Hardened ordinary cement paste thermal expansion coefficient multiscale predication method

A technology of thermal expansion coefficient and ordinary cement, which is applied in the field of cement-based materials, can solve the problems of staying and limiting the scope of engineering applications, and achieve the effect of solving many influencing factors

Inactive Publication Date: 2013-05-15
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows researchers to predict how well different types of concrete will expand when exposed to certain conditions over time by creating an accurate prediction model from its physical structure or chemical composition. It also includes methods for measuring these parameters accurately during construction process. By doing this, it becomes possible to better design new building materials while ensuring they meet specifications before being put into use.

Problems solved by technology

Technological Problem: Current measurement of thermal expansion (TCE) values requires complicated procedures that take longer than necessary or result in wasted productive work. Additionally, current measurements have limitations with regards to simulating physical behavior within specific ranges based solely upon these factors like temperature and pressure.

Method used

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  • Hardened ordinary cement paste thermal expansion coefficient multiscale predication method
  • Hardened ordinary cement paste thermal expansion coefficient multiscale predication method
  • Hardened ordinary cement paste thermal expansion coefficient multiscale predication method

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Embodiment Construction

[0025] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0026] Based on the formation and development of the microstructure of cement-based materials, the present invention studies the variation law of the thermal expansion coefficient of hardened ordinary cement paste, and establishes a multi-scale prediction model for the thermal expansion coefficient of hardened ordinary cement paste based on the microstructure of the cement paste, the constituent materials and the essential properties of the phase. , and according to the prediction model, the thermal expansion coefficient of hardened ordinary cement slurry is accurately predicted.

[0027] Cement-based materials have inherent multi-scale characteristics in time and space, such as high and low density hydrated calcium silicate at the nanoscale, while hydration products such as calcium hydroxide, unhydrated cement particles, and large capillary pores are at th

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Abstract

The invention discloses a hardened ordinary cement paste thermal expansion coefficient multiscale predication method. The method comprises the following steps of: step A: dividing hardened ordinary cement paste into different scales according to microstructure composition, wherein the different scales comprise different typical phases; step B. acquiring the volume percentage composition of each phase in different scales of the hardened ordinary cement paste; and step C. sequentially calculating the thermal expansion coefficient of each scale of the hardened ordinary cement paste from the minimum scale by adopting an upward gradual homogenization method, wherein the thermal expansion coefficient of the maximal scale is the thermal expansion coefficient of the hardened ordinary cement paste. According to the invention, a hardened ordinary cement paste thermal expansion coefficient multiscale predication model is established according to cement and hydration product essential attributes as well as cement paste microstructure composition and development principle, so that the relationship between the cement paste microstructure and macro-properties is established, and the problems of multiple influence factors on the macro-properties of cement-based materials and high discretization of test data are solved essentially.

Description

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Claims

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Application Information

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Owner HOHAI UNIV
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