Liangfu Xie

Dr. Liangfu Xie


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 October 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HYHaoyuan Yang
Haoyuan Yang
BLBingbing Lei
Bingbing Lei
Liangfu XieLiangfu Xie
Liangfu Xie
CHChangtao Hu
Changtao Hu
JLJie Liu
Jie Liu
Understanding multiphase transformations and the migration of heat, water, vapor, and salt in coarse-grained saline soil under groundwater recharge and environmental freeze—thaw cycles is crucial for ensuring the stability of highway infrastructures. To clarify the water, heat, vapor, and salt migration patterns in coarse-grained saline soil, as well as the salt-insulating effect of the aggregate insulating layer, an experimental study was conducted in a soil column model under pressureless water replenishment with fluorescein-labeled liquid water under freeze—thaw cycles. The results showed that the temperature in the saline soil columns periodically changed and that hysteresis effects occurred during temperature transfer. External water replenishment and the content of liquid water inside the soil exhibited nonlinear changes with environmental temperatures. After multiple freeze—thaw cycles, two water and salt accumulation zones formed within the coarse-grained saline soil subgrade. The migration of liquid water resulted in a water and salt accumulation zone in the nonfrozen zone, whereas the migration of water vapor yielded a water and salt accumulation zone in the frozen zone. To prevent water and salt migration, a 20 cm thick gravel insulating layer could be laid at a distance of 10 cm from the bottom of the roadbed, which could provide a satisfactory salt-insulating effect. The research results provide a theoretical basis and guidance for regulating the stability of subgrades in saline soil areas.

6 April 2026 in Geotechnical and Geological Engineering
Verified
Journal Article
Closed access
PDF file
ZGZiqi Guo
Ziqi Guo
ZWZuyan Wang
Zuyan Wang
Liangfu XieLiangfu Xie
Liangfu Xie
JQJiangu Qian
Jiangu Qian
YXYan Xu
Yan Xu

24 October 2025 in Applied Sciences
Verified
Journal Article
Open access
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XLXuejun LIU
Xuejun LIU
SWShuo Wang
Shuo Wang
WMWei Mao
Wei Mao
PSPeng Shao
Peng Shao
RMRuheiyan Muhemaier
Ruheiyan Muhemaier
Liangfu XieLiangfu Xie
Liangfu Xie
Heavy rainfall infiltration is a key disaster-inducing factor that triggers the softening of surrounding rock and deformation of support structures in tuff gully tunnels. Based on the gully section of the left line of the Dabao Tunnel of the Leigongshan–Rongjiang Expressway in Guizhou Province, this study systematically reveals the synergistic disaster-inducing mechanism of “topography-seepage-softening” in tuff gully tunnels under heavy rainfall infiltration through laboratory tests and FLAC3D 3D numerical simulations. The main innovative conclusions are as follows: (1) The “phased” attenuation law of tuff mechanical parameters was quantified, and the critical water content for significant strength deterioration was determined to be 2.5%, with a saturated softening coefficient of 0.59. These results provide key data for early warning and evaluation of similar projects. (2) A “convergence-disorder” distribution pattern of pore water pressure controlled by gully topography was revealed. It was found that the rock mass directly below the aqueduct exhibits a disordered zone with downward-extending pore water pressure due to fluid convergence, with the maximum pore water pressure reaching 0.55 MPa. This clarifies the essence that tunnel stability is controlled by the coupling of topography and seepage field. (3) The key sensitive areas for tunnel stability—namely the gully bottom, arch haunches, and the area below the aqueduct—were accurately identified. The significant increase in displacement of these areas after rock stratum softening was quantified (e.g., the displacement at the crown of the secondary lining increased from 3 mm to 4 mm, and the influence range expanded to the arch haunches). This study clarifies the deformation characteristics and instability mechanism of tuff gully tunnels under heavy rainfall from two aspects: the “internal mechanism of rock mass softening” and the “external condition of topographic seepage control.” It can provide a theoretical basis and key technical pathway for disaster prevention and control as well as stability design of similar tunnels.

2 July 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
SWShuo Wang
Shuo Wang
WMWei Mao
Wei Mao
XLXuejun LIU
Xuejun LIU
RMRuheiyan Muhemaier
Ruheiyan Muhemaier
LJLi Yan Jun
Li Yan Jun
Liangfu XieLiangfu Xie
Liangfu Xie
The cumulative displacement of landslides in alpine regions is jointly affected by rainfall, temperature variation, freeze–thaw cycles, and other factors, and usually exhibits nonlinear, non-stationary, and multi-scale fluctuation characteristics. To improve the accuracy of landslide displacement prediction under complex environmental conditions, this study takes the Taker Tubek Village landslide in Gongliu County, Xinjiang, China, as the study object. Cumulative displacement data from GNSS02 and GNSS03, together with daily rainfall and daily mean temperature, were used to construct a SOO-VMD-CNN-TimeXer hybrid prediction model. First, SOO was employed to adaptively optimize the VMD parameters, and the cumulative displacement series were decomposed into multiple IMF components. Then, CNN was used to extract local fluctuation features, while TimeXer was applied to model long-term temporal dependencies and the effects of exogenous variables. Finally, the predicted results of all components were reconstructed to obtain the cumulative displacement prediction. The results show that the proposed model achieved high prediction accuracy at both GNSS02 and GNSS03. The MSE, MAE, MAPE, and R2 values were 0.0158, 0.0960, 0.0112, and 0.9464 for GNSS02, and 0.0483, 0.1590, 0.0203, and 0.9946 for GNSS03, respectively, outperforming LSTM, Informer, iTransformer, Crossformer, and other models. The results indicate that the SOO-VMD-CNN-TimeXer model can effectively characterize the cumulative displacement evolution of landslides in alpine regions and provide technical support for landslide deformation trend forecasting and disaster early warning.

9 October 2026 in Scientific Reports
Verified
Journal Article
Open access
PDF file
CWCungen Wang
Cungen Wang
JLJiayi Liu
Jiayi Liu
SHShupeng He
Shupeng He
Liangfu XieLiangfu Xie
Liangfu Xie
HLHuan Liu
Huan Liu
To elucidate the coupled effects of water content and fracture inclination on crack propagation and failure evolution in single-fractured red sandstone under freeze–thaw conditions in cold regions, freeze–thaw cycling–uniaxial compression tests were conducted on specimens with varying water contents and fracture inclinations. The analysis integrates full-field strain monitoring using particle image velocimetry (PIV), microstructural characterization via scanning electron microscopy (SEM), and the Sneddon elastic solution. The results demonstrate that increasing water content generally reduces the peak strength, elastic modulus, and residual load-bearing capacity of the rock, although the magnitude of degradation varies with fracture inclination, while promoting a transition in failure mode from brittle to ductile. Among all cases, specimens with a fracture inclination of 45° exhibit the highest water sensitivity, with an average reduction in peak strength of 38.2%. PIV results indicate that the deformation of fractured rock evolves from localized stress concentration to distributed damage propagation. SEM observations reveal that freeze–thaw cycling coupled with high water content promotes pore expansion, cementation degradation, and microcrack connectivity. Theoretical analysis further indicates that fracture inclination governs the direction of crack propagation, whereas water content modifies the internal stress field within fractures through ice-induced expansion pressure. When the water content exceeds approximately 50%, the crack propagation angle tends to stabilize. This study establishes a cross-scale correlation of damage evolution in single-fractured rock under freeze–thaw action, providing a theoretical basis for rock mass stability evaluation and engineering disaster prevention design in cold regions.

12 April 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HLHuan Liu
Huan Liu
KLKang Li
Kang Li
Liangfu XieLiangfu Xie
Liangfu Xie
XLXuejun LIU
Xuejun LIU
SWshuhong wang
shuhong wang
Fracture roughness is critical to fluid flow behavior in fractured rock masses. However, the mechanism by which such roughness heterogeneity influences fluid flow and amplifies cubic law deviation remains incompletely understood. Current theoretical analyses are focused on uniform roughness or smooth parallel plates, neglecting the roughness heterogeneity in natural fractures. The equivalent fracture geometry models with heterogeneous roughness are established based on the fracture walls of the smooth parallel plates and the sinusoidal profiles in this study. Based on the geometry models and derived from the Navier–Stokes equations, two simplified fracture models are proposed: the equivalent plate–sinusoidal walled and the sinusoidal–sinusoidal walled fracture model, validated via COMSOL Multiphysics. A roughness heterogeneity index Zr is defined to quantify the roughness heterogeneity. The influence of roughness heterogeneity on hydraulic behavior (e.g., fluid flow rate, equivalent hydraulic aperture) is analyzed and compared with those of uniform roughness and smooth parallel plates. Additionally, the influence of roughness heterogeneity on the power–law exponent relationship between fracture mechanical aperture and flow rate is examined. The results indicate that the flow rate and hydraulic aperture decrease with increasing roughness heterogeneity, while the deviation of fluid flow from the cubic law increases. The power–law exponent can be as high as 15.5. This study provides theoretical models for understanding the effects of roughness heterogeneity and a reference for extending flow models to complex fracture morphologies.