Reliability-Based Asset Preservation for Neptune Terminal (Poster)
Bibliographic record
Abstract
In 2010, as part of its Asset Management (AM) program, the Vancouver Fraser Port Authority (VFPA) began pro-actively managing the life cycles of its assets. Currently, VFPA’s most significant achievement resulting from this process was the development of a 50-year asset preservation program for the Neptune sheet pile bulkhead wall “the wall”, which was originally constructed in 1967 and needs to be preserved for the foreseeable future. A summary of the activities undertaken is as follows: location referencing: a three dimensional GIS of the wall was developed in order to reference all past and future condition inspection and survey information; Condition inspections: marine structural engineers, corrosion engineers and dive crews performed a complete inspection of the exposed portion of the wall; Corrosion and loss of support rate models were developed using mechanistic empirical predictive models; Predictive models are used in structural models to derive current and future reliability projections using a simulation developed for the United States Army Corps of Engineers; A risk profile is developed based on the financial consequences of loss of reliability; Several alternative combinations of preservation treatments (strategies) and associated; costs, improvements to reliability/ reduced risk were developed; Life Cycle Cost Analysis determined the present value costs and benefits of the various strategies. The adopted strategy immediately saves $3M versus the previously planned maintenance program – a saving of over 15% of the asset value while minimizing the probability of unsatisfactory asset performance. This process has now been adapted for networks of bridges and other structural assets.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".