Risk Analysis of Yard Stock Layout Management for InSitu Production of Steel-Connected Precast Concrete Members
Bibliographic record
Abstract
A previous study confirmed that the in-situ production of steel-connected precast concrete (PC) members could reduce the cost by approximately 14.5-39.4% compared to factory production.Moreover, if PC members are produced in the field under equal conditions, the same or higher quality is secured compared to factory production.According to these studies, PC members should be produced on-site, because it is advantageous in terms of cost and quality.However, it is difficult to produce the necessary quantities onsite because of various constraints, including the allotted time.In particular, the storage area is significantly larger than the production area, and the availability of in-situ production is determined by the storage area.However, in the existing studies related to the in-situ production of PC members, no specific studies on storage yard layout management risk were conducted.The objective of this study was a basic risk analysis of yard stock arrangement management for in-situ PC production.In the future, depending on the frequently changing conditions at a construction site, the method developed in this study could be used to review the storage location.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".