Concrete Compressive Strength Data Set
Download: Data Folder, Data Set Description
Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients.


Data Set Characteristics: 
Multivariate 
Number of Instances: 
1030 
Area: 
Physical 
Attribute Characteristics: 
Real 
Number of Attributes: 
9 
Date Donated 
20070803 
Associated Tasks: 
Regression 
Missing Values? 
N/A 
Number of Web Hits: 
86216 
Source:
Original Owner and Donor
Prof. ICheng Yeh
Department of Information Management
ChungHua University,
Hsin Chu, Taiwan 30067, R.O.C.
email:icyeh '@' chu.edu.tw
TEL:88635186511
Date Donated: August 3, 2007
Data Set Information:
Number of instances 1030
Number of Attributes 9
Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable
Missing Attribute Values None
Attribute Information:
Given are the variable name, variable type, the measurement unit and a brief description. The concrete compressive strength is the regression problem. The order of this listing corresponds to the order of numerals along the rows of the database.
Name  Data Type  Measurement  Description
Cement (component 1)  quantitative  kg in a m3 mixture  Input Variable
Blast Furnace Slag (component 2)  quantitative  kg in a m3 mixture  Input Variable
Fly Ash (component 3)  quantitative  kg in a m3 mixture  Input Variable
Water (component 4)  quantitative  kg in a m3 mixture  Input Variable
Superplasticizer (component 5)  quantitative  kg in a m3 mixture  Input Variable
Coarse Aggregate (component 6)  quantitative  kg in a m3 mixture  Input Variable
Fine Aggregate (component 7)  quantitative  kg in a m3 mixture  Input Variable
Age  quantitative  Day (1~365)  Input Variable
Concrete compressive strength  quantitative  MPa  Output Variable
Relevant Papers:
Main
1. ICheng Yeh, "Modeling of strength of high performance concrete using artificial neural networks," Cement and Concrete Research, Vol. 28, No. 12, pp. 17971808 (1998).
Others
2. ICheng Yeh, "Modeling Concrete Strength with AugmentNeuron Networks," J. of Materials in Civil Engineering, ASCE, Vol. 10, No. 4, pp. 263268 (1998).
3. ICheng Yeh, "Design of High Performance Concrete Mixture Using Neural Networks," J. of Computing in Civil Engineering, ASCE, Vol. 13, No. 1, pp. 3642 (1999).
4. ICheng Yeh, "Prediction of Strength of Fly Ash and Slag Concrete By The Use of Artificial Neural Networks," Journal of the Chinese Institute of Civil and Hydraulic Engineering, Vol. 15, No. 4, pp. 659663 (2003).
5. ICheng Yeh, "A mix Proportioning Methodology for Fly Ash and Slag Concrete Using Artificial Neural Networks," Chung Hua Journal of Science and Engineering, Vol. 1, No. 1, pp. 7784 (2003).
6. Yeh, ICheng, "Analysis of strength of concrete using design of experiments and neural networks," Journal of Materials in Civil Engineering, ASCE, Vol.18, No.4, pp.597604 (2006).
Citation Request:
NOTE: Reuse of this database is unlimited with retention of copyright notice for Prof. ICheng Yeh and the following published paper:
ICheng Yeh, "Modeling of strength of high performance concrete using artificial neural networks," Cement and Concrete Research, Vol. 28, No. 12, pp. 17971808 (1998).
