Deep material network for homogenization of piezoelectric composites
Piezoelectric composites are widely used in sensors, actuators, transducers, and energy-harvesting devices because their effective electromechanical performance can be tailored by combining constituent phases and microstructural architecture. However, conventional computational homogenization based on direct numerical simulation (DNS) is computationally expensive, particularly for multiscale simulations and material design tasks that require repeated homogenization analyses. To address this limitation, this work proposes a piezoelectric deep material network (PDMN) to efficiently homogenize two-phase piezoelectric composites. The proposed framework embeds the governing electromechanical h...
| Authors | Ting-Ju Wei, Yen-Ming Lu, Chuin-Shan Chen |
|---|---|
| Primary category | cs.CE |
| Published | 21 June 2026 |
| Last updated at source | 21 June 2026 |
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