Code and data for: Bandgap formation and dual rainbow trapping in graded ladder-shunted piezoelectric metamaterial beams

Description

This deposit contains the complete analysis code and data that reproduce all results and figures in the associated article. Licensed under MIT. ## Contents ``` graded-multiresonant-piezo.zip ├── src/piezometa/ Python package (model, dispersion, bandgaps, harvesting) ├── notebooks/ │ ├── 01_dispersion dispersion curves; bandgap edges vs capacitance ratio │ ├── 02_transmissibility attenuation, mu / eps / beta effects, extended beta sweep │ ├── 03_rainbow_trapping dual rainbow trapping, localization metric, transient │ ├── 04_energy_harvesting power maps, optimized measures, fixed-load comparison │ ├── 05_fe_validation independent finite-element check │ └── 06_convergence convergence studies (modes, cells, truncation, grids) ├── tests/ regression tests (pytest) ├── data/ │ ├── modal_analysis/ precomputed .npz used by the figure notebooks │ └── comsol/ tip transmissibility exported from COMSOL (uniform, graded) ├── pyproject.toml, README.md, LICENSE, CITATION.cff ```

Steps to reproduce

## Usage ```bash pip install -e . pytest -q # 6 regression tests jupyter lab notebooks/ ``` Each figure notebook has a `RECOMPUTE` flag. With `RECOMPUTE = False` (default) it loads the precomputed `.npz` files in `data/` and regenerates the figures immediately; with `RECOMPUTE = True` it recomputes from scratch (some sweeps take several minutes). Setting the environment variable `PZ_FAST=1` runs a fast, low-resolution smoke test that under-resolves the physics.

Institutions

• King Fahd University of Petroleum and Minerals

  Eastern Province, Dhahran

Categories

Licence