نتایج جستجو برای: geocomposite

تعداد نتایج: 34  

Journal: :Sustainability 2022

Against the background of sustainable development, landfill covers can consist a range materials, from clay to geocomposite and polymer composites. Given engineering environmental requirements, we analyzed performance sustainability four sanitary cover namely clay, HDPE, PVC, GCL. Within principles environmentally design, constructed material selection index based on as well economic impacts ma...

2015
Werner W Müller Fokke Saathoff

Geosynthetics are planar polymeric products, which are used in connection with soil, rock or other soil-like materials to fulfill various functions in geoenvironmental engineering. Geosynthetics are of ever-growing importance in the construction industry. Sealing of waste storage facilities to safely prevent the emission of wastewater, landfill gas and contaminated dust as well as the diffusion...

Journal: :Geotextiles and Geomembranes 2022

In this paper, to investigate the impact of environmental loadings on short-term and creep mechanical characteristics different types clayey soil-Geocomposite Drainage Layers (GDL) interfaces, a series rapid loading shear tests were conducted Mercia Mudstone Clay-GDL interfaces Kaolin subjected drying-wetting cycles, thermal cycles elevated temperature, etc, using bespoke temperature stress-con...

Journal: :Journal of building engineering 2021

In this study, the effects of multiscale conductive carbon fillers, including nanotubes (CNTs), graphene nanoplatelets (GNPs), and fibres (CFs), on mechanical microstructural properties, durability, piezoresistivity cementitious stabilised sand (CSS) were investigated. route, surface CFs was modified via an oxidation process to improve their interfacial performance dispersion. An optimum amount...

Journal: :International Journal of Geosynthetics and Ground Engineering 2021

Abstract 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 tests on soil-GDL has been established. Based database, five different machine learning models: Back Propagation Artificial Neural Network (BPANN) Support Vector Machine (S...

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