Highway 99 Shoulder Bus Lane at BNR Overhead: Complex Fast-Tracked Bridge Widening and Seismic Retrofit to Provide Streamlined and Sustainable Commuter Option
Bibliographic record
Abstract
The BNR Overhead structure is a 350-foot-long, five-span steel bridge that carries Highway 99 over the Burlington Northern Railway which connects Vancouver to the US Interstate network. To alleviate traffic congestion and encourage sustainable commuting, the Governments of BC and Canada provided stimulus funding for the addition of dedicated bus lane on this major artery. MMM was retained by the BC Ministry of Transportation and Infrastructure (BC MoT) to lead the widening design of this bridge. Due to seismic deficiency of the existing bridge, an options analysis was added to the scope to compare short- and long-term solutions for accommodating the dedicated bus lane and the seismic upgrading of the bridge. Challenges in this project included poor soils in the footprint of the bridge and its approaches, the lightweight construction of the original structure, the compressed design and construction schedule to meet stimulus funding deadlines, and the requirements for uninterrupted movement of the highway and the railway traffic. The final design entailed widening of the existing bridge on both sides and utilizing helical mini-piles to allow piling to occur beneath the bridge deck. To accommodate the anticipated excessive earthquake displacements and to prevent potential collapse due to soil liquefaction, a catcher system was used. This structurally independent system, in addition to the use of seismic ties at deck joints, provides the required supports to the superstructure in the event of design earthquakes. The project was completed on time and received the 2011 Deputy Minister's Award of Merit from BC MoT. (A) For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.007 |
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".