Comprehension of Energy-Based Methods for Investigating Soil Suffusion Uncertainties

Azrin, Ahmad and Raudhah, Ahmadi and Imtiyaz Akbar, Najar and Ana Sakura, Zainal Abidin (2024) Comprehension of Energy-Based Methods for Investigating Soil Suffusion Uncertainties. International Journal of Design & Nature and Ecodynamics, 19 (3). pp. 733-743. ISSN 1755-7445

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Abstract

This paper delves into the contemporary landscape of suffusion investigation in soil, with a specific emphasis on energy-based methods. Recent research endeavours, notably have significantly advanced the discourse in this domain by proposing the utilization of the erosion resistance index, and introduced a novel energy-based method, both aimed at elucidating suffusion susceptibility. Building upon this foundation, some researchers conducted a comprehensive exploration of factors influencing suffusion. Notably, confining pressure and fines content emerged as pivotal variables exerting a substantial impact on the phenomenon. This understanding underscores the multifaceted nature of suffusion and its sensitivity to specific soil characteristics. In addition, researchers contributed to the literature by developing a discrete numerical model, providing a computational framework to investigate suffusion initiation and its subsequent effects on soil mechanical properties. This modeling approach adds a valuable dimension to the existing methodologies, enabling a more granular examination of suffusion dynamics. In concert, these studies collectively underscore the paramount significance of energy-based methods in both understanding and predicting suffusion in soil. The amalgamation of diverse approaches not only enhances our comprehension of the intricacies involved but also positions energy-based methods as instrumental tools for advancing the field of soil mechanics. This review consolidates these insights, providing a synthesized overview of the evolving landscape in suffusion research and highlighting avenues for future exploration and refinement of energy-based methods.

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