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Parameter modification and extension of the compressible packing model (CPM) for steel fiber-aggregate mixtures.

Authors :
Gong, Chenjie
Kang, Lei
Cheng, Mingjin
Lei, Mingfeng
Source :
Powder Technology. May2023, Vol. 422, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

With the popularization of steel fiber reinforced concrete (SFRC), research on the packing of steel fiber-aggregate (F-A) mixtures has become a significant prerequisite for the mix design of SFRC. Although the compressible packing model (CPM) can be used to predict the packing density (PD) of F-A mixtures, its interaction coefficients are determined from the elementary particle classes without fibers (narrow particle size distribution), which limits the applicability of the CPM. In this study, after adding steel fibers to binary aggregate with wide particle size distribution, the PDs of steel fiber-binary aggregate (F-BA) mixtures were measured. The method of establishing interaction coefficients for F-A mixtures was modified, and the general formulas of interaction coefficients were proposed. The novel CPM model after comprehensive corrections of fiber disturbance parameter and interaction coefficients for F-A mixture was established. Compared with the conventional CPM, the prediction accuracy of novel CPM was greater. [Display omitted] • The effect of aggregate combinations and steel fiber combinations on packing density evolution was studied. • Corrections of fiber disturbance parameter and interaction coefficients in Compressible Packing Model were proposed. • The novel CPM was developed for packing density prediction of steel fiber-binary aggregate mixtures. • The novel CPM can be applied to aggregate with large particle classes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00325910
Volume :
422
Database :
Academic Search Index
Journal :
Powder Technology
Publication Type :
Academic Journal
Accession number :
162891784
Full Text :
https://doi.org/10.1016/j.powtec.2023.118479