Deltaport Berth’s 3 Design and Construction Challenges
Bibliographic record
Abstract
Port Metro Vancouver, located in the southwestern corner of British Columbia, is Canada’s largest port. Deltaport Container Terminal, at Roberts Bank just south of Vancouver, opened for business in 1997 and was an immediate success. In response to increased demand and growth forecasts Port Metro Vancouver, in partnership with the terminal operator (Global Container Terminals), decided to extend the two-berth caisson wharf and expand the container terminal to increase annual throughput by 50% from 1.2 to 1.8 million twenty-foot equivalent units (TEUs). This paper will focus on some of the unique aspects of the design for the Deltaport Berth 3 expansion, and resolution of key challenges encountered during construction. Concrete caissons for the wharf extension were prefabricated off-site, towed to site, and then installed at super-elevated positions to compensate for anticipated differential settlements and rotations due to the added mass of the terminal reclamation fills. This elevation pre-set provided a precisely aligned wharf extension, smooth alignment of crane rails and a level apron pavement. A risk based approach was used to develop appropriate seismic design criteria for the main wharf and for the ship-to-shore crane rails. Displacement-based seismic criteria were used for the design of this concrete gravity caisson wharf. Marine vibro-densification of the crushed rock foundation fills, combined with vibro-replacement and dynamic compaction of apron backfill materials, were methods used to improve the bearing capacity, seismic resistance, and settlement performance. A fill management plan was implemented for placement and preloading of reclamation fills in the terminal area, optimized to use all preload material as backfill. Wave protection for the Deltaport tugboat facility was provided by a tied sheet-piled bulkhead, as a temporary measure during berth construction. The design philosophy for the north end closure wall for the wharf extension, was based on the consequences of overall wall integrity and rupture of individual elements. Significant difficulties were overcome during construction of these sheet-piled walls.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".