Hardwood Tensile Strength Data for 40 Species with Probabilistic Model Comparison

Brazilian research presents 480 experimental determinations of tensile strength parallel to the grain for 40 different hardwood species at standard moisture content. The data was used to fit probability distribution models and develop a multivariable linear regression estimator for characteristic strength. The work by Anderson Renato Vobornik Wolenski compares this regression model to the Brazilian standard NBR 7190.

Use Cases

• Compare probabilistic models (Normal, LogNormal, Weibull, Exponential) for material strength based on experimental data for 40 species.
• Develop regression models to estimate characteristic tensile strength based on mean, coefficient of variation, and min/max values.
• Evaluate the reliability of standard design code equations (e.g., NBR 7190) against data-driven probabilistic approaches.
• Analyze the mechanical properties of hardwood species for structural applications in civil engineering.

Strengths

• Includes 480 experimental data points across 40 distinct hardwood species.
• Data is standardized to a moisture content of approximately 12%, a key controlled variable.
• Analysis employs multiple probability distribution models and a regression model validated against a national standard.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying dataset is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Anderson Renato Vobornik Wolenski via paperswithcode

Collection Method

Experimental determinations from 40 hardwood species, analyzed with probability models and regression.

Geography

Brazil (implied by reference to Brazilian standard NBR 7190)