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粗粒氯盐渍土动态回弹模量与加州承载比相关性研究

Research on correlation between dynamic resilient modulus and CBR of coarse-grained chlorine saline soil.

作者信息

Deng Miaoyi, Wang Jinshan, Wang Xiangyang, Xie Xiangbing, Wang Kaiwei, He Yahui

机构信息

School of Civil and Environmental Engineering, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China.

School of Civil Engineering, Qingdao University of Technology, Qingdao, 266520, China.

出版信息

Sci Rep. 2024 Feb 28;14(1):4854. doi: 10.1038/s41598-024-54538-3.

DOI:10.1038/s41598-024-54538-3
PMID:38418474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10902400/
Abstract

A large area of coarse-grained saline soil is distributed in saline soil areas, and chlorine saline soil with a high salt content is a typical representative. The dynamic resilient modulus was accurately predicted using the California-bearing ratio (CBR) value to determine the relationship between the dynamic resilient modulus of coarse-grained chloride saline soil and its CBR value. Indoor dynamic triaxial tests and CBR tests were conducted to investigate the evolution of the dynamic resilient modulus (M) and CBR of coarse-grained chlorine saline soil under the influence of the stress level, water content, and salt content. The test results showed that the dynamic resilient modulus increased with an increase in the confining pressure and bulk stress and decreased as the deviator stress increased; however, the CBR increased with an increase in the corresponding unit pressure. The higher the salt and water contents, the more obvious the influence of stress on the dynamic resilient modulus and CBR value. Under the same stress level, the decrease in the dynamic resilient modulus and CBR gradually increased with increasing salt and moisture content, and the effect of salt tended to be more significant than that of water. Based on the correlation between the dynamic resilient modulus and CBR revealed by the experiment, a more widely applicable model was selected from the existing theoretical models related to CBR for the regression analysis of the test data, and a prediction model of the dynamic resilient modulus based on the CBR value was proposed (M = 21.06CBR). This prediction model had a high correlation coefficient (R = 0.893) and could effectively predict the dynamic resilient modulus of coarse-grained chlorine saline soil using CBR values. The results provide a simple and reliable method for determining the design parameters of a coarse-grained saline soil subgrade.

摘要

盐渍土地区分布着大面积的粗粒盐渍土，高含盐量的氯盐渍土是典型代表。利用加州承载比（CBR）值准确预测动态回弹模量，以确定粗粒氯盐渍土的动态回弹模量与其CBR值之间的关系。进行了室内动三轴试验和CBR试验，研究了粗粒氯盐渍土在应力水平、含水量和含盐量影响下动态回弹模量（M）和CBR的变化规律。试验结果表明，动态回弹模量随围压和体应力的增加而增大，随偏应力的增加而减小；而CBR随相应单位压力的增加而增大。含盐量和含水量越高，应力对动态回弹模量和CBR值的影响越明显。在相同应力水平下，动态回弹模量和CBR的降低幅度随含盐量和含水量的增加而逐渐增大，且盐的影响往往比水更显著。基于试验揭示的动态回弹模量与CBR之间的相关性，从现有的与CBR相关的理论模型中选取适用性更广的模型对试验数据进行回归分析，提出了基于CBR值的动态回弹模量预测模型（M = 21.06CBR）。该预测模型具有较高的相关系数（R = 0.893），能够利用CBR值有效预测粗粒氯盐渍土的动态回弹模量。研究结果为确定粗粒盐渍土路基设计参数提供了一种简单可靠的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/8c56b1995c74/41598_2024_54538_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/cd132fa248e6/41598_2024_54538_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/ab8b240478cf/41598_2024_54538_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/8648ff05be34/41598_2024_54538_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/f95ab61defb0/41598_2024_54538_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/8aaae1b5f95b/41598_2024_54538_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/a5a613def5fc/41598_2024_54538_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/d875dc912712/41598_2024_54538_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50b7/10902400/8c56b1995c74/41598_2024_54538_Fig13_HTML.jpg

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