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基于孔隙结构变化的水泥基材料抗冻性分布图

Distribution Map of Frost Resistance for Cement-Based Materials Based on Pore Structure Change.

作者信息

Xuan Quy Nguyen, Noguchi Takumi, Na Seunghyun, Kim Jihoon, Hama Yukio

机构信息

Department of Civil Engineering and Architecture, Muroran Institute of Technology, Hokkaido 0508585, Japan.

Department of Civil Engineering, Hanoi Architectural University, Hanoi 100000, Vietnam.

出版信息

Materials (Basel). 2020 May 31;13(11):2509. doi: 10.3390/ma13112509.

DOI:10.3390/ma13112509
PMID:32486410
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7321429/
Abstract

This paper presents a prediction method and mathematical model based on experimental results for the change in pore structure of cement-based materials due to environmental conditions. It focuses on frost damage risk to cement-based materials such as mortar. Mortar specimens are prepared using water, ordinary Portland cement, and sand and the pore structure is evaluated using mercury intrusion porosimetry. New formulas are proposed to describe the relationship between the pore structure change and the modified maturity and to predict the durability factor. A quantitative prediction model is established from a modified maturity function considering the influences of environmental factors like temperature and relative humidity. With this model, the frost resistance of cement-based materials can be predicted based on weather data. Using the prediction model and climate data, a new distribution map of frost damage risk is created. It is found that summer weather significantly affects frost resistance, owing to the change in pore structure of cement-based mortar. The model provides a valuable tool for predicting frost damage risk based on weather data and is significant for further research.

摘要

本文基于实验结果,提出了一种针对环境条件导致的水泥基材料孔隙结构变化的预测方法和数学模型。它聚焦于诸如砂浆等水泥基材料的冻融破坏风险。使用水、普通硅酸盐水泥和砂制备砂浆试件,并采用压汞法评估孔隙结构。提出了新的公式来描述孔隙结构变化与修正成熟度之间的关系,并预测耐久性因子。从考虑温度和相对湿度等环境因素影响的修正成熟度函数建立了定量预测模型。利用该模型,可根据气象数据预测水泥基材料的抗冻性。使用该预测模型和气候数据,绘制了新的冻融破坏风险分布图。研究发现,由于水泥基砂浆孔隙结构的变化,夏季天气对其抗冻性有显著影响。该模型为基于气象数据预测冻融破坏风险提供了有价值的工具,对进一步研究具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/f460132d12b1/materials-13-02509-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/979ece098ae6/materials-13-02509-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/3106bc2510ab/materials-13-02509-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/2ab568fafd55/materials-13-02509-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/dbdbae60a748/materials-13-02509-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/244399e64b7f/materials-13-02509-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/ed2a939a17e3/materials-13-02509-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/1851d43037c3/materials-13-02509-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/a995d1cfaaba/materials-13-02509-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/929f8617e720/materials-13-02509-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/f460132d12b1/materials-13-02509-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/979ece098ae6/materials-13-02509-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/3106bc2510ab/materials-13-02509-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/2ab568fafd55/materials-13-02509-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/dbdbae60a748/materials-13-02509-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/244399e64b7f/materials-13-02509-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/ed2a939a17e3/materials-13-02509-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/1851d43037c3/materials-13-02509-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/a995d1cfaaba/materials-13-02509-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/929f8617e720/materials-13-02509-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f63/7321429/f460132d12b1/materials-13-02509-g010.jpg

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本文引用的文献

1
Mercury Intrusion Porosimetry and Image Analysis of Cement-Based Materials.水泥基材料的压汞孔隙率测定法及图像分析
J Colloid Interface Sci. 1999 Mar 1;211(1):39-44. doi: 10.1006/jcis.1998.5986.