7gdpsQBrYf9GSMs2Cd62w4kbeHsMDjPcAGnhIWDLYd5t1rxtx41nnDljcLDnzGHJmYd5iiUS8Gk53rv55s+2atn+nhzjDz+OHebnO96+8cOHP7i1MDBDKMcGFBE8GuDAngg1o2AUjIJRMFIBABjfWyOTVXsBAAAAAElFTkSuQmCC","orcid":"","institution":"K N Toosi University of Technology Faculty of Civil Engineering","correspondingAuthor":true,"prefix":"","firstName":"Mohammadreza","middleName":"","lastName":"Mashayekhi","suffix":""},{"id":267609201,"identity":"5fcae66d-e615-4c99-9bbe-118054fee151","order_by":2,"name":"Mohammadreza Zolfaghari","email":"","orcid":"","institution":"K N Toosi University of Technology Faculty of Civil Engineering","correspondingAuthor":false,"prefix":"","firstName":"Mohammadreza","middleName":"","lastName":"Zolfaghari","suffix":""}],"badges":[],"createdAt":"2023-12-15 14:49:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3759265/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3759265/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":69632956,"identity":"f3043928-f162-4d3f-a686-dc9da0a7d405","added_by":"auto","created_at":"2024-11-22 12:35:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1415228,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3759265/v1_covered_60468367-84ae-4495-943b-a97f186e9f8e.pdf"}],"financialInterests":"","formattedTitle":"Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm","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":"Natural hazard, seismic risk assessment, routing methods, metaheuristic algorithms, infrastructure resilience, natural gas pipeline","lastPublishedDoi":"10.21203/rs.3.rs-3759265/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3759265/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe gas pipelines are a significant part of energy transportation pipelines and are recognized as a vital component of societal infrastructure. 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