A research dataset by Edgar Vladimiro Mantilla Carrasco presents experimental results for determining the modulus of elasticity of wood as a function of fiber inclination using non-destructive acoustic tomography. Six wood species were tested using an acoustic tomograph with eight transducers, and the results were compared against six mechanical rupture criteria. The study concludes that the acoustic tomograph can determine the modulus of elasticity inclined to the fibers with a single test.
Use Cases
- Predict wood elasticity modulus based on fiber inclination using acoustic tomography data.
- Compare and validate mechanical failure criteria for anisotropic materials.
- Train models to estimate material properties from non-destructive test signals.
Strengths
- The dataset is derived from tests on six distinct wood species, providing comparative material data.
- The methodology uses an acoustic tomograph with eight transducers, suggesting a structured experimental setup.
Limitations
- Row count and column-level documentation are absent; field semantics must be inferred after download.
- The dataset's scale and specific data format are unknown, which may limit suitability assessment.
Provenance
- Source
- paperswithcode
- Collection Method
- Experimental data collected using an acoustic tomograph with eight transducers on wood specimens.