Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams

B.H. Oh, D. K. Park, J. C. Kim, Y. C.Choi (2004). "Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams." In Proceedings of FraMCoS 5, Vail, Colorado, USA.

B.H. Oh, D. K. Park, J. C. Kim, Y. C.Choi. "Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams." Paper presented at FraMCoS 5, Vail, Colorado, USA, 2004.

B.H. Oh, D. K. Park, J. C. Kim, Y. C.Choi, "Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams," in Proc. FraMCoS 5, Vail, Colorado, USA, 2004.

@inproceedings{b-h-oh2004,
  title     = {Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams},
  author    = {B.H. Oh, D. K. Park, J. C. Kim, Y. C.Choi},
  year      = {2004},
  booktitle = {Proceedings of FraMCoS 5},
  address   = {Vail, Colorado, USA},
}

TY  - CPAPER
TI  - Realistic Prediction of Post-Cracking Behavior for New Structural Synthetic Fiber Reinforced Concrete Beams
AU  - B.H. Oh
AU  - D. K. Park
AU  - J. C. Kim
AU  - Y. C.Choi
PY  - 2004
T2  - Proceedings of FraMCoS 5
CY  - Vail, Colorado, USA
UR  - https://framcos.org/wp-content/uploads/framcos-papers/Realistic_Prediction_of_Post-Cracking_Behavior_for_New_Structural_Synthetic_Fibe.pdf
AB  - A realistic method of analysis for the post-cracking behavior of newly-developed structural synthetic fiber reinforced concrete beams is proposed. In order to predict the post-cracking behavior, pullout behavior of single fiber is identified by tests and employed in the model in addition to the realistic stress-strain behavior of concrete in compression and tension. A probabilistic approach is used to calculate the effective number of fibers across crack faces and to calculate the probability of non-pullout failure of fibers. The proposed theory is compared with test data and shows good agreement. The proposed theory can be efficiently used to predict the…
ER  -