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Evaluation of Current Concrete Creep Prediction Models

Abstract Details

2016, Master of Science, University of Toledo, Civil Engineering.
Creep is one of the main reasons that concrete shape changes with time. These changes may cause cracking or deflection that greatly affect the service life of the concrete structures. This study presents an evaluation of seven creep prediction models for their overall performance under the guidance of ACI codes and AASHTO codes. The prediction models include ACI 209R-92, B3, GL 2000, CEB 90, CEB 90-99, fib 2010 and AASHTO 2014. Two numerical examples were set up to carry out the calculated values for each model up to 3650 days. The results have also been compared with similar studies with historical creep performance data sets in the past decade. Prediction of creep by GL 2000 Models is found to be the best performance among these models based on this study.
Douglas Nims (Committee Chair)
Mark Pickett (Committee Member)
Serhan Guner (Committee Member)
166 p.

Recommended Citations

Citations

  • Zhang, R. (2016). Evaluation of Current Concrete Creep Prediction Models [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1461963600

    APA Style (7th edition)

  • Zhang, Ruomeng. Evaluation of Current Concrete Creep Prediction Models. 2016. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1461963600.

    MLA Style (8th edition)

  • Zhang, Ruomeng. "Evaluation of Current Concrete Creep Prediction Models." Master's thesis, University of Toledo, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1461963600

    Chicago Manual of Style (17th edition)