Concrete Compressive Strength

Donated on 8/2/2007

Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients.

Dataset Characteristics

Multivariate

Subject Area

Physics and Chemistry

Associated Tasks

Regression

Feature Type

Real

# Instances

1030

# Features

8

Dataset Information

Additional Information

Number of instances 1030 Number of Attributes 9 Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable Missing Attribute Values None

Has Missing Values?

No

Introductory Paper

Modeling of strength of high-performance concrete using artificial neural networks

By I. Yeh. 1998

Published in Cement and Concrete Research, Vol. 28, No. 12

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
CementFeatureContinuouskg/m^3no
Blast Furnace SlagFeatureIntegerkg/m^3no
Fly AshFeatureContinuouskg/m^3no
WaterFeatureContinuouskg/m^3no
SuperplasticizerFeatureContinuouskg/m^3no
Coarse AggregateFeatureContinuouskg/m^3no
Fine AggregateFeatureContinuouskg/m^3no
AgeFeatureIntegerdayno
Concrete compressive strengthTargetContinuousMPano

0 to 9 of 9

Additional Variable 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

Dataset Files

FileSize
Concrete_Data.xls122 KB
Concrete_Readme.txt3.7 KB

Papers Citing this Dataset

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SelectiveNet: A Deep Neural Network with an Integrated Reject Option

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By Torgyn Shaikhina, Natalia Khovanova. 2017

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Learning Linear Feature Space Transformations in Symbolic Regression

By Jan vZegklitz, Petr Povs'ik. 2017

Published in ArXiv.

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15 citations
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Creators

I-Cheng Yeh

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