Rapid Pier Delivery Using Precast Concrete Components
Bibliographic record
Abstract
In July 2008, a new pier for offloading coal was commissioned at the Morgantown Power Generation Plant in Maryland, on the US eastern seaboard. The new pier, measuring 495 ft long x 54.5 ft wide, is designed to support a coal unloading machine capable of handling barges up to 20,000 DWT. Contractual arrangements with the coal supplier dictated the need to have the pier ready for operation by July 2008, only 10 months after initiation of the pier design. Permitting revisions, supplemental site investigations, full design of the pier and conveyor foundations, and the construction of the entire pier and conveyor system had to be accomplished within this very tight schedule. To accelerate the project delivery, a modified design/build approach was utilized wherein the design consultants worked closely with the constructor to develop a structural scheme that could be procured, fabricated, and erected within a highly compressed timeframe. The design solution was a unique modular precast concrete structure that minimized the amount of cast-in-place concrete work. This approach allowed the fabrication of precast units offsite, which could then be assembled rapidly onsite once the piles were driven. Critical path elements such as piles and crane rails were pre-ordered, while design of the remaining components was still underway. One unusual challenge overcome for this project was developing a connection detail to allow precast concrete pilecaps to be used with hollow prestressed concrete batter piles. This innovative approach to the design and detailing facilitated construction in winter weather and significantly shortened the construction schedule. This $46M project was successfully completed within schedule and budget, and the first barge was unloaded in July 2008 as per contractual obligations. The project subsequently won a local award from the American Council of Engineering Companies.
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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) | 0.001 | 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".