Stress-induced anisotropy, the directional variation in soil properties under applied loads, significantly influences the soil behavior and stability of geotechnical structures. This review critically examines its impact on shear strength, pore pressure, stiffness, and stress-strain behavior of soils, offering insights into its fundamental mechanisms. Advancements in experimental methods, including bender element tests, true-triaxial testing, and hollow cylinder apparatus, are critically analyzed alongside analytical and numerical models that capture complex anisotropic responses under varied loading conditions. The study highlights the practical significance of incorporating the anisotropic behavior of soils in geotechnical design. From the literature, it can be concluded that neglecting stress-induced anisotropy can overestimate the factor of safety (FOS) of slopes up to 33% and underestimate displacements of foundations by 25-40%, leading to critical inaccuracies in the design. A case study of slope failure under anisotropic stress highlights the necessity of accounting for these effects. Challenges such as replicating realistic stress paths in laboratory tests and integrating anisotropic parameters in numerical frameworks are identified. Future directions include developing predictive models, automating analysis using machine learning, and validating findings through large-scale field studies. This review bridges theoretical advancements with practical applications, advocating for integrating stress-induced anisotropy, wherever applicable, into geotechnical practice to enhance infrastructure safety and resilience.

Glass-reinforced plastic (GRP) subsea protection covers are widely used to prevent damage to offshore pipelines placed on the seabed from dropped objects, hydrodynamic wave induced loads, and trawling. The light GRP subsea covers could be stabilized by using skirts which penetrate the seabed soil. The dynamic wave pressure acting on the cover will transfer to the cover bottom and the skirt and further influence the pore pressure and seepage flow inside the soil beneath the cover. The present study performs a numerical analysis for the wave-soilstructure interaction (WSSI) of a subsea cover. Two-dimensional (2D) numerical simulations are carried out using an open-source numerical toolbox for modeling the porous seabed interaction with waves and structures under the framework of the finite-volume-method (FVM) based OpenFOAM. The nonlinear waves are solved to obtain the dynamic wave loadings on the cover and the pressure on the seabed. A soil consolidation model is used to provide the initial effective stress in the soil. Then, a one-way coupling algorithm is applied for the WSSI analysis to obtain the soil response in the vicinity of the cover. The distributions of the wave-induced pore pressure, the soil shear stress, and the seepage flow within the seabed are studied and the influences of the wave heights and the skirt lengths are discussed.

Seasonally frozen ground (SFG) significantly contributes to global carbon sinks. Global warming and anthropogenic-induced disturbances threaten the carbon storage capacity of SFG. Challenges in evaluating the SFG carbon storage potential include the lack of understanding of the control mechanisms of soil organic carbon (SOC) variations and timely spatial estimates of SOC. In this study, we investigated SOC stocks in SFG in the Tibet Autonomous Region, China, in 2020 and 2021. We employed partial least squares structural equation modeling (PLS-SEM) to explore the effect of complex processes (interacting roles of climate, plant physiology and phenology, freeze-thaw cycle, soil environment, and C inputs) on SOC and mapped SOC stocks in the topmost 30 cm. We identified four causal pathways: (1) an indirect pathway representing the effect of climate on plant physiology and phenology through changes in freeze-thaw cycles and soil environment, (2) an indirect pathway representing the effect of climate on C inputs through changes in freeze-thaw cycles, soil environment and plant physiology and phenology, (3) an indirect pathway representing the effect of climate on freeze-thaw cycles, and (4) an indirect pathway representing the effect of climate on the soil environment through changes in freeze--thaw cycles. C inputs exerted the greatest control on SOC. The effect of these factors decreased with increasing soil depth. We used PLS-SEM to generate maps of SOC stocks in SFG at a 500 m resolution with a moderate accuracy. The estimated mean SOC stocks in the 0-30 cm layer reached 6.87 kg m(-2), with a 95% confidence interval ranging from 6.2 to 7.5 kg m(-2). Our results indicated that it is critical to consider the depth dependence of the direct and indirect effects of environmental factors when assessing the control mechanisms of SOC vari-ations. In this work, we also demonstrated that spatially explicit SOC estimates based on timely investigations are important for assessing C stocks against the background of considerable environmental changes across the Ti-betan Plateau.