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d (mm)
float64
88.6
200
b (mm)
float64
0
200
ts (mm)
float64
1.8
5.4
leff (mm)
float64
840
1.85k
fsyd (MPa)
float64
235
732
fcu (MPa)
float64
23.4
128
fcyd (MPa)
int64
0
4.83k
tc (mm)
float64
0
0.23
LC (No)
int64
0
5
La (mm2)
float64
0
1
Tc(No)
int64
0
2
Ta (mm2)
float64
0
1
Mu
float64
10.5
244
114
0
2.9
1,200
364.1
40.6
0
0
0
0
0
0
17.1
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.5
0
0
20.9
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.5
1
0.5
20.7
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.55
0
0
23.6
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.6
0
0
23.9
114
0
2.9
1,200
364.1
40.6
2,597
0.167
2
0.65
0
0
26.1
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.65
0
0
29.2
114
0
2.9
1,200
364.1
40.6
2,597
0.167
4
0.65
0
0
29
114
0
2.9
1,200
364.1
40.6
2,597
0.167
3
0.7
0
0
28.4
89
0
4.5
1,200
304
60.7
0
0
0
0
1
1
12.5
89
0
4.5
1,200
304
60.7
4,830
0.167
1
1
1
1
14.2
89
0
4.5
1,200
304
60.7
4,830
0.167
2
1
1
1
15.4
89
0
4.5
1,200
304
60.7
4,830
0.167
3
1
1
1
17.5
108
0
4.5
1,200
269
60.7
0
0
0
0
1
1
18.5
108
0
4.5
1,200
269
60.7
4,830
0.167
1
1
1
1
19.9
108
0
4.5
1,200
269
60.7
4,830
0.167
2
1
1
1
21.6
108
0
4.5
1,200
269
60.7
4,830
0.167
3
1
1
1
24.2
133
0
4.5
1,200
333
60.7
0
0
0
0
1
1
32.7
133
0
4.5
1,200
333
60.7
4,830
0.167
1
1
1
1
37.4
133
0
4.5
1,200
333
60.7
4,830
0.167
2
1
1
1
37.4
133
0
4.5
1,200
333
60.7
4,830
0.167
3
1
1
1
40.2
159
0
4.5
1,200
333
60.7
0
0
0
0
1
1
51.5
159
0
4.5
1,200
333
60.7
4,830
0.167
1
1
1
1
53.5
159
0
4.5
1,200
333
60.7
4,830
0.167
2
1
1
1
59.6
159
0
4.5
1,200
333
60.7
4,830
0.167
3
1
1
1
64.2
165
0
2.7
1,850
346
36.8
0
0
0
0
0
0
30.9
165
0
2.7
1,850
346
36.8
3,200
0.13
2
0.5
0
0
38.7
165
0
2.7
1,850
346
36.8
3,200
0.13
3
0.5
1
0.25
42.7
165
0
2.7
1,850
346
36.8
3,200
0.13
3
0.5
1
0.25
40.9
135
0
3
1,850
353.3
30.2
0
0
0
0
0
0
18.5
135
0
3
1,850
353.3
30.2
3,224
0.13
2
0.5
0
0
24.3
135
0
3
1,850
353.3
30.2
3,224
0.13
3
0.5
0
0
26.6
135
0
3
1,850
353.3
30.2
3,224
0.13
2
0.375
0
0
24.7
135
0
3
1,850
353.3
30.2
3,224
0.13
2
0.25
0
0
19.9
135
0
3
1,850
353.3
30.2
3,224
0.13
2
0.25
0
0
20.5
140
0
3
840
235
51.5
0
0
0
0
0
0
21.6
180
0
3
1,800
235
62.6
0
0
0
0
0
0
32.2
101.83
0
2.53
1,500
365
23.4
0
0
0
0
0
0
11.33
88.64
0
2.79
1,500
432
23.4
0
0
0
0
0
0
10.86
89.26
0
3.35
1,500
365
23.4
0
0
0
0
0
0
10.47
150
100
3.7
1,850
346
36.8
0
0
0
0
0
0
40.6
150
100
3.7
1,850
346
36.8
3,200
0.13
2
0.5
0
0
49.1
150
100
3.7
1,850
346
36.8
3,200
0.13
3
0.5
1
0.25
51.7
150
100
3.7
1,850
346
36.8
3,200
0.13
3
0.375
1
0.25
50.9
125
75
2.8
1,850
445.6
31.5
0
0
0
0
0
0
22.7
125
75
2.8
1,850
445.6
31.5
0
0
0
0
0
0
23.7
125
75
2.8
1,850
445.6
31.5
3,224
0.13
2
1
0
0
29.7
125
75
2.8
1,850
445.6
31.5
3,224
0.13
2
1
2
1
30.8
125
75
2.8
1,850
445.6
31.5
3,224
0.13
2
0.5
0
0
29.3
125
75
2.8
1,850
445.6
31.5
3,224
0.13
3
0.5
0
0
32
125
75
2.8
1,850
445.6
31.5
3,224
0.13
2
0.375
0
0
29.7
125
75
2.8
1,850
445.6
31.5
3,224
0.13
2
0.25
0
0
26.1
140
140
3.5
1,200
300
33
0
0
0
0
0
0
42
140
140
3.5
1,200
300
33
4,570
0.111
1
1
1
1
48
140
140
3.5
1,200
300
33
4,570
0.111
2
1
1
1
56.2
140
140
3.5
1,200
300
33
4,570
0.111
3
1
1
1
58.8
140
140
3.5
1,200
300
39.4
0
0
0
0
0
0
42.4
140
140
3.5
1,200
300
39.4
4,570
0.111
1
1
1
1
50.8
140
140
3.5
1,200
300
39.4
4,570
0.111
2
1
1
1
52.6
140
140
3.5
1,200
300
39.4
4,570
0.111
3
1
1
1
60.2
140
140
3.5
1,200
300
49
0
0
0
0
0
0
43.4
140
140
3.5
1,200
300
49
4,570
0.111
1
1
1
1
51.8
140
140
3.5
1,200
300
49
4,570
0.111
2
1
1
1
55
140
140
3.5
1,200
300
49
4,570
0.111
3
1
1
1
60.8
140
140
3.5
1,200
300
59.7
0
0
0
0
0
0
43.2
140
140
3.5
1,200
300
59.7
4,570
0.111
1
1
1
1
50.2
140
140
3.5
1,200
300
59.7
4,570
0.111
2
1
1
1
58.4
140
140
3.5
1,200
300
59.7
4,570
0.111
3
1
1
1
63.6
200
200
3
1,500
731.9
62.8
0
0
0
0
0
0
170.52
200
200
3
1,500
731.9
62.8
3,400
0.17
2
1
1
1
208.11
200
200
3
1,500
731.9
128.2
0
0
0
0
0
0
181.43
200
200
3
1,500
731.9
128.2
3,400
0.17
2
0.25
1
0.25
205.84
200
200
3
1,500
731.9
128.2
3,400
0.17
2
0.5
1
0.5
234.1
200
200
3
1,500
731.9
128.2
3,400
0.17
2
1
1
1
243.98
91.5
91.5
3.6
1,366
258
38.5
0
0
0
0
0
0
25.44
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
1
0
0
28
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
2
1
0
0
28.7
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
3
1
0
0
34.54
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
0.75
0
0
28.7
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
2
0.75
0
0
31.74
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
3
0.75
0
0
46.76
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
0.25
0
0
27.07
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
2
0.25
0
0
26.6
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
3
0.25
0
0
24.74
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
0.5
0
0
27.98934
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
3
0.5
0
0
25.89014
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
5
0.5
0
0
24.490673
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
0.75
0
0
28.455829
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
3
0.75
0
0
36.152898
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
5
0.75
0
0
35.21992
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
1
1
0
0
28.455829
91.5
91.5
3.6
1,366
258
38.5
3,800
0.234
5
1
0
0
44.5497
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
1
0.5
0
0
32.187741
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
3
0.5
0
0
29.622052
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
5
0.5
0
0
27.98934
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
1
0.75
0
0
32.65423
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
3
0.75
0
0
39.88481
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
5
0.75
0
0
40.817788
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
1
1
0
0
32.420986
91.5
91.5
5.4
1,366
258
38.5
3,800
0.234
3
1
0
0
39.88481
End of preview. Expand in Data Studio

CFST–CFRP Structural Performance Dataset

A curated dataset of Concrete-Filled Steel Tube (CFST) beams strengthened with Carbon Fiber Reinforced Polymer (CFRP), compiled to support the research article:

Physics-Informed Data Augmentation for Explainable ML-Based Multi-Objective Optimization in Flexural Design of CFRP-Strengthened CFST Beams Muluken Bogale, Addisu Mengistu, Tariku Habtamu Structures (Elsevier), 2025

This dataset provides geometric, material, CFRP strengthening configuration, and flexural performance (Mu) parameters used for ML modeling and physics-informed data augmentation.

Dataset Summary

This dataset contains structural parameters and experimental flexural capacity of CFRP-strengthened CFST beams. It is designed for:

  • Structural engineering ML modeling
  • Physics-informed learning
  • Flexural strength prediction
  • Optimization (material usage, constructability, performance)

Columns Description

Column Description
d (mm) Steel tube diameter/depth (mm)
b (mm) Steel tube width (mm)
ts (mm) Steel tube thickness (mm)
leff (mm) Effective length (mm)
fsyd (MPa) Steel tensile strength (MPa)
fcu (MPa) Concrete compressive strength (MPa)
fcyd (MPa) CFRP design strength (MPa)
tc (mm) CFRP thickness per layer (mm)
LC (No) Longitudinal CFRP layers
La (mm2) Longitudinal CFRP coverage
Tc (No) Transverse CFRP layers
Ta (mm2) Transverse CFRP coverage
Mu Experimental flexural capacity (kN·m)

Files Included

  • experimental_data_collected.csv – Experimental dataset used for ML training and physics-informed augmentation

Intended Use

This dataset is suitable for:

  • Structural performance prediction
  • Hybrid ML + mechanics modeling
  • Data augmentation experiments

It was originally used in a Physics-Informed Data Augmentation for Explainable ML-Based Multi-Objective Optimization in Flexural Design of CFRP-Strengthened CFST Beams.

Load the Dataset (Hugging Face Datasets)

from datasets import load_dataset

ds = load_dataset("addisum/cfst-cfrp-structural-performance")
df = ds["train"]

df.head()

license: apache-2.0

Authors

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