Predicting soil thermal properties in freeze-thaw cycles using EFAttNet: A comparative analysis

dc.contributor.authorWang, Pengcheng
dc.contributor.authorFirat, Muge Elif
dc.contributor.authorLin, Yi
dc.contributor.authorWang, Tengfei
dc.date.accessioned2026-08-12T17:39:04Z
dc.date.issued2024
dc.departmentFırat Üniversitesi
dc.description.abstractThis study investigates the thermal conductivity (lambda) and volumetric heat capacity (C) of sandy soil samples under a variety of conditions, including freeze-thaw cycles at temperatures both above and below zero and differing moisture levels. To estimate these thermal properties, a novel predictive model, EFAttNet, was developed, which utilizes custom-designed embedding and attention-based fusion networks. When compared to traditional de Vries empirical models and other baseline algorithms, EFAttNet demonstrated superior accuracy. Preliminary measurements showed that lambda values increased linearly with moisture content but decreased with temperature, whereas C values exhibited a rising trend with both moisture content and freezing temperature. Following freeze-thaw cycles, both lambda and C were positively influenced by moisture content and freezing temperature. The EFAttNet-based model proved highly accurate in predicting thermal properties, particularly effective at capturing nonlinear relationships among the influencing factors. Among these factors, the degree of saturation had the most significant impact, followed by the number of freeze-thaw cycles, subzero temperatures, porosity, and moisture content. Notably, dry density exerted minimal influence on thermal properties, likely due to the overriding effects of other factors or specific soil characteristics, such as particle size distribution or mineralogical composition. These findings have significant implications for construction and engineering projects, especially in terms of sustainability and energy efficiency. The demonstrated accuracy of the EFAttNet-based model in estimating thermal properties under various conditions holds promise for practical applications. Although focused on specific soil types and conditions, the insights gained can guide further research and development in managing soil thermal properties across diverse environments, thereby enhancing our understanding and application in this field.
dc.description.sponsorshipNational Natural Science Foundation of China [62371323]; Natural Science Foundation of Sichuan Province [2023NSFSC0391]; Overseas Expertise Introduction Project for Discipline Innovation [B21011]; Science Foundation of China Academy of Railway Sciences Corporation Limited [2023YJ222]; Open Research Fund 2021 of the MOE Key Laboratory of High-speed Railway Engineering, Southwest Jiaotong University
dc.description.sponsorshipThis study was supported by the National Natural Science Foundation of China (62371323), the Natural Science Foundation of Sichuan Province (2023NSFSC0391), the Overseas Expertise Introduction Project for Discipline Innovation (B21011), the Science Foundation of China Academy of Railway Sciences Corporation Limited (2023YJ222), and the Open Research Fund 2021 of the MOE Key Laboratory of High-speed Railway Engineering, Southwest Jiaotong University.
dc.identifier.doi10.1371/journal.pone.0305529
dc.identifier.issn1932-6203
dc.identifier.issue7
dc.identifier.orcid0000-0003-4079-0687
dc.identifier.orcid0000-0002-5391-5859
dc.identifier.pmid38995974
dc.identifier.scopus2-s2.0-85198573324
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0305529
dc.identifier.urihttps://hdl.handle.net/11508/58680
dc.identifier.volume19
dc.identifier.wosWOS:001267555600009
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherPublic Library Science
dc.relation.ispartofPlos One
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectUnfrozen Water
dc.subjectFrozen Soil
dc.subjectConductivity
dc.subjectPerformance
dc.subjectSandy
dc.titlePredicting soil thermal properties in freeze-thaw cycles using EFAttNet: A comparative analysis
dc.typeArticle

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