长江科学院院报2016，Vol.33Issue(10)：116-120,5.DOI:10.11988/ckyyb.20150689
基于核磁共振技术的疏浚淤泥固化土孔隙水含量及分布研究
Pore Water Content of Solidified Dredging Silt and Its Distribution Based on Nuclear Magnetic Resonance
摘要
Abstract
Low field proton nuclear magnetic resonance (NMR) technology is used to measure the distribution of transverse relaxation time T2 of solidified dredging silt soil to study the content and distribution law of pore water in solidified soil.Results show that there is only one main peak in the distribution of relaxation time of solidified soil samples of different cement dosages ; the peak area decreases gradually with the growth of curing age and the in -crease of cement dosage.Pore water content decreases gradually , and the decrease first starts from big pores .The main effect of curing age is reducing the moisture content in the big pores , whereas cement is not only beneficial for reducing the moisture content in the big pores , but also the moisture in the small pores .With the growth of curing age and the increase of cement dosage , the scope of T2 distribution of solidified soil narrows and the distribution tends to short relaxation time, and pore water is distributed in smaller pores gradually .The weighted average relaxa-tion time T2 declines rapidly with the growth of curing age first , and the decline rate decreases gradually after 7 days.Solidified soil’s total nuclear magnetic signal amplitude of T2 shows an overall trend of decrease with the cu -ring age growth, and the speed slows down after 7 days; this is because the water is consumed or converted into mineral water due to internal chemical reaction in solidified soil .Nuclear magnetic resonance (NMR) technology can well present the content and distribution law of pore water in the process of solidification .关键词
疏浚淤泥/固化土/核磁共振/T2分布/孔隙水/弛豫时间Key words
dredging silt/solidified soil/nuclear magnetic resonance/T2 distribution/pore water/relaxation time分类
建筑与水利引用本文复制引用
程福周,雷学文,孟庆山,陈洁..基于核磁共振技术的疏浚淤泥固化土孔隙水含量及分布研究[J].长江科学院院报,2016,33(10):116-120,5.基金项目
湖北省自然科学基金青年杰出人才项目 （）
