Wenshao Xin , A.V. Petriaev , Jiankun Liu , Maria Chetina
{"title":"Experimental study on dynamic elastic modulus of thawing subgrade sandy loam soil under vibration load","authors":"Wenshao Xin , A.V. Petriaev , Jiankun Liu , Maria Chetina","doi":"10.1016/j.coldregions.2025.104688","DOIUrl":null,"url":null,"abstract":"<div><div>Railway construction in the Arctic sandy loam region of the Russian Federation is developing continuously. Due to global warming, permafrost degradation is inevitable. Thawing of permafrost will inevitably reduce the deformation resistance of the subgrade, affecting the safety of railway operation. The soil's dynamic elastic modulus (<em>E</em><sub><em>d</em></sub>) is the most important factor in studying the dynamic response of subgrade under train loads. Based on dynamic triaxial tests, the research deals with the change regularities in the <em>E</em><sub><em>d</em></sub> of thawing sandy loam soils under different conditions of temperature, water content, confining pressure and loading frequency. The regression function of the thawing sandy loam soil <em>E</em><sub><em>d</em></sub> under various single factors was constructed. Based on the correlation assessing rule, a multivariate linear regression function between thawing sandy loam soil <em>E</em><sub><em>d</em></sub> and multiple factors was established. The prediction error of this function ranges from −8.33 % to 7.14 %. The results show that water content has the greatest influence on the <em>E</em><sub><em>d</em></sub> of thawing sandy loam soil, and its influence weight coefficient is 51.07 %, followed by loading frequency, temperature and confining pressure. Based on Pearson correlation coefficient and Spearman rank correlation coefficient, it can be seen that temperature and water content are negatively correlated with the <em>E</em><sub><em>d</em></sub>, while confining pressure and loading frequency are positively correlated with the <em>E</em><sub><em>d</em></sub>. In general, the proposed prediction model can effectively solve the non-linear problem between the <em>E</em><sub><em>d</em></sub> of thawing sandy loam soil and the influencing factors, thus providing valuable support material for studying dynamic response of subgrades operating in permafrost areas during thawing period.</div></div>","PeriodicalId":10522,"journal":{"name":"Cold Regions Science and Technology","volume":"241 ","pages":"Article 104688"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-13","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/S0165232X2500271X","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
Railway construction in the Arctic sandy loam region of the Russian Federation is developing continuously. Due to global warming, permafrost degradation is inevitable. Thawing of permafrost will inevitably reduce the deformation resistance of the subgrade, affecting the safety of railway operation. The soil's dynamic elastic modulus (Ed) is the most important factor in studying the dynamic response of subgrade under train loads. Based on dynamic triaxial tests, the research deals with the change regularities in the Ed of thawing sandy loam soils under different conditions of temperature, water content, confining pressure and loading frequency. The regression function of the thawing sandy loam soil Ed under various single factors was constructed. Based on the correlation assessing rule, a multivariate linear regression function between thawing sandy loam soil Ed and multiple factors was established. The prediction error of this function ranges from −8.33 % to 7.14 %. The results show that water content has the greatest influence on the Ed of thawing sandy loam soil, and its influence weight coefficient is 51.07 %, followed by loading frequency, temperature and confining pressure. Based on Pearson correlation coefficient and Spearman rank correlation coefficient, it can be seen that temperature and water content are negatively correlated with the Ed, while confining pressure and loading frequency are positively correlated with the Ed. In general, the proposed prediction model can effectively solve the non-linear problem between the Ed of thawing sandy loam soil and the influencing factors, thus providing valuable support material for studying dynamic response of subgrades operating in permafrost areas during thawing period.
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.