SH-Wave Propagation Modeling in Piezoelectric Fiber-Reinforced Composites

A 20.1 MB theoretical dataset from figshare, authored by Bikram Dholey and last updated in May 2026. It contains analytical and neural network model data for shear horizontal wave propagation in a layered fluid and piezoelectric composite system. The data supports a parametric study on phase velocity effects from piezoelectric coupling, strain gradients, and fiber volume fraction.

Use Cases

• Training physics-consistent neural networks based on the analytical wave propagation data mentioned in the description
• Analyzing the effect of piezoelectric coupling on phase velocity based on the parametric study
• Comparing wave transmission across mechanical, classical, and coupled spring-type interfaces as described
• Investigating the influence of fiber volume fraction and interfacial stiffness on SH-wave behavior

Strengths

• Includes a physics-consistent artificial neural network model developed from the analytical data
• Provides an exact dispersion relation derived under plane deformation conditions
• File size is 20.1 MB, containing source files in PDF, TEX, EPS, BIB, and BST formats

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Theoretical modeling using the Rule of Mixtures and Strength of Materials, with data generated from analytical derivations and parametric studies.

Time Range

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Freshness

Last updated 2026-05-06 09:17:23; freshness should be verified

Geography

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