Table 1 Initial statistical analysis of the database used in this study.

From: Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques

Parameter

Notation

Unit

Role

Min

Q25

Q50

Q75

Max

Average

Standard deviation

Coefficient of variation (%)

Length

l

mm

Input

749.2

1194.7

1546.9

2146.8

3838

1718.2

730.38

42.51

Thickness

t

mm

Input

7.77

9.79

10.04

11.76

13.79

10.31

1.75

16.96

w/t ratio

wt

Input

11.96

14.81

15.55

15.98

16.48

15.26

1.04

6.82

b/t ratio

bt

Input

9.5

12

12.78

13.4

13.4

12.57

0.9

7.16

Yield strength

fy

MPa

Input

442.1

448.8

459.4

460.7

542.4

457.23

20.19

4.42

Residual stress peak

σr

MPa

Input

35.93

35.93

43.75

53.86

105.77

47.47

15.01

31.62

Initial imperfection

v1

mm

Input

0.38

1.42

1.78

2.3

4.3

1.93

0.74

38.27

Initial imperfection

v2

mm

Input

0.32

0.84

1.02

1.34

2.84

1.16

0.47

41.06

Initial imperfection

v3

mm

Input

0.18

1.42

1.78

2.38

8.82

2.01

1.19

59

Initial imperfection

v4

mm

Input

0.4

0.8

1.12

1.52

2.72

1.18

0.48

40.77

Critical buckling load

Nu

kN

Output

529.1

876.1

1081.35

1491.4

2177.2

1141.8

415.51

36.39