{"id":"https://openalex.org/W7203530335","doi":"https://doi.org/10.2139/ssrn.7287451","title":"Physics-Informed Neural Network Framework for Mechanics-Based Remaining Useful Life Prediction of Polyethylene Pipelines","display_name":"Physics-Informed Neural Network Framework for Mechanics-Based Remaining Useful Life Prediction of Polyethylene Pipelines","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7203530335","doi":"https://doi.org/10.2139/ssrn.7287451"},"language":"en","primary_location":{"id":"doi:10.2139/ssrn.7287451","doi":"https://doi.org/10.2139/ssrn.7287451","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7287451","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2139/ssrn.7287451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134451852","display_name":"Eduardo Rodriguez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eduardo Rodriguez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147238317","display_name":"Shrey Upadhyay","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shrey Upadhyay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003676950","display_name":"Ernest Lever","orcid":"https://orcid.org/0000-0002-9273-9464","observed_orcids":["https://orcid.org/0000-0002-9273-9464"]},"institutions":[{"id":"https://openalex.org/I59058292","display_name":"Gas Technology Institute","ror":"https://ror.org/02vk0sm33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I59058292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ernest Lever","raw_affiliation_strings":["GTI Energy, Des Plaines, Illinois"],"raw_orcid":"https://orcid.org/0000-0002-9273-9464","affiliations":[{"raw_affiliation_string":"GTI Energy, Des Plaines, Illinois","institution_ids":["https://openalex.org/I59058292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045148687","display_name":"Enrique L\u00f3pez Droguett","orcid":"https://orcid.org/0000-0002-0790-8439","observed_orcids":["https://orcid.org/0000-0002-0790-8439","https://orcid.org/0000-0003-3468-2145","https://orcid.org/0000-0001-6609-3797"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enrique  Lopez Droguett","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0790-8439","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5134451852"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.31130000948905945,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.31130000948905945,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.29760000109672546,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10396","display_name":"Fatigue and fracture mechanics","score":0.19779999554157257,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remaining-useful-life-prediction","display_name":"remaining useful life prediction","score":0.9350000023841858},{"id":"https://openalex.org/keywords/stress-intensification-factors","display_name":"stress intensification factors","score":0.859000027179718},{"id":"https://openalex.org/keywords/physics-informed-neural-networks","display_name":"physics-informed neural networks","score":0.8579999804496765},{"id":"https://openalex.org/keywords/subcritical-crack-growth","display_name":"subcritical crack growth","score":0.7360000014305115},{"id":"https://openalex.org/keywords/semi-elliptical-surface-cracks","display_name":"semi-elliptical surface cracks","score":0.906000018119812},{"id":"https://openalex.org/keywords/power-law-creep","display_name":"power-law creep","score":0.8619999885559082},{"id":"https://openalex.org/keywords/fracture-risk-assessment","display_name":"fracture risk assessment","score":0.6079999804496765},{"id":"https://openalex.org/keywords/pipeline-integrity-management","display_name":"pipeline integrity management","score":0.8700000047683716},{"id":"https://openalex.org/keywords/gas-distribution-pipelines","display_name":"gas distribution pipelines","score":0.5820000171661377}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6690999865531921},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6389999985694885},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38769999146461487},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3716999888420105},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35409998893737793},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3116999864578247},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31150001287460327},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C121646663","wikidata":"https://www.wikidata.org/wiki/Q1624058","display_name":"Fillet (mechanics)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C59085676","wikidata":"https://www.wikidata.org/wiki/Q957852","display_name":"Fracture mechanics","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2779751980","wikidata":"https://www.wikidata.org/wiki/Q143429","display_name":"Polyethylene","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C202973686","wikidata":"https://www.wikidata.org/wiki/Q1937401","display_name":"Constitutive equation","level":3,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2139/ssrn.7287451","doi":"https://doi.org/10.2139/ssrn.7287451","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7287451","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.2139/ssrn.7287451","doi":"https://doi.org/10.2139/ssrn.7287451","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7287451","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W75284883","https://openalex.org/W2004810810","https://openalex.org/W2007918614","https://openalex.org/W2029303070","https://openalex.org/W2032768430","https://openalex.org/W2046320781","https://openalex.org/W2076371145","https://openalex.org/W2515059182","https://openalex.org/W2516566105","https://openalex.org/W2772084711","https://openalex.org/W2899283552","https://openalex.org/W2997250210","https://openalex.org/W3008011500","https://openalex.org/W3205073660","https://openalex.org/W3213136411","https://openalex.org/W4242186041","https://openalex.org/W4280603201","https://openalex.org/W4386892956","https://openalex.org/W4411225220","https://openalex.org/W4411351953","https://openalex.org/W4413839786","https://openalex.org/W4417114361","https://openalex.org/W7116930290","https://openalex.org/W7120258648","https://openalex.org/W7124261990","https://openalex.org/W7125474735","https://openalex.org/W7125494482"],"related_works":["https://openalex.org/W3211723343","https://openalex.org/W4294653590","https://openalex.org/W4412434082","https://openalex.org/W7220688281","https://openalex.org/W4409791396","https://openalex.org/W4403936494","https://openalex.org/W7163914082","https://openalex.org/W4385982877","https://openalex.org/W4383893808","https://openalex.org/W7125915775"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-16T00:00:00"}