From: Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method
Researchers | TC (W/m K) | Water–cement ratio | Fine aggregate (%) | Coarse aggregate (%) | Unit weight (kg/m3) | Water content (%) | Temperature (°C) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Water | Cement | Fine aggregate | Coarse aggregate | Fly ash | Silica fume | |||||||
Harmathy (1983) | 0.6 | 0.50 | 0 | 0 | 510 | 1,020 | 0 | 0 | 0 | 0 | 0 | 33 |
0.7 | 0.50 | 0 | 0 | 510 | 1,020 | 0 | 0 | 0 | 0 | 0 | 100 | |
0.9 | 0.33 | 0 | 0 | 432 | 1,308 | 0 | 0 | 0 | 0 | 0 | 310 | |
1.0 | 0.33 | 0 | 0 | 432 | 1,308 | 0 | 0 | 0 | 0 | 0 | 35 | |
1.1 | 0.44 | 31 | 46 | 170 | 387 | 736 | 1,115 | 0 | 0 | 0 | 22 | |
1.3 | 0.44 | 31 | 46 | 170 | 387 | 736 | 1,115 | 0 | 0 | 0 | 150 | |
1.3 | 0.49 | 30 | 46 | 190 | 385 | 701 | 1,096 | 0 | 0 | 0 | 305 | |
1.4 | 0.49 | 30 | 46 | 190 | 385 | 701 | 1,096 | 0 | 0 | 0 | 20 | |
1.6 | 0.62 | 29 | 51 | 183 | 294 | 701 | 1,236 | 0 | 0 | 0 | 165 | |
1.7 | 0.62 | 29 | 51 | 183 | 294 | 701 | 1,236 | 0 | 0 | 0 | 30 | |
Morabito (1989) | 1.1 | 0.50 | 46 | 16 | 175 | 350 | 700 | 250 | 0 | 0 | 100 | 20 |
1.2 | 0.50 | 57 | 0 | 292 | 583 | 1,167 | 0 | 0 | 0 | 0 | 20 | |
1.3 | 0.50 | 36 | 32 | 175 | 350 | 700 | 250 | 0 | 0 | 100 | 20 | |
1.7 | 0.50 | 23 | 60 | 175 | 350 | 700 | 1,850 | 0 | 0 | 100 | 20 | |
1.8 | 0.50 | 30 | 48 | 175 | 350 | 700 | 250 | 0 | 0 | 0 | 20 | |
Yamazaki et al. (1995) | 1.1 | 0.48 | 30 | 51 | 145 | 242 | 707 | 1,204 | 60 | 0 | 0 | 385 |
1.1 | 0.48 | 30 | 51 | 145 | 242 | 707 | 1,204 | 60 | 0 | 0 | 435 | |
1.2 | 0.48 | 30 | 51 | 145 | 242 | 707 | 1,204 | 60 | 0 | 0 | 295 | |
1.2 | 0.48 | 30 | 51 | 145 | 242 | 707 | 1,204 | 60 | 0 | 0 | 345 | |
1.3 | 0.48 | 30 | 51 | 145 | 242 | 707 | 1,204 | 60 | 0 | 0 | 245 | |
Lie and Kodur (1996) | 1.0 | 0.37 | 26 | 48 | 161 | 439 | 621 | 1,128 | 0 | 0 | 0 | 385 |
1.4 | 0.37 | 26 | 48 | 161 | 439 | 621 | 1,128 | 0 | 0 | 0 | 32 | |
1.4 | 0.37 | 26 | 48 | 161 | 439 | 621 | 1,128 | 0 | 0 | 0 | 190 | |
1.5 | 0.37 | 26 | 48 | 161 | 439 | 621 | 1,128 | 0 | 0 | 0 | 75 | |
1.5 | 0.37 | 26 | 48 | 161 | 439 | 621 | 1,128 | 0 | 0 | 0 | 110 | |
Khan et al. (1998) | 1.1 | 0.50 | 33 | 44 | 178 | 355 | 790 | 1,040 | 0 | 0 | 0 | 37 |
1.2 | 0.50 | 33 | 44 | 178 | 355 | 790 | 1,040 | 0 | 0 | 0 | 25 | |
1.7 | 0.25 | 29 | 44 | 133 | 494 | 720 | 1,105 | 0 | 46 | 0 | 82 | |
1.8 | 0.25 | 29 | 44 | 133 | 494 | 720 | 1,105 | 0 | 46 | 0 | 73 | |
Van Geem et al. (1997) | 1.6 | 0.22 | 24 | 43 | 144 | 564 | 593 | 1,068 | 0 | 89 | 0 | 30 |
1.7 | 0.29 | 27 | 44 | 160 | 475 | 659 | 1,068 | 59 | 24 | 0 | 30 | |
1.9 | 0.29 | 28 | 44 | 155 | 487 | 676 | 1,068 | 0 | 47 | 0 | 30 | |
2.2 | 0.23 | 24 | 43 | 151 | 475 | 593 | 1,068 | 104 | 74 | 0 | 149 | |
2.3 | 0.28 | 26 | 44 | 158 | 564 | 647 | 1,068 | 0 | 0 | 0 | 30 | |
Khan et al. (1998) | 1.9 | 0.60 | 56 | 0 | 191 | 318 | 635 | 0 | 0 | 0 | 0 | 25 |
2.0 | 0.60 | 26 | 53 | 191 | 318 | 635 | 1,270 | 0 | 0 | 0 | 25 | |
2.2 | 0.60 | 27 | 52 | 191 | 318 | 635 | 1,256 | 0 | 0 | 0 | 25 | |
2.3 | 0.60 | 26 | 53 | 191 | 318 | 635 | 1,274 | 0 | 0 | 0 | 25 | |
2.3 | 0.60 | 27 | 52 | 191 | 318 | 637 | 1,260 | 0 | 0 | 0 | 25 | |
Kodur and Sultan (2003) | 1.0 | 0.26 | 28 | 44 | 140 | 500 | 700 | 1,100 | 0 | 50 | 0 | 600 |
1.2 | 0.26 | 28 | 44 | 140 | 500 | 700 | 1,100 | 0 | 50 | 0 | 500 | |
1.8 | 0.26 | 28 | 44 | 140 | 500 | 700 | 1,100 | 0 | 50 | 0 | 200 | |
1.9 | 0.26 | 28 | 44 | 140 | 500 | 700 | 1,100 | 0 | 50 | 0 | 100 | |
2.0 | 0.26 | 28 | 44 | 140 | 500 | 700 | 1,100 | 0 | 50 | 0 | 23 | |
Kim et al. (2003) | 1.1 | 0.35 | 0 | 0 | 524 | 1,498 | 0 | 0 | 0 | 0 | 100 | 60 |
1.2 | 0.25 | 0 | 0 | 440 | 1,762 | 0 | 0 | 0 | 0 | 100 | 20 | |
1.2 | 0.30 | 0 | 0 | 486 | 1,619 | 0 | 0 | 0 | 0 | 100 | 40 | |
1.4 | 0.40 | 10 | 16 | 420 | 1,050 | 206 | 321 | 0 | 0 | 100 | 60 | |
1.6 | 0.40 | 17 | 26 | 340 | 850 | 345 | 546 | 0 | 0 | 100 | 60 | |
1.9 | 0.40 | 25 | 40 | 220 | 550 | 559 | 880 | 0 | 0 | 100 | 60 | |
2.0 | 0.40 | 25 | 40 | 220 | 550 | 559 | 880 | 0 | 0 | 100 | 40 | |
2.4 | 0.40 | 39 | 32 | 181 | 452 | 887 | 729 | 0 | 0 | 100 | 20 | |
2.4 | 0.40 | 28 | 44 | 181 | 452 | 630 | 989 | 0 | 0 | 100 | 40 | |
2.5 | 0.40 | 31 | 48 | 140 | 350 | 702 | 1,103 | 0 | 0 | 100 | 40 |