Predicting soil thermal properties in freeze-thaw cycles using EFAttNet: A comparative analysis DOI Creative Commons
Pengcheng Wang, Müge Elif ORAKOĞLU FIRAT,

Yi Lin

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(7), P. e0305529 - e0305529

Published: July 12, 2024

This study investigates the thermal conductivity ( λ ) and volumetric heat capacity C of sandy soil samples under a variety conditions, including freeze-thaw cycles at temperatures both above below zero differing moisture levels. To estimate these properties, novel predictive model, EFAttNet , was developed, which utilizes custom-designed embedding attention-based fusion networks. When compared to traditional de Vries empirical models other baseline algorithms, demonstrated superior accuracy. Preliminary measurements showed that values increased linearly with content but decreased temperature, whereas exhibited rising trend freezing temperature. Following cycles, were positively influenced by The -based model proved highly accurate in predicting particularly effective capturing nonlinear relationships among influencing factors. Among factors, degree saturation had most significant impact, followed number subzero temperatures, porosity, content. Notably, dry density exerted minimal influence on likely due overriding effects factors or specific characteristics, such as particle size distribution mineralogical composition. These findings have implications for construction engineering projects, especially terms sustainability energy efficiency. accuracy estimating properties various conditions holds promise practical applications. Although focused types insights gained can guide further research development managing across diverse environments, thereby enhancing our understanding application this field.

Language: Английский

Correlation Characterization Method for Thermal Parameters of Frozen Soil Under Incomplete Probability Information DOI Open Access
Jiazeng Cao, Tao Wang,

Yonglin Feng

et al.

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

ABSTRACT In the construction process of artificial ground freezing (AGF), utilization temperature field to determine time is crucial for safe construction. While thermal parameter core calculation. How obtain joint probability distribution parameters frozen soil under limited test data essential improve accuracy stochastic and guide this study, based on sample in Mengtie railway station Anhui metro line, statistical characteristics conductivity, volumetric heat capacity, conductivity at various temperatures were obtained. Then multidimensional Gaussian copula models different constructed using three methods characterize correlations among parameters. Additionally, correlation coefficients simulated Monte Carlo simulation (MCS) fitting errors calculated. Finally, Sobol indices calculated by a simple one‐dimensional conduction model. The results show that have obvious variability temperatures. Pearson method presents most favorable capability model variables. error smallest when coefficient are identical. significant differences, with Kendall exhibiting higher sensitivity nonlinearity

Language: Английский

Citations

0
Numerical modelling and mechanism of water-heat-deformation of subgrade under heating effect in cold regions DOI
Wenqiang Zhang,

Zhi Wen,

Dan Wang

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 164, P. 108911 - 108911

Published: March 30, 2025

Language: Английский

Citations

0
Mesoscopic scale model for predicting thermal conductivity of aeolian sand-rock-layer mixed medium in cold regions DOI
Fenglei Han, Guo Li, Cheng Lü

et al.

International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 247, P. 127093 - 127093

Published: April 21, 2025

Language: Английский

Citations

0
Predicting soil thermal properties in freeze-thaw cycles using EFAttNet: A comparative analysis DOI Creative Commons
Pengcheng Wang, Müge Elif ORAKOĞLU FIRAT,

Yi Lin

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(7), P. e0305529 - e0305529

Published: July 12, 2024

This study investigates the thermal conductivity ( λ ) and volumetric heat capacity C of sandy soil samples under a variety conditions, including freeze-thaw cycles at temperatures both above below zero differing moisture levels. To estimate these properties, novel predictive model, EFAttNet , was developed, which utilizes custom-designed embedding attention-based fusion networks. When compared to traditional de Vries empirical models other baseline algorithms, demonstrated superior accuracy. Preliminary measurements showed that values increased linearly with content but decreased temperature, whereas exhibited rising trend freezing temperature. Following cycles, were positively influenced by The -based model proved highly accurate in predicting particularly effective capturing nonlinear relationships among influencing factors. Among factors, degree saturation had most significant impact, followed number subzero temperatures, porosity, content. Notably, dry density exerted minimal influence on likely due overriding effects factors or specific characteristics, such as particle size distribution mineralogical composition. These findings have implications for construction engineering projects, especially terms sustainability energy efficiency. accuracy estimating properties various conditions holds promise practical applications. Although focused types insights gained can guide further research development managing across diverse environments, thereby enhancing our understanding application this field.

Language: Английский

Citations

0