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2022 Fiscal Year Final Research Report

Study on heat-water-stress coupled model of soils considering hysteresis of unfrozen water due to freezing and thawing

Research Project

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Project/Area Number 20K04681
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 22030:Geotechnical engineering-related
Research InstitutionResearch Institute of Shimizu Construction Co. (2021-2022)
Nagaoka University of Technology (2020)

Principal Investigator

Chen Jian  清水建設株式会社技術研究所, その他部局等, 研究員 (30556668)

Co-Investigator(Kenkyū-buntansha) 杉本 光隆  長岡技術科学大学, 工学研究科, 教授 (50196755)
豊田 浩史  長岡技術科学大学, 工学研究科, 教授 (90272864)
Project Period (FY) 2020-04-01 – 2023-03-31
Keywords連成解析 / 土壌凍結特性曲線 / 水遷移 / パラメータ同定 / 不凍水分量
Outline of Final Research Achievements

The hysteresis phenomenon of the unfrozen water content occurs because the ice content and hydraulic conductivity change greatly due to the freezing-thawing process of soils. It is necessary to develop a heat-water-stress coupled analysis model that can consider such a complicated moisture history.
Based on the porous media theory, this study considers the phase transition characteristics of ice and water in soils, which have been clarified by nuclear magnetic resonance experiments. The phase transition characteristics were represented as soil freezing characteristic curve into the proposed model. A more versatile heat-water-stress coupled model was constructed.In addition, soil column freezing experiments with and without water supplying were conducted. The experimental and the simulated results of temperature, water content, and frost heave were compared to verify the proposed model. The effects of moisture, heat transfer and deformation properties during freezing were clarified.

Free Research Field

地盤工学

Academic Significance and Societal Importance of the Research Achievements

本研究では,複雑な水分履歴を考慮できる熱-水-応力連成解析モデルの構築と検証を目的として,主に理論モデルの定式化,土のカラム凍結実験および連成解析結果の検証,を実施した.
本研究結果は,より実現象を反映する連成モデルの構築を実現するもので,自然地盤の凍上や人工凍結工法による地盤変形に関する予測精度の向上,ひいては,地盤災害の軽減に寄与すると考えられる.

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Published: 2024-01-30  

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