Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network

Table 1

Range of parameters in data base for prediction model.

	Data range for prediction model
Type of fiber	Tensile strength of fiber in MPa	Percentage addition of fiber	Water/binder ratio	Area of specimen tested for compression in mm^2	Area of specimen tested for tension in mm^2	Area of specimen tested for flexure in mm^2	Compression strength in MPa	Split tensile strength in MPa	Flexural strength in MPa	Elastic modulus of fiber in MPa
Steel fiber [19–27]	1000–2800	0.025–2.000	0.15–0.5	1600–22500	22500–62832	25200–90000	38.2–146.3	3.23–8.95	3.5–20.2	22830–60.477.26846
Polypropylene fiber [18, 24, 28–34]	320–1200	0.0001–2.000	0.30–0.64	1600–22500	22500–141372	40000–79500	12.7–97.5	1.98–7.98	3–12.02	17818.53–49371.04
Hybrid fiber [35, 36]	450–1200	0.200–2.000	0.38–0.50	7850–17671	—	25200–40000	27.01–73.22	—	4.31–11.3	18460–42784.34
Glass fiber [15, 37–48]	1500–3750	0.100–0.300	0.2–0.71	380–141371	648–141371.67	10000–50000	14–75.82	1.07–7.1	3.39–10.1	3680–43537.34
Basalt fiber [23, 49–52]	3400–4600	0.015–12.450	0.4–0.5	7850–14137	22500–62831.85	24000–92720	29.13–85.78	2.37–4.59	3.9–10.8	26986–44415