Achieving improved mechanical performance in aluminum matrix composites with rebar-reinforced concrete-inspired structures
Bibliographic record
Abstract
The strength of aluminum matrix composites (AMCs) often suffers from degradation at elevated temperatures, rendering them generally unsuitable for use in high-temperature environments. Inspired by ubiquitous rebar steel-reinforced concrete (RC) structures, we develop a series of RC-like AMCs by integrating the additive manufacturing and micro-casting methods. Such RC-AMC, with a high volume fraction of thermotolerant particulate reinforcements, effectively mitigate the strength degradation up to 500 °C. Through structural optimization, we demonstrate that such RC-AMCs achieve extraordinarily high compressive yield strength (up to 938 MPa) and specific strength (up to 235 kN·m/kg) at 400 °C — among the highest reported values for all the aluminum-based alloys and composites. The enhanced resistance to high-temperature softening in RC-AMCs is associated with abnormal thermal twinning in Al3Ti when the temperature increases. This design strategy, combining anomalous temperature-dependent deformation behavior and multiscale reinforcing architectures, offers a pathway toward structure-material integrated manufacturing for a wide range of engineering alloys and composites. Inspired by rebar steel-reinforced concrete (RC) structures used in buildings, aluminum matrix composites are designed which achieve nearly 1 GPa in yield strength and specific strength of (235 kN·m/kg) at 400 °C.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".