TY - JOUR
T1 - Introducing Particle Shape Metric (PSM)
T2 - A fundamental parameter that encapsulates role of aggregate shape in enhancing packing and performance
AU - Baten, Bayezid
AU - Garg, Nishant
N1 - This research was carried out in the Newmark lab facilities of the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. The authors would like to acknowledge that a part of this research was carried out at the Materials Research Laboratory Central Research Facilities at the University of Illinois at Urbana-Champaign. The conducted research is a part of the project ICT-R27\u2013232 funded by the Illinois Department of Transportation (IDOT) in cooperation with the Illinois Center for Transportation (ICT). The authors also acknowledge Riverstone group for supplying the sand samples for the research work.
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Nishant Garg reports financial support was provided by Illinois Department of Transportation. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.This research was carried out in the Newmark lab facilities of the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. The authors would like to acknowledge that a part of this research was carried out at the Materials Research Laboratory Central Research Facilities at the University of Illinois at Urbana-Champaign. The conducted research is a part of the project ICT-R27\u2013232 funded by the Illinois Department of Transportation (IDOT) in cooperation with the Illinois Center for Transportation (ICT). The authors also acknowledge Riverstone group for supplying the sand samples for the research work.
PY - 2024/8
Y1 - 2024/8
N2 - Current packing models for aggregates are robust but they largely prioritize Particle Size Distributions (PSDs). There may be room for further improvement by incorporating aggregate shape. Here, we image up to 250 unique sand particles from 4 different sands and obtain key shape parameters such as Circularity (C), Roundness (R), and Aspect Ratio (AR). Combining these independent parameters, we introduce a new, fundamental parameter – the Particle Shape Metric (PSM = C.R/AR). Interestingly, this PSM has a strong correlation with the Packing Coefficient (R2 = 0.98), obtained independently from helium pycnometry. Most importantly, PSM of the sands seems to have a direct influence on the yield stress, compressive strength, and open porosity of a variety of mortar mixtures. These findings highlight the potential role of shape metrics in influencing the granular skeleton of cementitious composites, marking a paradigm shift towards optimizing their workability, strength, and durability.
AB - Current packing models for aggregates are robust but they largely prioritize Particle Size Distributions (PSDs). There may be room for further improvement by incorporating aggregate shape. Here, we image up to 250 unique sand particles from 4 different sands and obtain key shape parameters such as Circularity (C), Roundness (R), and Aspect Ratio (AR). Combining these independent parameters, we introduce a new, fundamental parameter – the Particle Shape Metric (PSM = C.R/AR). Interestingly, this PSM has a strong correlation with the Packing Coefficient (R2 = 0.98), obtained independently from helium pycnometry. Most importantly, PSM of the sands seems to have a direct influence on the yield stress, compressive strength, and open porosity of a variety of mortar mixtures. These findings highlight the potential role of shape metrics in influencing the granular skeleton of cementitious composites, marking a paradigm shift towards optimizing their workability, strength, and durability.
KW - Binder intensity
KW - Hydration
KW - Packing coefficient
KW - Particle shape metric
KW - Rheology
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U2 - 10.1016/j.cemconres.2024.107558
DO - 10.1016/j.cemconres.2024.107558
M3 - Article
AN - SCOPUS:85194872242
SN - 0008-8846
VL - 182
JO - Cement and Concrete Research
JF - Cement and Concrete Research
M1 - 107558
ER -