Implementation and Verification of Simple Concrete Biaxial Models Under Monotonic, Cyclic, and Dynamic Loading

  • Author / Creator
    Salazar Lopez, Jesus Ramon
  • An accurate prediction of the response and strength of concrete elements, which exhibit nonlinear behavior even under moderate loading, is essential for evaluating their safety and serviceability. To describe the nonlinear behavior of this material, continuum damage mechanics has been demonstrated to be effective at developing damage models that can be then implemented in finite element analysis (FEA) platforms. One such platform is the open-source, freely available software OpenSees, which is a FEA software framework for simulation in earthquake engineering (Fenves, 2001).This project studies the performance of simple, yet accurate biaxial concrete materials, amenable for FE analysis, with the ability to account for stiffness recovery in reversal loading (crack closing), permanent deformations, and low to moderate confinement. Two concrete damage models ¬– the PRM model (Pontiroli, Rouquand, & Mazars, 2010) and the “” model (Mazars, Hamon, & Grange, 2015)– were implemented in OpenSees to develop new biaxial concrete materials. The performance of the 2D new biaxial materials implemented in OpenSees is studied by comparing five concrete experimental tests with varying complexity taken from the literature with analytical models built in OpenSees. The experiments consist of 1) plain concrete plates tested under biaxial states of stress (Kupfer, Hilsdorf, & Rüsch, 1969), 2) a simply-supported beam under monotonic loading tested as part of this project, 3) a simply-supported beam under reversal-cyclic loading (Ranjbaran, Rezayfar, & Mirzababai, 2018), 4) a rectangular shear wall under reversal-cyclic loading (Hiotakis, 2004), and 5) a full-scale four-storey building under dynamic, seismic loading (Nagae, et al., 2015). The advantages and limitations of each model are discussed.

  • Subjects / Keywords
  • Graduation date
    Spring 2019
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
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