@article{Chen2023, 
author = {Geng Chen and Minguo Lin and Yongqiang Wu and Gangqiang Kong},
title = {The Quantification Method and Verification Tests of the Mixing Uniformity of Cement Soil},
year = {2023},
journal = {Chinese Journal of Underground Space and Engineering},
volume = {19},
number = {2},
pages = {504-512},
keywords = {cement soil, X-ray fluorescence spectrometer, uniformity, unconfined compressive strength},
url = {https://www.sciopen.com/article/10.20174/j.juse.2023.02.017},
doi = {10.20174/j.juse.2023.02.017},
abstract = {The mixing uniformity of cement soil is one of the important factors affecting the strength of cement soil. At present, there is no effective quantitative method and testing method, and it is impossible to achieve real-time detection after mixing. In this paper, X-ray fluorescence spectrometer (XRF) was used to measure the content of calcium in cement soil, and a real-time evaluation method for the mixing uniformity of cement soil was proposed based on the distribution characteristics of calcium. Taking mixing uniformity as the object, the strength response analysis of cement soil under the conditions of different cement content, moisture content and curing age was carried out, and the influence of mixing uniformity on the strength of cement soil was studied. The test results showed that: mixing uniformity, cement content, moisture content and curing age were all important parameters affecting the strength of cement soil; the strength of cement soil decreased with increasing mixing unevenness coefficient (UY) value, and the effect of UY value on the strength of cement soil increased with increasing cement content and curing age; the cement soil near the liquid limit corresponded to the highest strength with the same cement content and UY value. In addition, the calculation formula of the unconfined compressive strength (UCS) of cement soil considering the uniformity was proposed by introducing the uniformity correction coefficient α. Indoor and field tests were carried out to verify the formula, and the results found that when UY value was less than 0.4, the calculated results were more consistent with the experimental data.}
}