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高含水率疏浚淤泥固化土的抗压试验与强度预测 被引量:40

Unconfined compression tests and strength prediction method for solidified soils of dredged clays with high water content
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摘要 河湖疏浚及港口建设等不可避免地产生大量疏浚淤泥。针对高含水率疏浚淤泥流动固化处理方法,对淤泥固化土的抗压强度进行了试验研究。基于试验结果,分析了抗压强度的主要影响因素和变化规律,明确了淤泥固化土的三种破坏形态,从机理上解释了以工业废料磷石膏为主要成分的专用添加材料存在最佳掺量的原因。试验结果还表明固化土强度与固化材料掺量呈近似线性递增关系,强度与淤泥初始含水率呈近似线性递减关系,强度随龄期的增长表现出先快后慢的对数增长规律。建立了固化土不同龄期强度与28 d强度的定量关系,提出了高含水率疏浚淤泥流动固化土的抗压强度预测方法,为疏浚淤泥流动固化处理土的工程应用和强度预判提供了重要指导。 A consideriable amount of dredged clays are inevitably produced during dredging of rivers and lakes and construction of ports. A number of unconfined compression tests on solidified soils are performed in connection with the flow-solidification method for dredged clays at high water content. The main influence factors and variation laws of the unconfined compressive strength are analyzed through a lot of laboratory tests. Three types of failure modes of the treated soils are summarized, and the mechanism of an optimum addition content of phosphogypsum as an industrial waste for solidifying treatment is studied. Both the addition content of solidification agent and the initial water content of dredged clays approximately have linear relationship with the unconfined compressive strength of the treated soils, and the relationship between strength and aging exhibits a logarithmic increasing law. Based on the laws derived from laboratory tests, the quantitative relationship between the strength at different ages and the strength at 28 days is established. Finally, a prediction method for the unconfined compressive strength is proposed for the solidified soils of dredged clays with high water content. It is useful for predicting strength of solidified soils from dredged clays in engineering applications.
出处 《岩土工程学报》 EI CAS CSCD 北大核心 2013年第S2期55-60,共6页 Chinese Journal of Geotechnical Engineering
基金 国家自然科学基金项目(51178107) 江苏省普通高校研究生科研创新计划项目(CXZZ_0158 CXZZ12-0109)
关键词 高含水率疏浚淤泥 固化土 无侧限抗压试验 强度 强度预测方法 dredged clay with high water content solidified soil unconfined compression test strength prediction method of strength
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