concrete {Renvlp}

Concrete Slump Test Dataset

Description

Concrete is a highly complex material. This dataset investigates the relationship between the slump, flow and 28-day Compressive Strength of concrete and concrete ingredients.

Usage

data("concrete")

Format

A data frame with 103 entries on the following 10 variables.

Cement

Cement, input gradients, kg in one M^3 concrete.

Slag

Slag, input gradients, kg in one M^3 concrete.

Fly_ash

Fly ash, input gradients, kg in one M^3 concrete.

Water

Water, input gradients, kg in one M^3 concrete.

SP

Superplasticizer, input gradients, kg in one M^3 concrete.

Coarse_Aggr

Coarse aggregate, input gradients, kg in one M^3 concrete.

Fine_Aggr

Fine aggregate, input gradients, kg in one M^3 concrete.

Slump

Slump, output variable, in centimeter.

Flow

Flow, output variable, in centimeter.

Strength

28-day Compressive Strength, in Mpa.

Details

Concrete is the most important material in civil engineering. This dataset include 103 data points that measure three characteristics of the concrete and the amount of seven input ingradents.

Source

UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/concrete+slump+test

References

Yeh, I-Cheng (2007). Modeling slump flow of concrete using second-order regressions and artificial neural networks. Cement and Concrete Composites, 29(6), 474-480.