International Concrete Abstracts Portal

This paper presents a design model for the one-way shear of ultra-high-performance concrete (UHPC) beams without transverse reinforcement. The model unifies the shear design of UHPC with the ACI 318 shear design approach for conventional concrete. Hence, the proposed model accounts for the longitudinal reinforcement ratio, the axial load effects, while the tensile strength of UHPC replaces the concrete compressive strength term. The effects of fiber type, fiber alignment, beam shape, and beam size are incorporated through dimensionless parameters, with their values calibrated using UHPC beam and panel shear datasets. The proposed shear model was evaluated using a database of 137 UHPC non-prestressed and prestressed rectangular and I-shape beam shear tests performed in the United States and elsewhere.

Ultra-high-performance concrete (UHPC) is composed of a high volume fraction of binder and steel fibers, and a very low water content, resulting in enhanced strength and ductility, along with higher cost and environmental impacts. This study develops a UHPC mixture amenable to three-dimensional (3-D) printing, with 30% of cement (by mass) replaced with a combination of replacement materials. The proportioned UHPC mixture with 1.5% fiber volume fraction demonstrates 28-day compressive strengths of > 120 MPa (17.4 kips), and limited anisotropy when tested in the three orthogonal directions. Furthermore, 3-D printed layered composites are developed where UHPC (with and without fiber reinforcement) and conventional concrete layers are synergistically used in appropriate locations of the beam so as to achieve mechanical performance that is comparable to 3-D printed UHPC sections. Such manufacturing flexibility offered by 3-D printing allows conserving resources and attaining desirable economic and environmental outcomes, as is shown using life cycle and techno-economic analyses (LCA/TEA). Experimental and theoretical analysis of load carrying capacity and preliminary LCA/TEA show that >50% of the fiber-reinforced UHPC beam volume (in the compression zone) can be replaced with conventional concrete, resulting in only a <20% reduction in peak load carrying capacity, but >35% reduction in cost and >20% reduction in CO2 emissions. These findings show that targeted layering of different materials through 3-D printing enables the development and construction of 3-D-printed performance-equivalent structural members with lower cost and environmental impacts.

This paper presents an experimental study on the residual bond of glass fiber-reinforced polymer (GFRP) rebars embedded in ultra-high-performance concrete (UHPC) subjected to elevated temperatures, including a comparison with ordinary concrete. Based on the range of thermal loading from 25°C (77°F) to 300o°C (572o°F), material and push-out tests are conducted to examine the temperature-dependent properties of the constituents and the behavior of the interface. Also performed are chemical and radiometric analyses. The average specific heat and thermal conductivity of UHPC are 12.1% and 6.1% higher than those of ordinary concrete, respectively. The temperature-induced reduction of density in these mixtures ranges between 5.4% and 6.2% at 300o°C (572o°F). Thermal damage to GFRP, in the context of microcracking, is observed after exposure to 150°C (302°F). Fourier transform infrared spectroscopy reveals prominent wavenumbers at 668 cm^-1 (263 in.^-1) and 2,360 cm^-1 (929 in.^-1), related to the bond between the fibers and resin in the rebars, while spectroradiometry characterizes the thermal degradation of GFRP through diminished reflectivity in conjunction with the peak wavelength positions of 584 nm (2,299×10^-8 in.) and 1,871 nm (7,366×10^-8 in.). The linearly ascending bond-slip response of the interface alters after reaching the maximum shear stresses, leading to gradual and abrupt declines for the ordinary concrete and UHPC, respectively. The failure mode of the ordinary concrete interface is temperature-sensitive; however, spalling in the bonded region is consistently noticed in the UHPC interface. The fracture energy of the interface with UHPC exceeds that of the interface with the ordinary concrete beyond 150o°C (302o°F). Design recommendations are provided for estimating reductions in the residual bond of the GFRP system exposed to elevated temperatures.

Ultra-high-performance concrete (UHPC) is increasingly gaining attention for structural applications, with structural fire safety being a key design factor. It is evident from recent research that UHPC structural members are prone to fire-induced spalling and have lower fire resistance than traditional concrete members. Currently, there are no specific guidelines for the fire design of UHPC members, and extending existing fire design provisions developed for conventional concrete members may not be appropriate, considering the unique challenges posed by UHPC. This paper outlines the critical factors contributing to the lower fire performance of UHPC structural members, discussing these factors in detail, using data from both numerical and experimental studies. Based on the results from parametric studies, as well as observations from published data, a set of design guidelines for mitigating spalling and enhancing the fire resistance of UHPC beams is proposed.

Ultra-high-performance geopolymer concrete (UHP-GPC) can exhibit high to exceptional strength. Given the importance of UHP-GPC’s mechanical properties, prediction of its 28-day compressive strength (fc′) remains insufficiently explored. This study predicts UHP-GPC’s fc′ based on alkali-activated materials, sand, fiber volume, and water-geopolymer binder and alkali activator ratios. Advanced statistical modeling and a spectrum of ensemble machine learning (ML) algorithms including random forest (RF), gradient boosting (GB), extreme gradient boosting (XGB), and stacking are used to predict UHP-GPC’s strength. The derived models reveal the significance of fiber, slag, and sand as the most significant factors influencing the 28-day fc′ of UHP-GPC. All the ML models demonstrate higher precision in forecasting fc′ of UHP-GPC compared to statistical modeling, with R2 peaking at 0.85. Equations are derived to predict the strength of UHP-GPC. This paper reveals that UHP-GPC with superior mechanical properties can be designed for further sustainability.