Laboratory versus field performance of ASR-affected concrete: state of the art and paths moving forward using European and North American guidelines
Bibliographic record
Abstract
Alkali–silica reaction (ASR) is a severe concrete deterioration durability issue that has been recognized for over 80 years. With decades of research around the world, the ability to properly prevent ASR in new concrete is still a conundrum. Both North American and Europe have test methods that are similar, but each have their own variations due to some test methods work better in certain regions. Over the years, test methods have been showing improvement, but the ideal job mixture test method is still absent. The ability to link test methods to field concrete has become an important trend in both regions. Moreover, both North American and Europe in recent decades have developed ASR guidelines to help determine aggregate reactivity and proper prevention of ASR. This paper gives an overview and discusses sources of errors and challenges during laboratory testing, and recommendations for improving the reliability of ASR testing are given.
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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) | 0.000 | 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".