Pore Structure Quantification and Fractal Characterization of MSA Mortar Based on 1H Low-Field NMR

Author:

Jiang Zhen1ORCID,He Huan1ORCID,Tian Guanglin23,Guo Weizuo1,Li Yingzhen1,Pan Zheng2ORCID

Affiliation:

1. Institute of Geotechnical Engineering, Southeast University, Nanjing 211189, China

2. College of Resources and Safety Engineering, Central South University, Changsha 410083, China

3. Department of Civil, Environmental and Architectural Engineering, University of Padova, via Ognissanti 39, 35122 Padova, Italy

Abstract

With the gradual depletion of natural sand due to over-exploitation, alternative building materials, such as manufactured sand aggregate (MSA), have attracted much attention. In order to interpret the evolution of pore structure and fractal characteristics in MSA mortar over long-term water saturation, the 1H low-field nuclear magnetic resonance (LF-NMR) relaxation method was used to investigate the temporal evolution of the pore structure in five single-graded MSA mortars and synthetic-graded mortars with small amplitudes in particle size. MSA presents a fresh rock interface characterized by a scarcity of pores, which significantly reduces the porosity of the mortar. The surface-to-volume ratio (SVR) is employed for characterizing the MSA gradation. Through an analysis of parameters, such as total porosity, pore gradation, pore connectivity, and pore fractal dimension of mortar, a correlation model between pore structure parameters and aggregate SVR is constructed. The fractal characteristics of pores and their variations are discussed under three kinds of pore gradations, and the correlation model between fractal dimension and porosity is established. These results demonstrate the high impermeability and outstanding corrosion resistance of synthetic-graded mortar. The fractal model of the pore structure evolution of MSA mortar has a guiding effect on the pore distribution evolution and engineering permeability evaluation of MSA mortar in engineering.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Graduate Research and Innovation Projects of Jiangsu Province

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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