Method for cement hydration simulation and macroscopic attribute predication based on microcosmic image characteristics

Abstract

The invention discloses a method for cement hydration simulation and macroscopic attribute predication based on microcosmic image characteristics. At first, a three-dimensional micro computer fault scanner is adopted to obtain evolution of a cement microstructure, and macroscopic attributes of the cement microstructure are measured at the same time; then, three-dimensional image characteristics are adopted to describe microstructures of cement on each age, and a Genetic programming type algorithm is utilized to directly set up a dynamic relation described in a power system mode between the image characteristics and the macroscopic attributes; the obtained power system is used for simulating cement hydration and predicating the macroscopic attributes. According to the method, complicated image segmentation and phase classification for microcosmic images of the cement are avoided, physical and chemical knowledge does not need to be considered, the three-dimensional image characteristics are calculated from images themselves, the dynamic relation between the image characteristics and the macroscopic attributes is further obtained, influences brought by incorrect phase analysis and image segmentation are avoided, and thus prediction accuracy for development and variation tendencies of the macroscopic attributes is improved.

Description

technical field [0001] The invention relates to the field of cement computer simulation and prediction, in particular to a method for cement hydration simulation and macroscopic property prediction based on microscopic image features. Background technique [0002] The hydration reaction of cement material is a complex time-varying system with multi-phase, multi-size and multi-porosity. The phase refers to the components with specific physical and chemical properties in the substance. Cement also contains various components such as tricalcium silicate, dicalcium silicate, tricalcium aluminate, tetracalcium aluminoferrite, and free calcium oxide. In addition, the composition units of cement slurry range from nano-scale calcium silicate hydrate to millimeter-scale aggregates, and their microstructures are different at different scales. After cement is mixed with sand, water, etc. to form a hardened body, it undergoes various physical and chemical changes during the hydration a...

AI Technical Summary

Problems solved by technology

However, due to the influence of resolution, partial volume effect, noise and other factors, accurate classification and segmentation are extremely difficult to achieve

Although some people use X-ray diffraction analysis to conduct phase analysis and establish three-dimensional data, the three-dimensional data is a three-dimensional structure inferred from two-dimensional distribution, not a real three-dimensional structure

Although 3D micro-computed tomography can obtain real 3D microstructures, it is more difficult to reliably distinguish phase types from the 3D images obtained

The unreliability of the classification affects the description of the microstructure and further affects the calculation of the macroscopic physical properties and hydration simulation results

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