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Optimizing the processing parameters of mechanical and hydraulic conductivity of geotextile liner

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ABSTRACT Glass geotextile reinforcement and needle-punch bonding are applied to compensate for the low mechanical strength of a geotextile clay liner (GCL) and reduce damage under complicated service conditions. Moreover,… Click to show full abstract

ABSTRACT Glass geotextile reinforcement and needle-punch bonding are applied to compensate for the low mechanical strength of a geotextile clay liner (GCL) and reduce damage under complicated service conditions. Moreover, the effects of glass fibers embedded in the bentonite on hydraulic conductivity are investigated. A hybrid-structure glass geogrid-reinforced GCL (GGCL) is constructed by needle punching the bentonite laminated by a glass geogrid layer and separated by a 0.3 mm thick meltblown nonwoven layer. The central composite design (CCD) is proposed to discuss the effects of needle punch density (ND) and depth of punch (DP) on the tensile properties, quasi-static and dynamic puncture resistances, and hydraulic conductivity of the GGCL, and an empirical regression model of these properties is established. Results show that ND and DP significantly affect tensile the properties and puncture resistances while DP insignificantly affects the hydraulic conductivity of the GGCL. Glass fibers embedded into the bentonite improve the hydraulic conductivity of the material. At the 95% confidence interval, the process parameters can be optimized by the empirical regression model. The proposed regression model is consistent with experimental results and can thus be used to predict the mechanical properties and hydraulic conductivity of GGCL.

Keywords: hydraulic conductivity; ggcl; glass; conductivity; geotextile; liner

Journal Title: Materials and Manufacturing Processes
Year Published: 2019

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