{"title":"Comparative evaluation of the methods of assessing frost heave susceptibility","authors":"Haosong He, Jidong Teng, Shengwei Zhao, Wei Guan, Sheng Zhang","doi":"10.1016/j.coldregions.2024.104406","DOIUrl":null,"url":null,"abstract":"<div><div>Frost heave susceptibility (FHS) is a criterion to quantify the potential of soil to produce frost heave, which is widely applied in infrastructure construction in cold regions. Although more than 100 methods have been proposed to assess FHS, there are large discrepancies between the predicted and observed FHS, and their performance has not been systematically compared. Hence, this study summarizes the definitions, classifications, testing methods, advantages, and disadvantages of seven commonly used methods based on the following indices, i.e., fine content (<span><span>USACE, 1984</span></span>), segregation potential SP (<span><span>Konrad, 1980</span></span>), the <em>R</em> index (<span><span>Teng et al., 2023</span></span>), frost heave rate (<span><span>ASTM D5918, 2013</span></span>), frost heave ratio (<span><span>GB-50324, 2014</span></span>), frost heave (<span><span>Roe and Webster, 1984</span></span>), and frost heave slope <em>p</em> (<span><span>NF P98–234-2, 1996</span></span>). Comparative analysis of these methods shows that each method has its own applicable conditions. The key is to choose an appropriate method to assess FHS according to the specific conditions. Frost heave rate, frost heave, frost heave slope <em>p</em>, and the <em>R</em> are suitable for evaluating macroscopic frost heave. Segregation potential effectively describes the water flow velocity at the frozen fringe. Frost heave ratio characterizes both frost heave and frost depth. At the engineering scale, the fine content method offers significant advantages. Further analyses indicate that the <em>R</em> and <em>p</em> indices are the stable methods. Frost heave and frost heave ratio increase over time, while segregation potential and frost heave rate generally exhibit a decreasing trend. Methods with similar dimensions exhibit strong linear relationships between them, while those with different dimensions lack substantial relationships, making the comparison challenging. This paper may provide a reference for selecting a method to assess FHS.</div></div>","PeriodicalId":10522,"journal":{"name":"Cold Regions Science and Technology","volume":"231 ","pages":"Article 104406"},"PeriodicalIF":3.8000,"publicationDate":"2024-12-24","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/S0165232X24002878","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
Abstract
Frost heave susceptibility (FHS) is a criterion to quantify the potential of soil to produce frost heave, which is widely applied in infrastructure construction in cold regions. Although more than 100 methods have been proposed to assess FHS, there are large discrepancies between the predicted and observed FHS, and their performance has not been systematically compared. Hence, this study summarizes the definitions, classifications, testing methods, advantages, and disadvantages of seven commonly used methods based on the following indices, i.e., fine content (USACE, 1984), segregation potential SP (Konrad, 1980), the R index (Teng et al., 2023), frost heave rate (ASTM D5918, 2013), frost heave ratio (GB-50324, 2014), frost heave (Roe and Webster, 1984), and frost heave slope p (NF P98–234-2, 1996). Comparative analysis of these methods shows that each method has its own applicable conditions. The key is to choose an appropriate method to assess FHS according to the specific conditions. Frost heave rate, frost heave, frost heave slope p, and the R are suitable for evaluating macroscopic frost heave. Segregation potential effectively describes the water flow velocity at the frozen fringe. Frost heave ratio characterizes both frost heave and frost depth. At the engineering scale, the fine content method offers significant advantages. Further analyses indicate that the R and p indices are the stable methods. Frost heave and frost heave ratio increase over time, while segregation potential and frost heave rate generally exhibit a decreasing trend. Methods with similar dimensions exhibit strong linear relationships between them, while those with different dimensions lack substantial relationships, making the comparison challenging. This paper may provide a reference for selecting a method to assess FHS.
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.