Forecasting the long-term deterioration of a cut slope in high-plasticity clay using a numerical model

Geocell reinforcement (GR) improves load-deformation behavior of shallow foundations. A series of instrumented large-scale plate load tests was performed to ascertain such improvements and to corre...

Bearing capacity-relative density behavior of circular footings resting on geocell-reinforced sand

Lightweight structures built on expansive soils are susceptible to damage caused by soil movement. Financial losses resulting from the improper design of structures on expansive soils can be significant. The interactions and failure mechanisms of different geotechnical structures constructed on such soils differ depending on the structure type, site characteristics, and climatic conditions, as the behaviour of expansive soils is influenced by moisture variations. Therefore, the performance of different geotechnical structures (e.g., lightweight footings for residential buildings) is expected to be adversely affected by climate change (especially rainfall and temperature change), as geotechnical structures are often designed to have a service life of 50–100 years. Some structures may even fail if the effect of climate change is not considered in the present design. This review aims to provide insights into problems associated with expansive soils that trigger the failure of lightweight structures, including current investigations and industry practices. This review recognises that although the soil moisture conditions govern expansive soil behaviour, limited studies have incorporated the effect of future climate changes. In addition, this review identifies the need to improve the current Australian design practice for residential footings through the inclusion of more site-specific investigations and expected climate changes.

/pdf/accounting-for-expansive-soil-movement-in-geotechnical-hacu5rop.pdf

Accounting for Expansive Soil Movement in Geotechnical Design—A State-of-the-Art Review

Assessing the influence of the hydraulic boundary conditions on clay slope stability: The Fontana Monte case study

Abstract Landslides are frequent hillslope events that may present significant risks to humans and infrastructure. Researchers have made ongoing efforts to assess the potential danger associated with landslides, intending to ascertain the location, frequency, and magnitude of these events in a given area. This study is meant to supplement the previous study (Part I), which explored empirical and physically based causative thresholds. In this paper (Part II), a systematic review is used to conduct an in-depth study of existing research on prediction models. Deterministic physical approaches were investigated for local-scale landslides. Next, national-scale landslide susceptibility models are discussed, including qualitative and quantitative models. Consequently, key findings about rainfall-induced landslides are reviewed. The strategy selection is generally governed by data and input factors from a macroscopic perspective, while the better prediction model is defined by dataset quality and analysis model performance from a microscopic perspective. Physically based causative thresholds can be used with limited geotechnical or hydrological data; otherwise, numerical analysis provides optimal accuracy. Among all statistical models, the hybrid artificial intelligence model achieved the best accuracy. Finally, current challenges have concentrated on integrating AI and physical models to obtain high accuracy with little data, prompting research suggestions. Advanced constitutive models for real-time situations are lacking. Dynamic and spatiotemporal susceptibility maps are also used, although their subjectivity needs further research. This study analyses how to choose the best model and determine its key traits. This research provides valuable insights for scholars and practitioners seeking innovative approaches to lessen the severity of landslides. 

pdf/rainfall-induced-landslide-prediction-models-part-ii-394g7xs58p.pdf

Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models

Seasonal wetting and drying stress cycles can lead to long-term deterioration of high-plasticity clay slopes through the accumulation of outward and downward deformations leading to plastic strain ...

/pdf/modelling-seasonal-ratcheting-and-progressive-failure-in-3ianqoqbzt.pdf

Modelling seasonal ratcheting and progressive failure in clay slopes : a validation

The design of engineered earthworks is predominantly conducted through limit equilibrium analysis, requiring strain-independent strength criteria. Previous studies on deep-seated first-time failure...

/pdf/strength-parameter-selection-framework-for-evaluating-the-3fp8esjit2.pdf

Strength parameter selection framework for evaluating the design life of clay cut slopes

https://www.eprints.ncl.ac.uk/file_store/production/254433/401D8409-9AC2-4CA4-A18B-C700148C9240.pdf

Infrastructure Slopes: Sustainable Management And Resilience Assessment: iSMART Final report

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Papers

Forecasting the long-term deterioration of a cut slope in high-plasticity clay using a numerical model

Modelling seasonal ratcheting and progressive failure in clay slopes : a validation

Strength parameter selection framework for evaluating the design life of clay cut slopes

Infrastructure Slopes: Sustainable Management And Resilience Assessment: iSMART Final report