Table 2 Descriptive statistics of the data.

From: Passive determination of anisotropic compressive strength of 3D printed concrete using multiple neural networks enhanced with explainable machine learning (XML)

 

Units

Maximum

Minimum

Mean

Standard Deviation

25%

50%

75%

W/C

-

1.499

0.22

0.472

0.260

0.37

0.376

0.554

Fly ash

\(\:kg/{m}^{3}\)

1141.10

0

237.44

362.26

0

0

604

Slag

\(\:kg/{m}^{3}\)

450

0

171.3

161.96

0

322

322

Sand

\(\:kg/{m}^{3}\)

1902

246

827.99

403.7

345

1074

1074

Superplasticiser

\(\:kg/{m}^{3}\)

20

0

7.47

5.026

3.50

10.7

10.7

Age

Days

28

3

21.10

10.356

7

28

28

Aspect Ratio

-

1.20

0

0.27

0.220

0.15

0.205

0.307

Fiber Type

-

5

1

2.20

0.956

2

2

3

Loading Direction

-

3

1

2.01

0.823

1

2

3

Fiber Volume Fraction

%

0.02

0

0.0089

0.00669

0.0025

0.0075

0.0150

Compressive Strength

MPa

153.40

12

78

34.48

44.30

85

100