Combination of the unifying model for the effective thermal conductivity of isotropic, porous and composite geomaterials DOI
Zhaoxiang Chu

International Journal of Rock Mechanics and Mining Sciences, Journal Year: 2023, Volume and Issue: 164, P. 105342 - 105342

Published: Feb. 16, 2023

Language: Английский

Numerical and experimental studies on the cooling performance of backfill containing phase change materials DOI
Mei Wang, Peng Liu,

Shiyue Shang

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 218, P. 109155 - 109155

Published: May 2, 2022

Language: Английский

Citations

29
A hyperbolic model for the thermal conductivity of freezing soils DOI Creative Commons
Jun Bi,

Zhijian Wu,

Wang Cao

et al.

Geoderma, Journal Year: 2023, Volume and Issue: 436, P. 116507 - 116507

Published: May 26, 2023

Thermal conductivity is a key parameter characterizing heat and water transfer in soils. It difficult to measure thermal under freezing conditions. For this reason, some models have been proposed estimate the of soils, but most them failed mimic variation with temperature. In study, hyperbolic model three parameters (λ(0°C), α β) was relationship between subzero The λ(0°C), β were estimated via artificial neural networks. performance new 5 widely used evaluated measured conductivities. results show that accurately estimates soils during process. addition, performs best among 6 models, as indicated by RMSE (0.105 Wm−1K−1). mimics temperature can be incorporated into numerical algorithms for coupled mass cold regions.

Language: Английский

Citations

21
Prediction of the thermal conductivity of freezing soils using the soil freezing characteristic curve DOI
Jun Bi,

Guiyu Zhao,

Zhenyu Liu

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2023, Volume and Issue: 149, P. 107078 - 107078

Published: Oct. 17, 2023

Language: Английский

Citations

18
Machine learning facilitates connections between soil thermal conductivity, soil water content, and soil matric potential DOI
Xiangwei Wang,

Yanchen Gao,

Jiagui Hou

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 633, P. 130950 - 130950

Published: Feb. 28, 2024

Language: Английский

Citations

8
State of the Art of Coupled Thermo–hydro-Mechanical–Chemical Modelling for Frozen Soils DOI Creative Commons

K.K. Li,

Zhen‐Yu Yin

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Numerous studies have investigated the coupled multi-field processes in frozen soils, focusing on variation soils and addressing influences of climate change, hydrological processes, ecosystems cold regions. The investigation multi-physics field has emerged as a prominent research area, leading to significant advancements coupling models simulation solvers. However, substantial differences remain among various due insufficient observations in-depth understanding processes. Therefore, this study comprehensively reviews latest process numerical methods, including thermo-hydraulic (TH) coupling, thermo-mechanical (TM) hydro-mechanical (HM) thermo–hydro-mechanical (THM) thermo–hydro-chemical (THC) thermo–hydro-mechanical–chemical (THMC) coupling. Furthermore, primary methods are summarised, continuum mechanics method, discrete or discontinuous simulators specifically designed for heat mass transfer modelling. Finally, outlines critical findings proposes future directions multi-physical modelling soils. This provides theoretical basis mechanism analyses practical engineering applications, contributing advancement management

Language: Английский

Citations

8
Non-local modelling of freezing and thawing of unsaturated soils DOI Creative Commons
Petr Nikolaev, Andrey P. Jivkov, Lee Margetts

et al.

Advances in Water Resources, Journal Year: 2024, Volume and Issue: 184, P. 104614 - 104614

Published: Jan. 5, 2024

A large part of the earth's surface is covered by seasonally or permanently frozen soils. Considering negative impact climate change, future development such regions can be underpinned mathematical methods for accurate analysis heat and moisture transport in freezing thawing Reported this paper a novel non-local formulation water unsaturated The uses bond-based peridynamics (PD) consists set integral-difference formulations energy mass conservation. Specific features freezing/thawing soils are incorporated combination van Genuthcen Clausius-Clapeyron relations. Computational results compared with four sets laboratory experiments to demonstrate efficiency developed approach. model used analyse effect flow on transfer during permafrost Further, it applied modelling change effects, construction coupled physically justified models frost heave.

Language: Английский

Citations

6
A thermal conductivity model for granular geomaterials with low porosity during the freezing process DOI
Jun Bi, Yuxuan Pan, Sheng Qiang Yang

et al.

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 233, P. 126050 - 126050

Published: Aug. 14, 2024

Language: Английский

Citations

6
Modeling thermal conductivity of clays: A review and evaluation of 28 predictive models DOI

Lanmin Liu,

Hailong He, Miles Dyck

et al.

Engineering Geology, Journal Year: 2021, Volume and Issue: 288, P. 106107 - 106107

Published: April 2, 2021

Language: Английский

Citations

38
Water and heat coupling processes and its simulation in frozen soils: Current status and future research directions DOI
Guojie Hu, Lin Zhao, Ren Li

et al.

CATENA, Journal Year: 2022, Volume and Issue: 222, P. 106844 - 106844

Published: Dec. 21, 2022

Language: Английский

Citations

27
An analytical model for the thermal conductivity of soils during a freezing process DOI
Jun Bi,

Zhijian Wu,

Yingmin Zhang

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2022, Volume and Issue: 140, P. 106540 - 106540

Published: Dec. 7, 2022

Language: Английский

Citations

26