文献类型：期刊文献

中文题名：基于冻土比热的未冻水含量反演算法

英文题名：Inversion Algorithm of Unfrozen Water Content Based on Specific Heat of Frozen Soil

作者：李顺群[1,2];杨文喜[1,2];王杏杏[1,2];赵磊[3];夏锦红[3]

第一作者：李顺群

机构：[1]天津城建大学土木工程学院;[2]天津市软土特性与工程环境重点实验室;[3]新乡学院土木工程与建筑学院

第一机构：天津城建大学土木工程学院,天津300384

年份：2018

卷号：49

期号：5

起止页码：841-846

中文期刊名：山东农业大学学报：自然科学版

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD_E2017_2018】；

基金：国家自然科学基金(41472253);天津市自然科学基金重点项目(16JCZDJC39000);天津市建设系统科学技术项目发展计划(2016-25)

语种：中文

中文关键词：岩土工程;未冻水含量;反演算法;量热法

外文关键词：Geotechnical engineering;unfrozen water content;inverse algorithm;calorimetry

摘要：考虑未冻水含量随不同负温变化的事实,结合混合量热法中相变潜热对冻土比热测试值的影响,建立了基于比热的冻土未冻水含量反演算法。依据比热具有按各成分质量可进行加权叠加的性质,将相变阶段某一温度点的冻土比热视为冻土骨架、液态水和固体冰三相的比热加权之和,同时还考虑了该温度点未冻水变化率所需潜热的影响,在此基础上导出了根据冻土比热反演其未冻水含量的方法。将冻土相变阶段一定温度下的比热视为冻土骨架、液态水和固体冰比热的加权总和。采用混合量热试验测量了某冻土试样的未冻水含量,并利用本文给出的反演算法计算了相应的未冻水含量。两种测试结果的未冻水含量变化趋势相同,即未冻水含量随着温度的降低逐渐减少,且递减趋势逐渐减弱;与混合量热试验方法相比,本文给出的算法得出的未冻水含量略高,这主要是因为新算法考虑了相变潜热的影响,因而理论上更为合理。
The unfrozen water content varies with different negative temperatures, and combining the effect of the latent heatof phase change on the specific heat test value of frozen soil in the mixed calorific method, the inversion algorithm ofunfrozen water content in frozen soil based on specific heat was established. The specific heat can be weighted andsuperimposed according to the mass of each component, the specific heat of frozen soil at a certain temperature in phasetransition stage is regarded as the weighted sum of specific heat of frozen soil skeleton, liquid water and solid ice. At thesame time, the influence of latent heat on the change rate of unfrozen water at this temperature point is considered, and themethod of retrieving its unfrozen water content according to the specific heat of frozen soil is derived. The specific heat at acertain temperature in the phase transition of frozen soil is regarded as the weighted sum of the specific heat of frozen soilskeleton, liquid water and solid ice.The unfrozen water content of a frozen soil sample was measured by mixing calorimetry,and the corresponding unfrozen water content was calculated by using the inversion algorithm given in this paper. Thechange trend of unfrozen water content between the two test results is the same. That is, the content of unfrozen waterdecreases gradually with the decrease of temperature, and the decreasing trend decreases gradually. Compared with the mixedcalorimetric test method, the unfrozen water content obtained by the algorithm in this paper is slightly higher. This is mainlybecause the new algorithm considers the effect of latent heat, so it is more reasonable in theory.