International Journal of Civil Engineering

, Volume 16, Issue 3, pp 263–272 | Cite as

Experimental study and modeling of fiber volume effects on frost resistance of fiber reinforced concrete

  • Mahmoud Nili
  • Alireza Azarioon
  • Amir Danesh
  • Ali Deihimi
Research Paper
First Online:
Received:
Revised:
Accepted:

Abstract

In the present study, the effectiveness of fiber inclusion on enhancing frost durability was experimentally examined. Polypropylene fiber of 0.2, 0.3, 0.4, and 0.5% and steel fiber of 0.2, 0.4, 0.6, 0.8, and 1.0% by volume fraction were used. Additionally, reference and air-entrained specimens (with 5% air content) were prepared to compare the results. The water/cement ratio for all concrete mixtures was 0.465. The compressive and tensile strengths, and longitudinal strains of frost-exposed specimens were measured. The results showed that both fibers improved the frost resistance of concrete, and 1% steel fiber inclusion caused the samples to be safe against freeze–thaw cycles as well as air entraining. Minimum fiber volumes of 0.4 and 0.5% were required for frost resistance in the steel and polypropylene fiber specimens, respectively. The results were also numerically examined using an artificial neural network (ANN). Data analysis showed that the ANN was capable of generalizing between input and output variables with reasonably fine predictions.

Keywords

Freeze–thaw cycles Steel fibers Polypropylene fibers Air-entrained concrete Strength properties Artificial neural network 

Abbreviations

A

Air percent

C

Number of cycles

\(f_{c }\)

Predicted compressive strength

\(f_{c}^{nor}\)

Normalized compressive strength

ft

Predicted tensile strength

\(f_{t}^{nor}\)

Normalized tensile strength

P

Volume fraction of PP fibers (%)

S

Volume fraction of and steel fibers (%)

xmax

Maximum amount of input data

xmin

Minimum amount of input data

xnor

Normalized input data

ɛ

Longitudinal strain

\(\varepsilon^{nor}\)

Normalized longitudinal strain

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Copyright information

© Iran University of Science and Technology 2016

Authors and Affiliations

  • Mahmoud Nili
    • 1
  • Alireza Azarioon
    • 1
  • Amir Danesh
    • 1
  • Ali Deihimi
    • 2
  1. 1.Department of Civil EngineeringBu-Ali Sina UniversityHamedanIran
  2. 2.Electrical Engineering DepartmentBu-Ali Sina UniversityHamedanIran

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