Shuang-Fei Zheng , Xu Li , Yu-Xin Zhao , Meng Wang , Xiao-Kang Li
{"title":"基于核磁共振的解冻含水量测量原理和计算方法的比较研究","authors":"Shuang-Fei Zheng , Xu Li , Yu-Xin Zhao , Meng Wang , Xiao-Kang Li","doi":"10.1016/j.coldregions.2024.104255","DOIUrl":null,"url":null,"abstract":"<div><p>Unfrozen water content is a key concern in frozen soil. The measurement of unfrozen water using nuclear magnetic resonance (NMR) has gained significant popularity. However, the extraction methods of unfrozen water content from NMR data are still lack of a comprehensive evaluation. To overcome this challenge, a constant unfrozen water test (three representative soils, i.e., silty clay, bentonite clay, and silt sand, are selected) is proposed and used to study on the influence of temperature on NMR signal. Further, three extraction methods of unfrozen water content, such as the Curie law method (CLM), paramagnetic regression line (PRL) method, and resistivity-temperature method (RTM), are evaluated. The results demonstrate that: (1) As a theoretical method, CLM is the most convenient but with the highest error, as an average water content error of 0.74%. (2) PRL requires four calibration points and has an average water content error of 0.28%. (3) RTM needs a special calibration curve and yields the smallest water content error of 0.07%. Overall, RTM with a pre-calibrated <em>λ</em> is recommended to obtain higher precision and PRL can be employed as a convenience choice.</p></div>","PeriodicalId":10522,"journal":{"name":"Cold Regions Science and Technology","volume":"226 ","pages":"Article 104255"},"PeriodicalIF":3.8000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative study of unfrozen water content measurement principles and calculation methods based on NMR\",\"authors\":\"Shuang-Fei Zheng , Xu Li , Yu-Xin Zhao , Meng Wang , Xiao-Kang Li\",\"doi\":\"10.1016/j.coldregions.2024.104255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Unfrozen water content is a key concern in frozen soil. The measurement of unfrozen water using nuclear magnetic resonance (NMR) has gained significant popularity. However, the extraction methods of unfrozen water content from NMR data are still lack of a comprehensive evaluation. To overcome this challenge, a constant unfrozen water test (three representative soils, i.e., silty clay, bentonite clay, and silt sand, are selected) is proposed and used to study on the influence of temperature on NMR signal. Further, three extraction methods of unfrozen water content, such as the Curie law method (CLM), paramagnetic regression line (PRL) method, and resistivity-temperature method (RTM), are evaluated. The results demonstrate that: (1) As a theoretical method, CLM is the most convenient but with the highest error, as an average water content error of 0.74%. (2) PRL requires four calibration points and has an average water content error of 0.28%. (3) RTM needs a special calibration curve and yields the smallest water content error of 0.07%. Overall, RTM with a pre-calibrated <em>λ</em> is recommended to obtain higher precision and PRL can be employed as a convenience choice.</p></div>\",\"PeriodicalId\":10522,\"journal\":{\"name\":\"Cold Regions Science and Technology\",\"volume\":\"226 \",\"pages\":\"Article 104255\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cold Regions Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165232X24001368\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cold Regions Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165232X24001368","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
摘要
未冻水含量是冻土中的一个关键问题。利用核磁共振(NMR)测量未冻水的方法已得到广泛应用。然而,从核磁共振数据中提取解冻水含量的方法仍缺乏全面的评估。为克服这一难题,本文提出了一种恒定解冻水试验(选取三种具有代表性的土壤,即淤泥质粘土、膨润土粘土和粉砂土),用于研究温度对核磁共振信号的影响。此外,还评估了居里定律法(CLM)、顺磁性回归线法(PRL)和电阻率-温度法(RTM)等三种提取未冻水含量的方法。结果表明(1) 作为一种理论方法,居里定律法最方便,但误差最大,平均含水量误差为 0.74%。(2) PRL 需要四个校准点,平均含水量误差为 0.28%。(3) RTM 需要一条特殊的校准曲线,含水率误差最小,为 0.07%。总之,建议使用预校准的 RTM,以获得更高的精度,而 PRL 可作为一种方便的选择。
Comparative study of unfrozen water content measurement principles and calculation methods based on NMR
Unfrozen water content is a key concern in frozen soil. The measurement of unfrozen water using nuclear magnetic resonance (NMR) has gained significant popularity. However, the extraction methods of unfrozen water content from NMR data are still lack of a comprehensive evaluation. To overcome this challenge, a constant unfrozen water test (three representative soils, i.e., silty clay, bentonite clay, and silt sand, are selected) is proposed and used to study on the influence of temperature on NMR signal. Further, three extraction methods of unfrozen water content, such as the Curie law method (CLM), paramagnetic regression line (PRL) method, and resistivity-temperature method (RTM), are evaluated. The results demonstrate that: (1) As a theoretical method, CLM is the most convenient but with the highest error, as an average water content error of 0.74%. (2) PRL requires four calibration points and has an average water content error of 0.28%. (3) RTM needs a special calibration curve and yields the smallest water content error of 0.07%. Overall, RTM with a pre-calibrated λ is recommended to obtain higher precision and PRL can be employed as a convenience choice.
期刊介绍:
Cold Regions Science and Technology is an international journal dealing with the science and technical problems of cold environments in both the polar regions and more temperate locations. It includes fundamental aspects of cryospheric sciences which have applications for cold regions problems as well as engineering topics which relate to the cryosphere.
Emphasis is given to applied science with broad coverage of the physical and mechanical aspects of ice (including glaciers and sea ice), snow and snow avalanches, ice-water systems, ice-bonded soils and permafrost.
Relevant aspects of Earth science, materials science, offshore and river ice engineering are also of primary interest. These include icing of ships and structures as well as trafficability in cold environments. Technological advances for cold regions in research, development, and engineering practice are relevant to the journal. Theoretical papers must include a detailed discussion of the potential application of the theory to address cold regions problems. The journal serves a wide range of specialists, providing a medium for interdisciplinary communication and a convenient source of reference.