Finite-element modelling of alkali–aggregate reaction in a concrete hydraulic structure
Bibliographic record
Abstract
Alkali–aggregate reaction (AAR) in concrete has been found to cause serious concerns for the operation and integrity of many mass and reinforced concrete structures, hydraulic structures (dams, powerhouses, etc.) and any other concrete structure that is exposed to moisture. It is known that the kinetics of AAR is strongly driven by temperature and moisture, among other parameters, and the induced strain is assumed to be oriented according to the stress state. Due to complexity of the AAR and its multi-physical nature, the use of chemomechanical modelling is very helpful for making predictions in terms of displacements and concrete damage. Moreover, macro-modelling approaches are frequently preferred for engineering work in real structures. In this context, this paper presents the implementation of a chemomechanical model of AAR for concrete using Abaqus/Explicit modelling software. With this approach, the effects of AAR are introduced by way of the Vuexpan user subroutine jointly with the concrete damage plasticity model of Abaqus. Verification of the proposed model was carried out at the material level. Moreover, a case study of a real hydraulic structure affected by AAR located in North America is presented.
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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".