Experimental study on the effect of temperature on HDPE geomembrane/geotextile interface shear characteristics

Lin, Hai; Gong, Xiangyu; Zeng, Yifan; Zhou, Chuangbing

doi:10.1016/j.geotexmem.2023.12.005

Cited by 4 publications

(1 citation statement)

References 63 publications

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“…These changes can induce drying-wetting cycles in the marine soft clay sediment, causing frequent expansion and shrinkage, which can reduce the clay peak shear strength [18][19][20]. Furthermore, the thermal reactions resulting from the climatic changes can cause temperature variations, which can either strengthen or weaken the mechanical properties of the soil [21][22][23]. Additionally, inherent properties of the marine soft clay sediment, such as soil density, moisture content, and other factors, can also have an impact on its peak shear strength [10,[24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

Hu,

Li,

Wang

et al. 2024

Water

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In the design of offshore engineering foundations, a critical consideration involves determining the peak shear strength of marine soft clay sediment. To enhance the accuracy of estimating this value, a database containing 729 direct shear tests on marine soft clay sediment was established. Employing a machine learning approach, the Particle Swarm Optimization algorithm (PSO) was integrated with the Adaptive Boosting Algorithm (ADA) and Back Propagation Artificial Neural Network (BPANN). This novel methodology represents the initial effort to employ such a model for predicting the peak shear strength of the soil. To validate the proposed approach, four conventional machine learning algorithms were also developed as references, including PSO-optimized BPANN, Support Vector Machine (SVM), BPANN, and ADA-BPANN. The study results show that the PSO-BPANN model, which has undergone optimization via Particle Swarm Optimization (PSO), has prediction accuracy and efficiency in determining the peak shear performance of marine soft clay sediments that surpass that offered by traditional machine learning models. Additionally, a sensitivity analysis conducted with this innovative model highlights the notable impact of factors such as normal stress, initial soil density, the number of drying–wetting cycles, and average soil particle size on the peak shear strength of this type of sediment, while the impact of initial soil moisture content and temperature is comparatively minor. Finally, an analytical formula derived from the novel algorithm allows for precise estimation of the peak shear strength of marine soft clay sediment, catering to individuals lacking a background in machine learning.

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Section: Introductionmentioning

confidence: 99%

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

Hu,

Li,

Wang

et al. 2024

Water

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The influence of geosynthetic properties on their shear behaviors at the interface with frozen soil

He,

Hou,

Cao

et al. 2025

Geotextiles and Geomembranes

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The Temperature-Dependent Monotonic Mechanical Characteristics of Marine Sand–Geomembrane Interfaces

Chao,

Zhao,

Liu

et al. 2024

JMSE

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The utilization of geomembrane reinforcement technology is pervasive in marine sand foundation reinforcement projects. However, the elevated temperatures and intricate stress conditions prevalent in marine environments exert a notable influence on the mechanical characteristics of geomembrane interfaces comprising marine sand, which impedes the efficacy of geomembrane reinforcement in marine sand foundations. Nevertheless, there is a lack of research investigating the temperature-dependent interfacial mechanical performance of geomembranes and marine sand under diverse stress states. In this study, a series of monotonic shear tests were carried out on the interface between geomembranes and marine sand within a temperature range of 5 °C to 80 °C. These experiments were carried out using a self-developed large-scale temperature-controlled interfacial dynamic and static shear device. The experimental results demonstrate that temperature has a pronounced effect on the monotonic mechanical characteristics of the geomembrane–marine sand interface, which displays clear temperature dependence. The findings of this study may help in the design and optimization of offshore projects where a marine sand–polymer layer interface exists.

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Experimental study on the effect of temperature on HDPE geomembrane/geotextile interface shear characteristics

Cited by 4 publications

References 63 publications

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

The influence of geosynthetic properties on their shear behaviors at the interface with frozen soil

The Temperature-Dependent Monotonic Mechanical Characteristics of Marine Sand–Geomembrane Interfaces

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