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Multi-objective maintenance decision-making of corroded parallel pipeline systems

2023· article· en· 18 citations· W4386239147 on OpenAlex· 10.1016/j.apenergy.2023.121822

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

The three-model screen

all 1,000 screened works →

All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

No abstract; maintenance optimization for corroded pipelines; reliability engineering.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The study develops maintenance decisions for corroded pipeline systems.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: medium

Engineering maintenance decision-making for corroded pipelines; domain infrastructure (no abstract).

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
Applied Energy
Topic
Structural Integrity and Reliability Analysis
Field
Engineering
Canadian institutions
University of Alberta
Funders
Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
Keywords
DowntimeReliability engineeringPreventive maintenancePipeline (software)Computer sciencePipeline transportEngineeringReliability (semiconductor)Operations researchRisk analysis (engineering)Mathematical optimization
Has abstract in OpenAlex
no