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DOI	10.1002/nag.3356
	An algorithmic framework for computational estimation of soil freezing characteristic curves
	Kebria, Mahyar Malekzade; Na, Seon Hong; Yu, Fan
通讯作者	Na, SH (通讯作者)，McMaster Univ, Dept Civil Engn, 1280 Main St West, Hamilton, ON L8S 3L8, Canada.
发表日期	2020
ISSN	0363-9061
EISSN	1096-9853
英文摘要	Many numerical models for simulating freezing and thawing phenomena of soil have been developed due to emerging geotechnical issues in cold regions. In particular, coupled thermo-hydro-mechanical (THM) analysis is used to evaluate complicated deformation, thermal, and moisture transport behavior of freezing-thawing soils. This study proposes a soil-freezing characteristic curve (SFCC) that is robust and adaptive with various computational frameworks, including the THM approach. The proposed SFCC can also account for different soil types by incorporating the particle size distribution. Here an automatic regression scheme is adopted to update the SFCC associated with deformation and thermal changes. In addition, a smoothing algorithm is adopted to prevent a sharp change of the SFCC due to phase transition between the liquid water and crystal ice. Based on experimental works in the literature, the applicability of our model is demonstrated when the initial water contents and soil particle distribution differ. We further investigate the performance of the proposed SFCC as a constitutive model within a simplified THM framework. Our results show that the proposed model captures the desired behavior of different soil types in the freezing process, such as freezing temperature depreciation, the effect of compaction, and mechanical loading on unfrozen water content.
关键词	PARTICLE-SIZE DISTRIBUTION UNFROZEN WATER-CONTENT HEAT-TRANSPORT POROUS-MEDIA PHASE-CHANGE FROZEN SOIL FROST HEAVE MODEL PREDICT ENERGY
英文关键词	automatic regression; computational model; frozen soil; soil-freezing characteristic function; smoothing function; unfrozen water content
语种	英语
WOS研究方向	Engineering ; Materials Science ; Mechanics
WOS类目	Engineering, Geological ; Materials Science, Multidisciplinary ; Mechanics
WOS记录号	WOS:000765045600001
来源期刊	INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254754
作者单位	[Kebria, Mahyar Malekzade; Na, Seon Hong] McMaster Univ, Dept Civil Engn, 1280 Main St West, Hamilton, ON L8S 3L8, Canada; [Yu, Fan] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Kebria, Mahyar Malekzade,Na, Seon Hong,Yu, Fan. An algorithmic framework for computational estimation of soil freezing characteristic curves[J]. 中国科学院西北生态环境资源研究院,2020.
APA	Kebria, Mahyar Malekzade,Na, Seon Hong,&Yu, Fan.(2020).An algorithmic framework for computational estimation of soil freezing characteristic curves.INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS.
MLA	Kebria, Mahyar Malekzade,et al."An algorithmic framework for computational estimation of soil freezing characteristic curves".INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2020).