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Record W2417916530 · doi:10.1061/9780784479902.068

A Risk-Based Structural Assessment Approach for Port Metro Vancouver’s Asset Management

2016· article· en· W2417916530 on OpenAlex
Houman Ghalibafian, Laura Quiroz, Gary St. Michel, Mo Mofrad

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicEngineering and Material Science Research
Canadian institutionsTetra Tech (Canada)Positive Living Society of British Columbia
Fundersnot available
KeywordsAsset managementReliability (semiconductor)Asset (computer security)Port (circuit theory)Life-cycle cost analysisReliability engineeringMeasure (data warehouse)Risk analysis (engineering)Risk managementRisk assessmentLife cycle costingComputer scienceEngineeringOperations managementBusiness

Abstract

fetched live from OpenAlex

This paper presents a risk-based structural assessment methodology used in conjunction with a life cycle cost analysis to assist Port Metro Vancouver develop a multi-year works program with funding needs for maintaining the reliability of its assets. The risk measure is based on the probability of structural failure and the monetary consequence of failure, and accounts for the deterioration of material over time. For steel, the corrosion rate was used as the measure of deterioration. For reinforced concrete, material modelling estimated the rate of degradation, the onset and the progression of rebar corrosion over time. The failure probabilities were estimated first by assuming that no repair or rehabilitation is performed. Then various scenarios of preventative risk mitigation measures were considered, and their associated costs were used in the life cycle cost analysis to develop strategies for asset management. An example of the completed projects, the merits, and the limitations of this approach are presented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.309
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it