115 Modeling of Smart Composite Materials with a Regular Array of Embedded Actuators and Reinforcements
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Bibliographic record
Abstract
The mathematical modeling of smart composite structures is a rather convoluted task due to the anisotropic nature of the host composite material and the contribution of the integrated sensors and actuators. Therefore special analytical techniques should be developed and applied to the analysis of these structures. In this work, the method of asymptotic homogenization is used to derive micromechanical models pertinent to smart composite materials with a regular structure, and subsequently to determine effective elastic, actuation and thermal expansion coefficients. The actuation coefficients characterize the intrinsic transducer nature of smart materials that can be used to induce strains and stresses in a controlled manner. The general model is applied to a practically important case of a laminated smart material with piezoelectric actuators. Analytical formulae for the effective stiffnesses and piezoelectric coefficients are obtained explicitly. The effectiveness of the derived model is illustrated by means of two-and three-dimensional examples.
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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 | 0.001 | 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 | 0.001 |
| 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 it