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Statistical characterization of unidirectional tensile strength of FRP composites

Yihua Zeng (UGent) , Robby Caspeele (UGent) , Stijn Matthys (UGent) and Luc Taerwe (UGent)
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Abstract
Fiber reinforced polymer (FRP) has been extensively used in civil infrastructure in recent decades. The uncertainty of its unidirectional tensile strength is of great importance for analysis and design with respect to structural safety. In this work, a large database comprising 40 data sets of carbon- and glass-fiber reinforced polymer tensile tests is fitted by the Normal, Lognormal and Weibull distributions. The observed significance level (OSL) which is based on the Anderson-Darling statistic is used for determining the goodness-of-fit. Fitting results show that all three distributions can be used for the tensile strength of FRP composites from the perspective of experimental justification. However, the Weibull distribution is preferred as it reveals the weakest link hypothesis of failure and is the most commonly used distribution for composites.
Keywords
Statistical characterization, goodness-of-fit, tensile strength, FRP composites

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Please use this url to cite or link to this publication:

Chicago
Zeng, Yihua, Robby Caspeele, Stijn Matthys, and Luc Taerwe. 2017. “Statistical Characterization of Unidirectional Tensile Strength of FRP Composites.” In Proceedings of the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13). American Concrete Institute.
APA
Zeng, Y., Caspeele, R., Matthys, S., & Taerwe, L. (2017). Statistical characterization of unidirectional tensile strength of FRP composites. Proceedings of the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13). Presented at the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13), American Concrete Institute.
Vancouver
1.
Zeng Y, Caspeele R, Matthys S, Taerwe L. Statistical characterization of unidirectional tensile strength of FRP composites. Proceedings of the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13). American Concrete Institute; 2017.
MLA
Zeng, Yihua, Robby Caspeele, Stijn Matthys, et al. “Statistical Characterization of Unidirectional Tensile Strength of FRP Composites.” Proceedings of the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13). American Concrete Institute, 2017. Print.
@inproceedings{8552426,
  abstract     = {Fiber reinforced polymer (FRP) has been extensively used in civil infrastructure in recent decades. The uncertainty of its unidirectional tensile strength is of great importance for analysis and design with respect to structural safety. In this work, a large database comprising 40 data sets of carbon- and glass-fiber reinforced polymer tensile tests is fitted by the Normal, Lognormal and Weibull distributions. The observed significance level (OSL) which is based on the Anderson-Darling statistic is used for determining the goodness-of-fit. Fitting results show that all three distributions can be used for the tensile strength of FRP composites from the perspective of experimental justification. However, the Weibull distribution is preferred as it reveals the weakest link hypothesis of failure and is the most commonly used distribution for composites.},
  articleno    = {SP-32},
  author       = {Zeng, Yihua and Caspeele, Robby and Matthys, Stijn and Taerwe, Luc},
  booktitle    = {Proceedings of the 13th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-13)},
  keywords     = {Statistical characterization,goodness-of-fit,tensile strength,FRP composites},
  language     = {eng},
  location     = {Anaheim, California, USA},
  pages        = {12},
  publisher    = {American Concrete Institute},
  title        = {Statistical characterization of unidirectional tensile strength of FRP composites},
  year         = {2017},
}