[HTML][HTML] AI-Neural Networking Analysis (NNA) of Thermally Slip Magnetized Williamson (TSMW) fluid flow with heat source

KU Rehman, W Shatanawi, WG Alharbi… - Case Studies in Thermal …, 2024 - Elsevier
The thermal case study is conducted by using artificial intelligence to examine the heat
transfer traits in Williamson fluid flow with heat source and thermal slip effects. The thermal …

[HTML][HTML] Prediction of the compressive strength of vibrocentrifuged concrete using machine learning methods

AN Beskopylny, SA Stel'makh, EM Shcherban'… - Buildings, 2024 - mdpi.com
The determination of mechanical properties for different building materials is a highly
relevant and practical field of application for machine learning (ML) techniques within the …

[HTML][HTML] Group theoretic thermal analysis on heat transfer coefficient (HTC) at thermally slip surface with tangent hyperbolic fluid: AI based decisions

KU Rehman, W Shatanawi, WG Alharbi - Case Studies in Thermal …, 2024 - Elsevier
By following the statistics, over the last few years, the use of Artificial Intelligence conjectured
with mathematical models has increased abundantly for physical problems having thermal …

[HTML][HTML] Prediction of tool eccentricity effects on the mechanical properties of friction stir welded AA5754-H24 aluminum alloy using ANN model

ARS Essa, MMZ Ahmed, ARK Aboud, R Alyamani… - Materials, 2023 - mdpi.com
The current study uses three different pin eccentricities (e) and six different welding speeds
to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To …

[HTML][HTML] Research on performance monitoring of binary nano modified concrete based on temperature variation

D Syamsunur, L Wei, MN Hisyam, ZA Memon… - Case Studies in …, 2023 - Elsevier
The use of concrete is widespread, but it poses challenges due to its high consumption of
Earth's raw resources and difficulties in recycling and reclamation. Today, the pressing …

[HTML][HTML] Lie symmetry based neural networking analysis for Powell–Eyring fluid flow with heat and mass transfer effects

KU Rehman, W Shatanawi - International Journal of Thermofluids, 2024 - Elsevier
Heat exchangers, drying, dehydration, pollutant dispersion, separation processes, and
biological individualities to name a few are significant phenomena in numerous fields and …

[PDF][PDF] Optimization of tuff stones content in lightweight concrete using artificial neural networks

AA Yasin, MT Awwad, AB Malkawi… - Civil Engineering …, 2023 - researchgate.net
Tuff stones are volcanic sedimentary rocks formed by the consolidation of volcanic ash. They
possess unique geological properties that make them attractive for a variety of construction …

[HTML][HTML] Experimental Investigation and Machine Learning Prediction of Mechanical Properties of Rubberized Concrete for Sustainable Construction

TS Vadivel, A Suseelan, K Karthick, M Safran… - Scientific Reports, 2024 - nature.com
Concrete is widely used in civil engineering applications and the natural aggregates which
used in concrete are scarce, but its demand is increasing. The disposal of rubber tyres …

[HTML][HTML] Comparative study on the effects of five nano-metallic oxide particles on the long-term mechanical property and durability of cement mortar

S Dong, S Yu, L Chen, Q Zhuo, F Wu, L Xie, L Liu - Buildings, 2023 - mdpi.com
Nano-metallic oxide particles have been found to be potentially effective microstructural
reinforcements for cement mortar and have become a research hotspot in recent years for …

An Intelligent Approach for Predicting Mechanical Properties of High-Volume Fly Ash (HVFA) Concrete

M Adamu, A Çolak, I Umar, Y Ibrahim… - Civil Engineering …, 2023 - avesis.ticaret.edu.tr
Plastic waste (PW) is a major soild waste, which its generation continues to increase
globally year in and year out. Proper management of the PW is still a challenge due to its …