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Engineering Applications of Computational Fluid Mechanics
Scopus
ISSN 1997-003X · Taylor & Francis Group · 1.094 artikel di indeks
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Artikel Jurnal Teks lengkap
Extrapolative prediction in multiphase flow pipelines: a multi-fidelity surrogate approach with stacking ensemble
Accurate extrapolation of multiphase flow behaviour in offshore pipelines is hindered by limited field data, simulator bias, and strong nonlinearities. A multi-fidelity surrogate approach with stacking ensemble is proposed to address these challenges, in which a field-trained high-fidelity expert…
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Artikel Jurnal
Large eddy simulations of side channel pump in different operating conditions
Large eddy simulations (LES) of a side channel pump are conducted at different operating conditions, including best efficiency point (BEP) and off-design conditions. To address the numerical challenges of this LES, a high-quality mesh consisting of 116 million cells is generated for the impeller…
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Artikel Jurnal
A physics-guided modular deep learning framework for scalable flow state prediction in large-scale gas pipeline networks
Accurate and efficient prediction of flow states in large-scale natural gas pipeline networks (NGPNs) is essential for real-time monitoring, scheduling, and control. Traditional numerical solvers, while physically rigorous, face severe scalability limitations due to the complexity of interconnected…
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Artikel Jurnal
Modelling smoke dynamics and hazards of smouldering fire in complex large space building
Smouldering fires produce significant quantities of toxic smoke and gases that are responsible for severe casualties while rarely considered in building fire safety design. This work simulates smouldering smoke transport using a surrogate model with prescribed mass-loss rate, surface temperature…
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Artikel Jurnal
Numerical modelling of compound flooding in Macau during Typhoon Hato considering inlets drainage effects
Macau, being a densely populated city, frequently experiences typhoon-induced flooding. The simultaneous occurrence of storm surges and heavy rainfall during typhoons exacerbates the severity of flooding, further enhanced by inadequate drainage. This study employs an inundation model based on…
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Artikel Jurnal
Data-driven prediction of river bed scour depth downstream of ski-jump bucket spillways using LSTM-PSO hybrid model
The morphology and maximum depth of scour hole downstream of discharge structures are critical roles for ensuring the stability and safety of hydropower projects. This study is the first to apply a hybrid model combining Long Short-Term Memory (LSTM) networks and Particle Swarm Optimization (PSO)…
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Artikel Jurnal
Analysis and prediction of suspension force characteristics in a scalable groove-less hydrodynamic suspension micropump (GL-HSMP) prototype
Traditional contact-bearing pumps suffer from low power density. The reason is that inherent bearing wear issues restricts their rotational speed. Although hydrodynamic suspension pumps achieve wear-free operation at high speeds, existing designs rely on complex grooving processes and…
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Artikel Jurnal
Optimum design of liquid-cooled plate with asymmetric corrugated channel for battery thermal management
A reasonable design of a battery thermal management system is critical for maintaining the battery within its optimal operating temperature range. A liquid-cooled plate with asymmetric corrugated channels (ACCs) was proposed for a pouch lithium-ion battery. The effects of the phase shift (θ/π)…
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Artikel Jurnal
High precision wave-making method using vertical multi-plate linkage movement for finite water depth
This paper presents a vertical multi-plate coupled wave-making method designed to simulate velocity distributions based on their morphology at finite water depths. The process is explored through both physical experiments and numerical simulations. A three-plate linkage model was developed…
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Artikel Jurnal
Study on the wave-added thrust and navigational instability risks for a trimaran in stern-quartering seas
As a high-performance multihull vessel, the trimaran offers excellent speed and lateral stability, making it less prone to capsizing in complex sea conditions. When operating in stern-quartering seas, trimarans may benefit from wave–hull interactions that generate negative wave resistance or…
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Artikel Jurnal
A smoothed particle hydrodynamics method for the fluid-structure interaction between waves and flexible net panels: modelling, validation and analysis
With the expansion of mariculture into offshore areas, analysing the hydrodynamic characteristics of net cage structures under wave action has become increasingly important. As the fundamental components of net cages, the fluid – structure interaction response of net panels is critical to the safe…
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Artikel Jurnal
Experimental and numerical study of settling of dual cubes released side-by-side
In this study, the settling behaviour of two cubes and two spheres released side-by-side in a quiescent fluid is investigated through both experimental and numerical simulation approaches. Particle Tracking Velocimetry (PTV) and Particle Image Velocimetry (PIV) are employed to capture particle…
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Artikel Jurnal
Reconstruction of the pressure field in dense granular flow using physics-informed neural network
Granular flows are extensively witnessed in natural environments such as dunes in deserts and avalanches, and industrial applications such as transporting cement and grains. Measuring the inherent pressure fields is usually challenging in such flows. In this work, we utilize the physics-informed…
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Artikel Jurnal
A unified phase-matching mechanism for bio-inspired propulsion and vortex-induced energy harvesting in Kármán streets
Fish swimming in unsteady environments can exploit the Kármán vortex streets generated by upstream obstacles to reduce energetic cost or enhance propulsion, offering inspiration for bio-inspired marine energy harvesting. Using a two-dimensional numerical model, this study systematically examines…
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Artikel Jurnal
Enhancing surrogate-based aerodynamic shape optimization via dataset-independent generative modelling and dimensionality reduction
Surrogate-based optimization (SBO) has emerged as a critical tool for efficient global optimization of aircraft aerodynamic configurations driven by expensive computational fluid dynamics (CFD) simulations. However, its application is typically limited to problems with fewer than 100 design…
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Artikel Jurnal
A machine learning-based closure for unsteady RANS simulations of vortex shedding
Accurate computational fluid dynamics (CFD) simulations of complex unsteady flows, which are critical for aircraft design and certification, are often limited by uncertainties inherent in turbulence models, particularly those relying on the Boussinesq approximation. This study introduces a novel…
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Artikel Jurnal
Rapid surrogate modelling of water-hammer in water distribution networks using spatiotemporal graph convolutional networks
Safe drinking water is essential to public health and social stability. Despite advances in modern materials and design, water distribution systems (WDSs) remain vulnerable to failure. Pipe ruptures are particularly consequential because they generate pressure surges (water hammer) that propagate…
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Artikel Jurnal
Model-based reinforcement learning for active flow control: escalating performance and accelerated training
Active flow control (AFC) technology is crucial for achieving predominant drag reduction in marine engineering. To tackle the issue of substantial time consumption inherent in reinforcement learning (RL)-based AFC, this study presents a model-based reinforcement learning (MBRL) approach for active…
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Artikel Jurnal
Heat transfer and reaction kinetics in porous reacting media for steam methane reforming: a critical review and thermodynamic analysis
Steam methane reforming (SMR) remains the dominant industrial route for hydrogen production; however, accurate modeling continues to be constrained by the intricate coupling of reaction kinetics, multicomponent diffusion, and multi-mode heat transfer within high-temperature porous catalytic media…
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Artikel Jurnal
Grid-transferable learning-based scheme for interface normal prediction from the volume fraction field on non-uniform Cartesian meshes
Accurate estimation of interface orientation is critical for the performance of Volume of Fluid (VOF) methods in multiphase flow simulations, particularly on non-uniform Cartesian grids. Traditional gradient reconstruction techniques, such as least-squares (LSQ), often exhibit significant errors…
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