The macro-modelling of steel fiber reinforced concrete/mortar flexural tensile behavior and mix optimization for flexural strength.
Date on Master's Thesis/Doctoral Dissertation
Civil and Environmental Engineering
Civil Engineering, MS
McGinley, W. Mark
Committee Co-Chair (if applicable)
Kim, Young Hoon
Kim, Young Hoon
fiber reinforced mortar; DEM; prediction; flexural strength
With the continuous advances in materials’ technology, the performance of the commonly used concrete building material has continued to improve. Compressive strengths exceeding 75 MPa are now being used in applications throughout the world. However, the concrete becomes less ductile and more susceptible to sudden failures with increases in its compressive strength. Although the behavior of concrete is generally governed by its compressive strength, its tensile strength, although much lower, is also important. This tensile strength impacts appearance, the serviceability and durability of concrete elements. In addition, minimum levels of tensile strength are required for many concrete applications including, earthquake resistant structures, tanks and other fluid containment structures, runways, slabs and pavement the addition of steel fibers also improves the tensile strength of the composite, a significant structural weakness of concrete. At the micro-level, fibers inhibit the initiation and growth of cracks, and after the micro-cracks coalesce into macro-cracks, fibers abate their unstable propagation, bridging the cracks and improving strength, toughness and ductility. This investigation extended an analytical developed by other for general flexural behavior of fiber reinforced composite concrete materials. Reasonable agreement was found between the model and measured behavior. The model is sufficiently accurate to identify which factors may affect flexural strength and how configurations can be optimized to improve this strength.
Liu, Li, "The macro-modelling of steel fiber reinforced concrete/mortar flexural tensile behavior and mix optimization for flexural strength." (2017). Electronic Theses and Dissertations. Paper 2809.