Evaluation of Interlocking Concrete Pavement Performance
Bibliographic record
Abstract
Road pavement surfacings are now an intrinsic part of the development and personalization of municipal public areas. Through its use of form, color, and texture, interlocking concrete pavements provide an answer to concerns in urban design. Nevertheless, the use of interlocking concrete pavements by cities in the province of Quebec remains low. Little is known about the structural behavior of this type of pavement since only few studies have focused on this topic. This research project aims at the determination of criteria for the design of interlocking concrete pavement in northern environments. For this purpose, parameters linked to performance of this type of pavement have been identified and the experience with interlocking concrete pavement as road surfacing in Quebec has been reviewed. This was followed by a laboratory evaluation of the concrete blocks and sandy bed behavior. Many parameters seem to affect the performance of interlocking concrete pavement. The assessment of the importance of these parameters required an evaluation of the use of interlocking concrete pavement as surfacing material in Quebec. An evaluation of nine sites in Quebec City, six in Montreal, and three in Longueuil, yielded to the identification of the main parameters linked to the degradation of interlocking concrete pavements in urban context: pavement, joints and sandy bed. This assessment has enabled pinpointing of the problems associated with this type of pavement and to identify the causes of failures as well as the reasons behind the success of existing sites, in particular, the key role of the sandy bed. An experimental program was carried out in laboratory, which consisted in verifying and quantifying the relative importance of these significant parameters using cyclic testing on systems consisting of two types of concrete blocks laid on sandy beds of different thicknesses and mineralogical sources.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".