Determination of specific surface area of irregular aggregate by random sectioning and its comparison with conventional methods. (1st March 2021)

• Record Type: Journal Article
• Authors: Ren, Qiang; Ding, Luchuan; Dai, Xiaodi; Jiang, Zhengwu; Ye, Guang; De Schutter, Geert
• Is Part Of: Construction & building materials. Volume 273(2021)
• Publication Date: 2021-03-01
• Subjects: Aggregates -- Specific surface area -- Random sectioning -- Spherical assumption -- BET -- Computed tomography; Building materials -- Periodicals; 624.18
• DOI: 10.1016/j.conbuildmat.2020.122019
• Languages: English
• ISSNs: 0950-0618

Abstract

Highlights: An easy-to-perform method is proposed to determine SSA of irregular aggregate. The proposed method is reliable compared to CT. Difference among various methods is analyzed. Suggestions are provided for selecting proper testing method of SSA. Abstract: A two-dimensional (2D) image-based methodology was proposed to measure the specific surface area (SSA, specified as the surface area per unit volume) of irregular aggregate by random sectioning. Conventional methods including spherical assumption, Brunauer-Emmett-Teller (BET) and computed tomography (CT) tests were used and compared in this study. Results show that spherical assumption provides the lowest SSA among these methods since the feature of anisotropy in dimension is not considered. SSA by BET test has one order of magnitude higher value than others, which is attributed to the fact that BET method measures each position of particles that nitrogen molecule can be adsorbed on during the applied relative pressure, based on the 'pixel' of nitrogen molecule. The proposed random sectioning method presents very similar SSA result compared to CT method, indicating that it can be considered as a reliable method. To improve the estimation of SSA by random sectioning method, factors that may influence SSA result were analyzed. Results indicate that the number of samples should be high enough to reach a constant result and the thresholding algorithm should be adequate. Besides, a higher resolution of pixel provides a higher SSA value. The comparison among these methods demonstrate that it is necessary to determine the scale at which the features of the surface are supposed to be captured before selecting the optimal testing method.