Image-aided physical and compression characterisation of expanded polystyrene geofoam

PG Sreekantan, P Vangla… - Geosynthetics …, 2023 - icevirtuallibrary.com
The present study focuses on an advanced and accurate characterisation of the
compressive behaviour of expanded polystyrene (EPS) geofoam with the aid of imaging …

Assessment of Compressive and Flexural Properties and Stacking Strength of Expanded Polystyrene Boxes: Experimental and Simulation Study

Z Lu, F Jónsdóttir, S Arason, B Margeirsson - Applied Sciences, 2023 - mdpi.com
Expanded polystyrene (EPS) boxes are used for the packaging of perishable and vulnerable
goods during transportation; for instance, fresh fish fillets. It is important to minimize the …

[HTML][HTML] The Long-Term Performance of a High-Density Polyethylene Geomembrane with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable …

BMC Urashima, R Santos, LD Ferreira, T Inui… - Applied Sciences, 2024 - mdpi.com
The tailings from gold beneficiation can cause various negative impacts, necessitating
measures to prevent their transport and environmental contamination. Geomembranes …

Influence of paste strength on the strength of expanded polystyrene (EPS) concrete with different densities

D He, W Zheng, Z Chen, Y Qi, D Zhang, H Li - Polymers, 2022 - mdpi.com
Concrete in which EPS (expanded polystyrene) particles partially or completely replace
concrete aggregates is called EPS concrete. Compared to traditional concrete, EPS …

Parametric evaluation and prediction of design parameters of geofoam using artificial neural network and extreme gradient boosting models

PG Sreekantan, A Pant, GV Ramana - Innovative Infrastructure Solutions, 2024 - Springer
Expanded polystyrene (EPS) geofoam is increasingly used in the construction industry as a
lightweight fill material. The selection of an appropriate grade of geofoam in such cases is …

Predictive models for treated clayey soils using waste powdered glass and expanded polystyrene beads using regression analysis and artificial neural network

E Akis, OY Cigdem - Neural Computing and Applications, 2024 - Springer
Waste materials contribute to a wide range of environmental and economic problems. To
minimize their effects, a safe strategy for reducing such negative impact is required …

Shrink–swell index prediction through deep learning

B Teodosio, PLP Wasantha, E Yaghoubi… - Neural Computing and …, 2023 - Springer
Growing application of artificial intelligence in geotechnical engineering has been observed;
however, its ability to predict the properties and nonlinear behaviour of reactive soil is …

Prediction of Turkish mutual funds' net asset value using the fund portfolio distribution

Ü Yılmaz, ÂY Orbak - Neural Computing and Applications, 2023 - Springer
Accurate prediction of mutual funds' net asset value (NAV) has become increasingly
important for investors. Mutual fund investors will be significantly supported by the …

EPS Daneciklerinin ve/veya Cam Tozunun Killi Zeminlerin Kıvam Limitlerine Etkisi ve Limitlerin YSA ve Regresyon ile Tahmin Edilmesi

E Akıs, ÖY Çiğdem - Journal of the Institute of Science and …, 2023 - dergipark.org.tr
Zeminlerin kıvam özellikleri, zeminlerin sınıflandırmasında ve parametrelerinin tahmin
edilmesinde önemli bir araçtır. Bu çalışmanın ilk bölümünde atık malzeme ile iyileştirilen killi …

Investigation Into Mechanical Properties of Expanded Polystyrene Fresh Fish Boxes Using Finite Element Analysis and Experimental Methods

Z Lu, F Jónsdóttir, S Arason… - ASME …, 2023 - asmedigitalcollection.asme.org
Expanded polystyrene (EPS) is used as packaging material in transportation. To reduce
environmental impact, it is crucial to minimize the consumption of packaging materials and …