Journal Published Online: 12 September 2018
Volume 48, Issue 2

Design Proposal for Synthetic Fiber-Reinforced Concrete Pipes Using Finite Element Analysis



Synthetic fibers have been used recently to minimize the use of steel reinforcement cages in concrete pipes. Several studies have been conducted to determine the optimum fiber dosage complying with ASTM C76, Standard Specification for Reinforced Concrete Culvert, Storm Drain, and Sewer Pipe, strength requirements. There is still need for a comprehensive design method covering a wide range of pipe diameters. The objective of this study was to develop design tables for synthetic fiber-reinforced concrete pipe similar to those proposed in the ASTM C76 standard. The finite element model of the three-edge bearing test was calibrated and validated using the experimental results from previous work by the authors. The linear and nonlinear behavior of the synthetic fiber-reinforced concrete material was characterized using the concrete damage plasticity (CDP) model. For input data representing concrete material properties, compression strength, tensile strength, and modulus of elasticity were determined for five fiber dosages: 0, 4.75, 6, 7, and 9 kg/m3. Based on the experimental results, a new modified compression model was adopted to represent the compression behavior of fiber-reinforced concrete in the finite element models. Also, the tension behavior was defined using a model proposed by past research. A parametric study was conducted on four parameters: pipe diameter, pipe wall thickness, fiber dosage, and steel cage area. The parametric study results were summarized in tables that can be used as a reference for a new synthetic fiber-reinforced concrete pipe standard.

Author Information

Al Rikabi, Fouad T.
Department of Civil Engineering, Ohio University, Athens, OH, USA
Sargand, Shad M.
Department of Civil Engineering, Ohio University, Athens, OH, USA
Hussein, Husam H.
Department of Civil Engineering, Ohio University, Athens, OH, USA
Pages: 25
Price: $25.00
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Stock #: JTE20180097
ISSN: 0090-3973
DOI: 10.1520/JTE20180097