Slope failures resulting from thaw slumps in permafrost regions, have developed widely under the influence of climate change and engineering activities. The shear strength at the interface between the active layer and permafrost (IBALP) at maximum thawing depth is a critical factor to evaluate stability of permafrost slopes. Traditional direct shear, triaxial shear, and large-scale in-situ shear experiments are unsuitable for measuring the shear strength parameter of the IBALP. Based on the characteristics of thaw slumps in permafrost regions, this study proposes a novel test method of self-weight direct shear instrument (SWDSI), and its principle, structure, measurement system and test steps are described in detail. The shear strength of the IBALP under maximum thaw depth conditions is measured using this method. The results show that under the condition that the permafrost layer is thick underground ice and the active layer consists of silty clay with 20% water content, the test results are in good agreement with the results of field large-scale direct shear tests and are in accordance with previous understandings and natural laws. The above analysis indicates that the method of the SWDSI has a reliable theoretical basis and reasonable experimental procedures, and meets the needs of stability assessment of thaw slumps in permafrost regions. The experimental data obtained provide important parameter support for the evaluation of related geological hazards.

Permafrost thawing is a critical climate tipping point, with catastrophic consequences. Existing stabilization methods rely on refrigerant-based systems, such as thermosyphons and active refrigeration, which are capital-intensive, energy-demanding, or increasingly ineffective in warming climates. Most infrastructure built on permafrost requires continuous heat removal from the foundation as the underlying permafrost becomes progressively unstable. To address these challenges, we demonstrate a fully biomass-derived cooling geotextile that can effectively mitigate permafrost thawing through scalable nanoprocessing via a roll-to-roll fabrication (1.3 mmin-1). The cooling geotextile features a hierarchical three-layer design: a strong woven biomass scaffold, a permeable nonwoven fiber network, and an optimized porous coating layer with micro- and nano-structures. When anchored to bare ground, it extracts heat to the cold sky, enhances albedo from similar to 30% to 96.3%, and establishes a thermal barrier between soil and air. Engineered for Arctic durability, it withstands strong winds, extreme cold, and freeze-thaw cycles, exceeding the American National Engineering Handbook requirements (tensile strength 1,682 kg; tear strength 191 kg; puncture strength 61 kg). Field tests in West Lafayette, IN (40 degrees 25 ' 21 '' N, 86 degrees 55 ' 12 '' W) reveal up to 25 degrees C soil cooling under 500 Wm-2 irradiance. Its lightweight (0.8 kgm-2) and rollable attributes enable scalable and fast localized deployment. Simulations predict up to 12 degrees C surface cooling during Arctic summer (2020-2050), preventing up to 40,000 km2 of permafrost from thawing. Completely derived from biomass, cooling geotextile ensures a low carbon footprint (0.7 kgm-2), positioning itself as a sustainable solution for reinforcing Arctic coastline, reconstructing thawing landscape, and restoring the environment.

Uneven displacement of permafrost has become a major concern in cold regions, particularly under repeated freezing-thawing cycles. This issue poses a significant geohazard, jeopardizing the safety of transportation infrastructure. Statistical analyses of thermal penetration suggest that the problem is likely to intensify as water erosion expands, with increasing occurrences of uneven displacement. To tackle the challenges related to mechanical behavior under cyclic loading, the New Geocell Soil System has been implemented to mitigate hydrothermal effects. Assessment results indicate that the New Geocell Soil System is stable and effective, offering advantages in controlling weak zones on connecting slopes and reducing uneven solar radiation. Consequently, the New Geocell Soil System provides valuable insights into the quality of embankments and ensures operational safety by maintaining displacement at an even level below 1.0 mm. The thermal gradient is positive, with displacement below 6 degrees C/m, serving as a framework for understanding the stability of the subgrade. This system also enhances stress and release the sealing phenomenon.

Thawing-triggered slope failures and landslides are becoming an increasing concern in cold regions due to the ongoing climate change. Predicting and understanding the behaviour of frozen soils under these changing conditions is therefore critical and has led to a growing interest in the research community. To address this challenge, we present the first mesh-free smoothed particle hydrodynamics (SPH) computational framework designed to handle the multi-phase and multi-physic coupled thermo-hydro-mechanical (THM) process in frozen soils, namely the THM-SPH computational framework. The frozen soil is considered a tri-phase mixture (i.e., soil, water and ice), whose governing equations are then established based on u-p-T formulations. A critical-state elasto-plastic Clay and Sand Model for Frozen soils (CASM-F), formulated in terms of solid-phase stress, is then introduced to describe the transition response and large deformation behaviour of frozen soils due to thawing action for the first time. Several numerical verifications and demonstrations highlight the usefulness of this advanced THM-SPH computational framework in addressing challenging problems involving thawing-induced large deformation and failures of slopes. The results indicate that our proposed single-layer, fully coupled THM-SPH model can predict the entire failure process of thawing-induced landslides, from the initiation to post-failure responses, capturing the complex interaction among multiple coupled phases. This represents a significant advancement in the numerical modelling of frozen soils and their thawing-induced failure mechanisms in cold regions.

The Arctic has been warming much faster than the global average, known as Arctic amplification. The active layer is seasonally frozen in winter and thaws in summer. In the 2017 Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign, airborne L- and P- band synthetic aperture radar (SAR) was used to acquire a dataset of active layer thickness (ALT) and vertical soil moisture profile, at 30 m resolution for 51 swaths across the ABoVE domain. Using a thawing degree day (TDD) model, ALT=K root TDD, we estimated ALT along the ABoVE swaths employing the 2-m air temperature from ERA5. The coefficient (K) calibrated has an R2=0.9783. We also obtained an excellent fit between ALT and K root(TDD/theta) where theta is the soil moisture from ERA5 (R2=0.9719). Output based on shared-social economic pathway (SSP) climate scenarios SSP 1-2.6, SSP 2-4.5, and SSP 5-8.5 from seven global climate models (GCMs), statistically downscaled to 25-km resolution, was used to project the impacts of climate warming on ALT. Assuming ALT=K root TDD, the projections of UKESM1-0-LL GCM resulted in the largest projected ALT, up to about 0.7 m in 2080s under SSP5-8.5. Given that the mean observed ALT of the study sites is about 0.482 m, this implies that ALT will increase by 0.074 to 0.217 m (15% and 45%) in 2080s. This will have substantial impacts on Arctic infrastructure. The projected settlement Iset (cm) of 1 to 7 cm will also impact the infrastructure, especially by differential settlement due to the high spatial variability of ALT and soil moisture, given at local scale the actual thawing will partly depend on thaw sensitivity of the material and potential thaw strain, which could vary widely from location to location.

The study of the ground surface temperature (GST) regimes from 2007 to 2021 at different stations on Livingston and Deception islands, South Shetland Islands, in the north-western sector of the Antarctic Peninsula (AP), shows that soils undergo similar cooling in early winter before a shallow snow mantle covers the sites. All monitoring sites along the study period go through seasonal phases of cooling, attenuation, insulation, fusion and zero curtain during winter, although thermal equilibrium is only reached at some stations located at lower elevations on Livingston Island. GST evolution at these stations and the duration of snow periods show oscillations, with turning points in the years 2014 and 2015, when temperatures were at their minimum and snow durations were at their maximum, in agreement with the cooling period occurring in the north-western AP in the early twenty-first century. The thermal regime is mainly controlled by snow cover and its onset and offset dates based only on descriptive patterns, not on statistical testing, more than by altitudinal, topographical, geological or geomorphological factors.

This paper introduces a thermo-hydro-mechanical (THM) framework to model thaw consolidation in permafrost regions. By integrating internal energy degradation functions and a modified Cam-Clay model within a phase-field damage framework, the model focuses on simulating the simultaneous effects of phase change and particle rearrangement. The model integrates two distinct phase-field variables with the modified Cam-Clay plasticity framework. One phase-field variable monitors pore phase composition, while the other captures particle rearrangement. These variables are directly coupled to the constitutive model, providing critical data for updating the stress-strain relationship by accounting for particle rearrangement-induced softening and hardening effects due to volumetric deformation. The model converges to the modified Cam-Clay model when there is no phase change. This approach addresses a significant gap in existing models by capturing the associated microstructural evolution and plastic softening in thaw-sensitive soils. Validation efforts focus on experimental scenarios assessing both the mechanical impacts of thaw consolidation and the dynamics of phase transitions, particularly emphasizing latent heat effects. The results demonstrate the proposing model's capability of handling complex behaviors of permafrost under thaw conditions, confirming its potential for enhancing infrastructure resilience in cold regions.

The physicochemical combination method (PCCM) is a new integrated method for treating and reusing large volumes of slurry-like mud (MS). To study the effects of freezing-thawing (FT) cycles on the mechanical properties of MS treated by the PCCM, unconfined compression tests (UCTs) and microstructural tests are both conducted on PCCM-treated MS samples with different combinations of FT cycles, initial water contents (wei), and cementitious binder contents (wc). The experimental results indicate that the unconfined compressive strength (UCS) and the elastic modulus (E) of PCCM-treated MS decrease exponentially when the FT cycles increase from 0 to 15. For the PCCM-treated MS samples subjected to 15 FT cycles, the reduction degree of their strength, as well as deformation resistance, is more sensitive to the variation of wc compared to that of wei. Meanwhile, the UCS and E of PCCM-treated MS samples are higher than those of the corresponding MS samples treated by the conventional cement solidification method (CCSM). The superior resistance to FT cycles of PCCM-treated MS is attributed to the presence of APAM, which not only facilitates the aggregation of soil particles but also enhances the dewatering efficiency of MS. Notably, the E/UCS value of CCSM-treated MS is 1.25 times larger than that of PCCM-treated MS, indicating the application of PCCM can significantly enhance the toughness of the treated MS.

Geohazards such as slope failures and retaining wall collapses have been observed during thawing season, typically in early spring. These geohazards are often attributed to changes in the engineering properties of soil through changes in soil phase with moisture condition. This study investigates the impact of freezing and thawing on soil stiffness by addressing shear wave velocity (Vs) and compressional wave velocity (Vp). An experimental testing program with a temperature control system for freezing and thawing was prepared, and a series of bender and piezo disk element tests were conducted. The changes in Vs and Vp were evaluated across different phases: unfrozen to frozen; frozen to thawed; and unfrozen to thawed. Results indicated different patterns of changes in Vs and Vp during these transitions. Vs showed an 8% to 19% decrease for fully saturated soil after thawing, suggesting higher vulnerability to shear failure-related geohazards in thawing condition. Vp showed no notable change after thawing compared to initial unfrozen condition. Based on the test results in this study, correlation models for Vs and Vp with changes in soil phase of unfrozen, frozen, and thawed conditions were established. From computed tomography (CT) image analysis, it was shown that the decrease in Vs was attributed to changes in bulk volume and microscopic soil structure.

Roads in places with seasonal frost undergo several freeze-thaw (F-T) cycles annually, resulting in variable degrees of deterioration in the mechanical properties of the subgrade. To methodically investigate the mechanical properties of subgrade clay during freeze-thaw cycles and to develop a precise constitutive model, triaxial tests were conducted under the most unfavorable soil conditions. The studies indicate that the degrading impact of the freeze-thaw cycle on the mechanical characteristics of the soil predominantly transpires during the initial freeze-thaw cycle. Soil strength reaches its minimum after the third freeze-thaw cycle, followed by a slight increase, and ultimately stabilizes between the fifth and seventh cycles. The maximum strength reduction at confining pressures of 100 kPa, 200 kPa, and 300 kPa was 39%, 37%, and 33%, respectively. As confining pressure escalates, the reduction in soil strength lessens. The soil demonstrates differing degrees of degradation following F-T cycles at both high and low compaction levels, with the degradation becoming increasingly evident as compaction intensifies. Utilizing the experimental database, a genetic algorithm (GA) enhanced backpropagation neural network (BPNN) model (GA-BPNN) and a BP-aided Duncan-Chang (D-C) model were developed to forecast the mechanical properties of freeze-thaw clay. The R2 values for the two models on the test set were 0.995 and 0.967, respectively. The efficacy of these two models demonstrates that machine learning can attain commendable outcomes in extensive data structures (total stress-strain curve) as well as exhibit superior performance in limited data (model parameters) while developing the constitutive model of soil.