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砾类亚硫酸盐渍土盐胀率的简化预测模型 被引量:16

Simplified Prediction Model of Salt Expansion Rate for Gravel Sulfite Saline Soil
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摘要 为了充分发挥砾类亚硫酸盐渍土的路用工程价值,以盐胀控制要素为研究切入点,开展单因素盐胀试验;并以其试验结果为基础,通过正交设计方法开展多因素交互作用下的砾类亚硫酸盐渍土的盐胀试验,建立盐胀率简化预测模型;采用SPSS软件对显著性影响因素开展逐步回归分析,明确砾类亚硫酸盐渍土的盐胀敏感参数。研究结果表明:在最佳含水率和压实度93%的工况下,砾类亚硫酸盐渍土起胀含盐量为0.5%,破坏含盐量为2.6%;盐胀率随含水率的变化规律会因含盐量的增加而产生改变;盐胀率与初始干密度正相关,与附加荷载负相关;盐胀要素对盐胀率的影响按权重大小排序依次为易溶盐含量(0.379)、含水率(0.243)、易溶盐含量与含水率的交互作用(0.166)、附加荷载(0.151)。 In order to make full use of gravel sulfite saline soil for road engineering,the factors controlling salt expansion deemed as the research cut-in point,the salt expansion tests with single factor were carried out.Based on the single factor salt expansion test results,the salt expansion tests for gravel sulfite soil under the interaction of multiple factors were performed with the orthogonal design method,and the simplified prediction model of salt expansion rate was established.The sensitive parameters for salt expansion of gravel sulfite saline soil were put forward using stepwise regression analysis of SPSS.The results show that the salt content of confined expansion is 0.5% and the failure salt content is 2.6% for gravel sulfite saline soil,under the normal operating conditions of the optimum water content and 93% compaction.Salt expansion rate with change pattern of the water content will be changed due to increased salinity.Salt expansion rate increases with the increase of initial dry density,and decreases with theincrease of the additional load.According to the effect weight,the effects of sensitive parameters of gravel sulfite saline soil on the salt expansion rate sequentially are salinity content(0.379),water content(0.243),interaction of salinity and water content(0.166)and additional load(0.151).
出处 《中国公路学报》 EI CAS CSCD 北大核心 2015年第11期1-7,14,共8页 China Journal of Highway and Transport
基金 国家自然科学基金项目(51209006) 中央高校基本科研业务费专项资金项目(2014G1211008 2014G1311082 2014G1251026) 长安大学基础研究支持计划专项基金项目 新疆维吾尔自治区交通运输厅科技项目(2014-08)
关键词 道路工程 砾类亚硫酸盐渍土 预测模型 敏感参数 盐胀率 road engineering gravel sulfite saline soil prediction model sensitive parameter salt expansion rate
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