Title: Concrete Slump Test

Abstract: Concrete is a highly complex material. The slump flow of concrete is not 
only determined by the water content, but that is also influenced by other concrete 
ingredients.

----------------------------------------------------------------------------------------

Data Set Characteristics: Multivariate
Attribute Characteristics: Real
Associated Tasks: Regression
Number of Instances: 103
Number of Attributes: 10
Missing Values? N/A
Area: Computer
Date Donated: 2009-04-30

----------------------------------------------------------------------------------------

Source:

Donor: I-Cheng Yeh
Email: icyeh 'at' chu.edu.tw
Institution: Department of Information Management, Chung-Hua University (Republic of China)
Other contact information: Department of Information Management, Chung-Hua University, 
Hsin Chu, Taiwan 30067, R.O.C.
 
----------------------------------------------------------------------------------------

Data Set Information:

The data set includes 103 data points. There are 7 input variables, and 3 output 
variables in the data set.  The initial data set included 78 data. After several 
years, we got 25 new data points.

----------------------------------------------------------------------------------------

Attribute Information:

Input variables (7)(component kg in one M^3 concrete):
Cement
Slag
Fly ash
Water
SP
Coarse Aggr.
Fine Aggr.

Output variables (3):
SLUMP (cm)
FLOW (cm)
28-day Compressive Strength (Mpa) 

----------------------------------------------------------------------------------------

Relevant Papers:

1. Yeh, I-Cheng, "Modeling slump of concrete with fly ash and superplasticizer," 
Computers and Concrete, Vol.5, No.6, 559-572, 2008.

2. Yeh, I-Cheng, "Simulation of concrete slump using neural networks," Construction 
Materials,Vol.162, No.1, 11-18, 2009.

3. Yeh, I-Cheng, "Prediction of workability of concrete using design of experiments 
for mixtures," COMPUTERS AND CONCRETE, Vol.5, No.1, 1-20, 2008.

4. Yeh, I-Cheng, "Modeling slump flow of concrete using second-order regressions and 
artificial neural networks," Cement and Concrete Composites, Vol.29, No. 6, 474-480, 
2007.

5. Yeh, I-Cheng, "Exploring concrete slump model using artificial neural networks," J. 
of Computing in Civil Engineering, ASCE, Vol.20, No.3, 217-221, 2006.

----------------------------------------------------------------------------------------

Citation Request:

Yeh, I-Cheng, "Modeling slump flow of concrete using second-order regressions and 
artificial neural networks," Cement and Concrete Composites, Vol.29, No. 6, 474-480, 
2007.