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<p>Salinity variations in pore fluids can significantly influence interparticle forces, leading to changes in soil properties and behavior. Whether natural or human-induced, changes in pore fluid chemistry have important implications at the seafloor, where effective stress approaches zero, and where both marine life and infrastructure depend on sediment stability. To identify the threshold salt concentration that triggers geotechnical and behavioral changes under near-zero effective stress, and to establish a simple indicator of soil susceptibility, we conducted over 300 geotechnical laboratory tests on four soils with diverse mineralogical compositions and particle size distributions. Based on these results, we developed a simple, physically meaningful, and asymptotically correct model that quantitatively predicts the effects of ionic concentration on soil behavior. The specific surface area (<i>S</i><sub>S</sub>) emerged as a reliable predictor of salinity sensitivity, with pronounced effects observed in soils where <i>S</i><sub>S</sub> exceeds 50&#xa0;m<sup>2</sup>/g. Finally, we applied our findings to a simplified case study of salinity intrusion in the Black Sea, demonstrating the model’s practical relevance.</p>

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Salinity-induced transition in the geotechnical behavior of fine-grained soils under near-zero effective stress: a physically based predictive framework

  • 期刊论文

  • 发表日期：

    2026年4月18日

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  • Marco Terzariol,
  • M. Clara Modenesi

摘要

Salinity variations in pore fluids can significantly influence interparticle forces, leading to changes in soil properties and behavior. Whether natural or human-induced, changes in pore fluid chemistry have important implications at the seafloor, where effective stress approaches zero, and where both marine life and infrastructure depend on sediment stability. To identify the threshold salt concentration that triggers geotechnical and behavioral changes under near-zero effective stress, and to establish a simple indicator of soil susceptibility, we conducted over 300 geotechnical laboratory tests on four soils with diverse mineralogical compositions and particle size distributions. Based on these results, we developed a simple, physically meaningful, and asymptotically correct model that quantitatively predicts the effects of ionic concentration on soil behavior. The specific surface area (SS) emerged as a reliable predictor of salinity sensitivity, with pronounced effects observed in soils where SS exceeds 50 m2/g. Finally, we applied our findings to a simplified case study of salinity intrusion in the Black Sea, demonstrating the model’s practical relevance.