A creative rapid assembly modular free form pavement for post-disaster temporary roads and sidewalks
Bibliographic record
Abstract
Immediate aid to survivors of a natural disaster is the keynote to crisis management.Providing temporary access is one of the most important principles of immediate relief.However, in the postdisaster conditions, it is not possible to use road construction machinery, especially in rural areas.Therefore, in this study, the feasibility of using a Rapid Assembly Building (RAB) system for the temporary pavement with the possibility of rapid construction, which follows the natural topography of the place, is investigated.The introduced system consists of a high-density polyurethane (PUR) foam core as well as two continuous layers of high-density polyethylene (HDPE) facings.For this purpose, the mechanical properties of the materials and composite pavement were determined by a series of laboratory tests.Then, the mechanical performance and bearing behaviour of an element of the presented pavement system was numerically modelled under AASHTO loading.Since in the post-disaster situation, it is not possible to establish the subgrade, an un-compacted subgrade is used for modelling.The results show that this system can be used well in post-disaster situations to provide a rapid, safe, yet robust road without any permanent deformation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".