Drying kinetic and shrinkage of sand-concrete applied by shooting process

Malab, Souad; Benaissa, Imene; Aggoun, Salima; Nasser, Bachir

doi:10.1080/19648189.2015.1110055

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…Porometry / porosimetry of engineering composites and building materials is the basis of their quality assessment, which characterizes mechanical properties of their constituents [1,2], resistance to the chemically and physically unstable environment [3][4][5][6][7][8][9][10][11]. Pore measurements can be used not only for solidified construction composites, but also for their precursors (such as mineral aggregates and nodules -from clays and lime to sand) [12,13]. For polymer composite materials in real construction building environmental conditions (such as soil, atmospheric and hydrospheric media for geopolymers [14] and geotextiles [15][16][17][18]), porosimetry or porometry is a very important element of the protocols of their physical characterization for hygroscopicity and percolation testing.…”

Section: Introductionmentioning

confidence: 99%

Towards Multi-Angle Multispectral Optical 3D Porometry and Lens-Less Porometry of Civil Engineering Composites and Geocomposites Including Biodegradable Ones

Grigorieva¹,

Градов²,

Gradova³

et al. 2022

Advances in Transdisciplinary Engineering

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In this work we demonstrate the images of multi-angle porometry of civil engineering composites with the static pores. We also demonstrate an example of the application of multi-angle scanning methods where each pore visualization angle corresponds to the certain time moment. The light source can be either incoherent or coherent, which determines the data interpretation principles and data processing algorithms. The light detector can be either optical microscopic (with lenses) or lens-less, that is, either a microscope with an objective or a lens-less one, especially a holographic lens-less microscope. The latter is by definition compatible with multi-angle microporometry. The data on reconstruction of the surface texture of a complex pore using an incoherent light source and the Sobel-Feldman operator (Stanford Artificial Intelligence Laboratory (SAIL)) is presented.

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