Modified stress and temperature-controlled direct shear apparatus on soil-geosynthetics interfaces

Chao, Zhiming; Fowmes, Gary John

doi:10.1016/j.geotexmem.2020.12.011

Cited by 28 publications

(15 citation statements)

References 29 publications

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“…5, most of tests were carried out under low normal Fig. 16 The interaction mechanism between soil and GDL (after Chao and Fowmes [67]) stress, and the interlocking effects between soil and GDL are not the dominant factor for generating shear resistance, as illustrated in Fig. 16.…”

Section: Discussionmentioning

confidence: 99%

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Peak Shear Strength Along Soil-Geocomposite Drainage Layer Interfaces

Chao

Fowmes

Dassanayake

2021

Int. J. of Geosynth. and Ground Eng.

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Peak shear strength of soil-Geocomposite Drain Layer (GDL) interfaces is an important parameter in the designing and operating related engineering structures. In this paper, a database compiled from 316 large direct shear tests on soil-GDL interfaces has been established. Based on this database, five different machine learning models: Back Propagation Artificial Neural Network (BPANN) and Support Vector Machine (SVM), with hyperparameters optimised by Particle Swarm Optimisation Algorithm (PSO) and Genetic Algorithm (GA), respectively, and Extreme Learning Machine (ELM) optimised by Exhaustive Method, were adopt to assess the peak shear strength of soil-GDL interfaces. Then, a comprehensive investigation and comparison of the predictive performance for the models was conducted. Also, based on the selected optimal machine learning model, sensitivity analysis was conducted, and an empirical equation developed based on it. The research indicated that GA and PSO could significantly increase forecasting precision in a small number of iterations. The BPANN model optimised by PSO has the highest forecasting precision based on the statistics criteria: Root-Mean-Square Error, Correlation Coefficient, Coefficient of Determination, Wilmot’s Index of Agreement, and Mean Absolute Percentage Error. The normal stress has the biggest impact on the peak shear strength, followed by drainage core type, moisture saturation of the soil layer, shearing surface, soil type, consolidation condition, geotextile specification, soil density and drainage core thickness, and the ranking is affected partly by the data distribution of input parameters in the database based on mechanism analysis. An empirical equation developed from the optimal model was proposed to estimate the peak shear strength, which provides convenience for geotechnical engineering personnel with limited knowledge of machine learning technique.

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Section: Discussionmentioning

confidence: 99%

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Peak Shear Strength Along Soil-Geocomposite Drainage Layer Interfaces

Chao

Fowmes

Dassanayake

2021

Int. J. of Geosynth. and Ground Eng.

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“…(2021). The detailed description of the shear displacement of Mercia Mudstone Clay-GDL interfaces under different temperature also refers to the first paper of the twopaper set (Chao and Fowmes, 2021) Based on Figure 2, similar to Mercia Mudstone Clay-GDL interfaces, the horizontal displacement of Kaolin Clay-GDL interfaces at elevated temperature is higher than that at room temperature. Moreover, as with Mercia Mudstone Clay-GDL interfaces, with the rise of temperature, the peak shear strength of Kaolin Clay-GDL interfaces decreases, and the decreasing magnitude under low normal stress is larger than that under high normal stress.…”

Section: Creep Shear Testsmentioning

confidence: 99%

“…The bespoke temperature and stress-controlled large direct shear apparatus developed consists of four primary systems: normal stress system, shear stress system, heating system, and data acquisition and control system, as shown in Figure 1. The detailed introduction of the apparatus can be found in Chao and Fowmes (2021) .…”

Section: Experimental Apparatusmentioning

confidence: 99%

“…The experimental results of the creep tests on Kaolin Clay-GDL interfaces subjected to thermal cycles and the creep tests subjected to drying-wetting cycles under the same creep shear stress level are plotted in Figure 9. The corresponding curves of Mercia Mudstone Clay-GDL interfaces during thermal cycles refer Figure 16 in Chao and Fowmes (2021). In order to further determine that, during the drying cycles, the increase in creep shear displacement of Clayey soil-GDL interfaces is due to the combined impacts of elevated temperature and drying or the individual impact of the two factors, taking the beginning time of the first drying/thermal cycle as the 0 minute and the horizontal displacement at the beginning of the first drying/thermal cycle as 0 mm, the horizontal displacement of Kaolin Clay-GDL interfaces subjected to thermal cycles and subjected to drying-wetting cycles under 60 % creep shear stress level in elapsed time was drawn in Figure 10, respectively.…”

Section: Impacts Of Thermal Cyclesmentioning

confidence: 99%

“…This is the second paper of two related papers. The first paper describes the bespoke stress and temperature-controlled large direct shear apparatus on soil-geosynthetics interfaces in detail (Chao and Fowmes, 2021). The aim of this second paper is to demonstrate in depth understanding of the mechanical responses of multiple of clayey soil-GDL interfaces under environmental loadings.…”

Section: Introductionmentioning

confidence: 99%

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The short-term and creep mechanical behaviour of clayey soil-geocomposite drainage layer interfaces subjected to environmental loadings

Chao

Fowmes

2022

Geotextiles and Geomembranes

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Direct shear behaviors of excavated clay reinforced with geocomposite drainage layer encapsulated in thin sand layers

Wang,

Xu,

Qian

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Modified stress and temperature-controlled direct shear apparatus on soil-geosynthetics interfaces

Cited by 28 publications

References 29 publications

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Peak Shear Strength Along Soil-Geocomposite Drainage Layer Interfaces

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Peak Shear Strength Along Soil-Geocomposite Drainage Layer Interfaces

The short-term and creep mechanical behaviour of clayey soil-geocomposite drainage layer interfaces subjected to environmental loadings

Direct shear behaviors of excavated clay reinforced with geocomposite drainage layer encapsulated in thin sand layers

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