Long-term performance of a HDPE geomembrane stabilized with HALS in chlorinated water

Abdelaal, Fady B.; Morsy, M.; Rowe, R. Kerry

doi:10.1016/j.geotexmem.2019.103497

Cited by 23 publications

(5 citation statements)

References 44 publications

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“…The third stage is related to the free radical formations, and cross-linking occurs in the free radicals with high changes in the molecular composition. Therefore, the mechanical and stress cracking properties are decreased, increasing the susceptibility of the polymer to the degradation effects [5,6,31]. It can be observed that the samples are still in the first stage of oxidation.…”

Section: Physical Evaluationsmentioning

confidence: 99%

Environmental Protection with HDPE Geomembranes in Mining Facility Constructions

Lavoie

Kobelnik

Valentin

et al. 2021

Construction Materials

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The present work evaluated two high-density polyethylene (HDPE) geomembranes exhumed from mining facility constructions in Brazil. The MIN sample was exhumed from a pond for water use for the iron ore process after 7.92 years of exposure. The MIN2 sample was exhumed from a spillway channel of a ferronickel tailing dam after 10.08 years of service. The physical evaluations showed high depletion for antioxidants that work in the temperature range of 200 °C. The samples presented brittle tensile behavior and had similar behaviors between stress cracking and tensile. Low tensile elongation values and low-stress crack resistance were noted. The MIN2 sample presented a higher melt flow index (MFI) value and lower stress crack resistance. Thermogravimetric curves (TG) under synthetic air purge gas evaluation showed that both samples presented a similar behavior during the evaluation but had several mass losses. The results showed that exothermic and endothermic events occurred with loss of mass and showed no combustion events in the differential thermal analysis (DTA) curve evaluation. Differential scanning calorimetry (DSC) analysis showed no changes in the samples’ behavior. Thus, the results of tensile, stress cracking, and viscosity properties can demonstrate that changes in polymer structure occurred after field exposures.

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Section: Physical Evaluationsmentioning

confidence: 99%

Environmental Protection with HDPE Geomembranes in Mining Facility Constructions

Lavoie

Kobelnik

Valentin

et al. 2021

Construction Materials

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“…Geomembranes are widely applied in hydraulic engineering, civil engineering and other engineering fields (Biabani and Indraratna, 2015;Cazzuffi and Gioffrè, 2020;Koerner and Koerner, 2006;Yu and Rowe, 2018), and in order for them to operate effectively they must interact with surrounding materials, such as soil, etc. through interfaces (Abdelaal et al, 2019;Eldesouky and Brachman, 2018;Rowe et al, 2009;Rowe and Shoaib, 2017).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence algorithms for predicting peak shear strength of clayey soil-geomembrane interfaces and experimental validation

Chao

Shi²,

Fowmes³

et al. 2023

Geotextiles and Geomembranes

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“…As a common water-proofing material, it is inevitable that geomembrane installed in landfills will experience a high temperature environment. Since the main raw material of producing geomembrane is thermal-softening plastic materials such as nylon, polyethylene, etc., in elevated temperatures, the softening of geomembrane may occur [ 28 ]. This has an obvious influence on the interface mechanical properties between geomembrane and soil [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Temperature-Dependent Long-Term Creep Mechanical Response of Silica Sand-Textured Geomembrane Interfaces Based on Physical Tests and Machine Learning Techniques

Chao,

Wang,

et al. 2023

Materials

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Preciously assessing the creep mechanical response of sand–geomembrane interfaces is vital for the design of relevant engineering applications, which is inevitable to be influenced by temperature and stress statuses. In this paper, based on the self-developed temperature-controlled large interface shear apparatus, a series of long-term creep shear tests on textured geomembrane–silica sand interfaces in different temperatures, normal pressure, and creep shear pressure were conducted, and a database compiled from the physical creep shear test results is constructed. By adopting the database, three disparate machine learning algorithms of the Back Propagation Artificial Neural Network (BPANN), the Support Vector Machine (SVM) and the Extreme Learning Machine (ELM) were adopted to assess the long-term creep mechanical properties of sand–geomembrane interfaces while also considering the influence of temperature. Then, the forecasting results of the different algorithms was compared and analyzed. Furthermore, by using the optimal machine learning model, sensitivity analysis was carried out. The research indicated that the BPANN model has the best forecasting performance according to the statistics criteria of the Root-Mean-Square Error, the Correlation Coefficient, Wilmot’s Index of Agreement, and the Mean Absolute Percentage Error among the developed models. Temperature is the most important influence factor on the creep interface mechanical properties, followed with time. The research findings can support the operating safety of the related engineering facilities installed with the geomembrane.

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Long-term performance of a HDPE geomembrane stabilized with HALS in chlorinated water

Cited by 23 publications

References 44 publications

Environmental Protection with HDPE Geomembranes in Mining Facility Constructions

Environmental Protection with HDPE Geomembranes in Mining Facility Constructions

Artificial intelligence algorithms for predicting peak shear strength of clayey soil-geomembrane interfaces and experimental validation

Predicting the Temperature-Dependent Long-Term Creep Mechanical Response of Silica Sand-Textured Geomembrane Interfaces Based on Physical Tests and Machine Learning Techniques

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