Nonlinear Coupled Field Finite Element Procedure for Modeling of Shape Memory Alloy Components in Multi-physics Applications
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Bibliographic record
Abstract
In this paper, we introduce a one-dimensional finite element procedure for modeling shape memory alloy components used in multi-physics based applications including MEMS and biomedical applications. The procedure addressed in this paper is based on a sequential solution of two main finite-element procedures which are then combined after each iteration. The procedure was applied to model an SMA wire and the results were compared with corresponding numerical and experimental results from the literature for different loading cases and boundary conditions. The results showed very good agreement with both experimental and numerical results. The procedure was found to be capable of capturing system characteristics such as structural and thermal non-linearity, variable SMA material properties and the ability to model coupled electrical, thermal and structural loading and boundary conditions and was general enough to be extensible to various geometrical shapes and different SMA constitutive models.
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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 it