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 |
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
- Muluken Bogale – mulukenbogale67@gmail.com
- Addisu Mengistu – addisum443@gmail.com
- Tariku Habtamu - mahderzyemane@gmail.com
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