An analytical solution for an infinite pavement strip on elasticfoundation
Bibliographic record
Abstract
In this paper, continuously reinforced concrete pavement (CRCP) and the reinforced plate of CRCP are treated as an infinite pavement strip and a laminated plate, respectively. The equilibrium equations of pavement on semi-infinite elastic foundation are established according to the classical theory of anisotropic and unsymmetrical composite plate. Analytical solutions of the equations are obtained from expanding the distribution of the vertical load into double Fourier's series. The good agreement of the results of the present method, ANSYS code, and CP05 code verified the validity of the present method. Several examples are given and the following can be concluded: (i) the variation of the elastic modulus of the foundation has no apparent influence on the displacements of CRCP; (ii) the variation of the thickness of the plate influences considerably the displacements of the pavement; (iii) the variation of the reinforcement location has little influence on the stresses of the pavement; (iv) there is little influence on the displacements of the slabs with the variation of steel ratios in CRCP; and (v) the configuration of the load has apparent influence on the displacements of the pavement. The results of this study are applicable to the design and construction of CRCP.Key words: infinite pavement strip, CRCP, composite material, anisotropy, semi-infinite elastic foundation, load stress, analytical solution.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".