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slump_test.names.txt
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slump_test.names.txt
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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.
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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
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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.
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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.
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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)
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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.
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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.