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Profil bibliographique

Uzak Zhapbasbayev

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

8Publications signalées
1Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Integrated Energy Systems OptimizationRheology and Fluid Dynamics StudiesMicroencapsulation and Drying ProcessesConstruction Management and SustainabilityEconomic and Technological Systems Analysis

Les publications récentes

Accès ouvert 2026 article OpenAlex

Polymer-Induced Turbulent Drag Reduction: Mechanisms, Governing Parameters, Numerical Modeling, and Emerging Machine Learning Approaches—A Comprehensive Review

Uzak Zhapbasbayev, Timur Bekibayev, Gaukhar Ramazanova

This comprehensive review systematically examines the fundamental and contemporary concepts underlying the Toms effect—the phenomenon of turbulent drag reduction (DR) induced by the addition of minute concentrations of high-molecular-weight linear polymers to turbulent flows. The evolution of scientific understanding is traced from …

kz (code pays fourni par la source)

0 citations Applied Sciences
Accès ouvert 2026 article OpenAlex

Rheological Transformation of Waxy Crude Oil During Transition to a Viscoplastic State

Uzak Zhapbasbayev, Timur Bekibayev, Gaukhar Ramazanova, Olzhas Kenzhaliev

This study investigates non-isothermal laminar flow of waxy crude oil in a pipe. Due to heat exchange with the surroundings, the flow cools along the pipe length, resulting in a gradual transformation of the oil rheology from Newtonian to viscoplastic behavior. The …

kz (code pays fourni par la source)

0 citations Applied Sciences
Accès ouvert 2026 article OpenAlex

Predictive Diagnostics and Detection of Failures in Urban Heating Systems using Machine Learning

Gulnar Balakayeva, Uzak Zhapbasbayev, Dauren Darkenbayev

This paper presents a comprehensive solution for predictive maintenance of urban heating systems based on modern machine learning algorithms. The primary objective of the study is the early detection of potential equipment failures, thereby increasing network reliability and reducing unplanned downtime. To …

kz (code pays fourni par la source)

0 citations Engineered Science

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