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Modelling
Special Issues
Recent Advances in Computational Fluid Mechanics
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Recent Advances in Computational Fluid Mechanics

A special issue of Modelling (ISSN 2673-3951).

Deadline for manuscript submissions: 30 April 2026 | Viewed by 3837

Special Issue Editors

Dr. Yazhou Wang

E-Mail Website
Guest Editor
School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany
Interests: fluid mechanics; structural dynamics; finite element analysis; time integration algorithms; multiphysics modelling and simulation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Tao Xue

E-Mail Website
Guest Editor
School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: multiphase reactive fluid dynamics and applications; numerical simulation and modeling of interior ballistics; multiphysics coupling numerical computation and simulation; high-precision and high-efficiency numerical calculation methods

Special Issue Information

Dear Colleagues,

Computational fluid mechanics has become an essential pillar in the simulation and analysis of fluid dynamics phenomena across a wide spectrum of scientific and engineering disciplines. With the increasing complexity of physical systems and the demand for high-fidelity simulations, advances in computational algorithms, numerical methods, and multi-physics coupling strategies are playing a critical role in driving innovation in this field. These developments not only deepen our understanding of fluid mechanics but also enhance predictive capabilities in applications ranging from aerospace engineering to environmental modeling.

We are pleased to invite submissions to the Special Issue titled “Recent Advances in Computational Fluid Mechanics”, which aims to highlight recent progress, novel methodologies, and interdisciplinary approaches in the field. This Special Issue welcomes original research articles that focus on the development and application of numerical techniques, including, but not limited to, the finite difference method (FDM), finite volume method (FVM), spectral/finite element method (SEM/FEM), lattice Boltzmann method (LBM), smoothed-particle hydrodynamics (SPH), moving particle semi-implicit method (MPS), moving least-squares method (MLS), and material point method (MPM), as well as high-performance computing strategies, turbulence modeling, multi-phase and reactive flow simulation, and data-driven or machine learning-enhanced computational techniques.

We especially encourage interdisciplinary works that bridge computational methods with experimental validation, theoretical analysis, or emerging data-driven techniques. Review and tutorial articles that provide insight into the current challenges and future trends in computational fluid mechanics are also welcome.

We look forward to receiving your valuable contributions and jointly advancing the frontiers of computational fluid mechanics.

Dr. Yazhou Wang
Prof. Dr. Tao Xue
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Modelling is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • turbulence modeling
  • multi-phase and multi-component flows
  • reactive and compressible fluid dynamics
  • fluid–structure interaction
  • aeroacoustics and aerodynamics
  • environmental and geophysical flows
  • heat and mass transfer
  • uncertainty quantification and sensitivity analysis
  • data-driven technique
  • high-performance and parallel computing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

21 pages, 10986 KB  
Article
CFD–DEM Modelling of Ground Collapse Induced by Underground Pipeline Leakage in Water-Rich Sand Layers
by Zili Dai and Likang Zhao
Modelling 2025, 6(4), 141; https://doi.org/10.3390/modelling6040141 - 3 Nov 2025
Viewed by 334
Abstract
Urban underground pipeline aging and leakage can result in soil erosion and ground collapse, constituting a major threat to urban public safety. To investigate this disaster mechanism, this present study established a two-dimensional numerical model based on the computational fluid dynamics–discrete element method [...] Read more.
Urban underground pipeline aging and leakage can result in soil erosion and ground collapse, constituting a major threat to urban public safety. To investigate this disaster mechanism, this present study established a two-dimensional numerical model based on the computational fluid dynamics–discrete element method (CFD–DEM) two-way fluid–solid coupling approach, simulating and reproducing the entire process from soil erosion, soil arch evolution to ground collapse caused by underground pipeline leakage in water-rich sand layers. The simulation shows that under the action of seepage pressures, soil particles are eroded and lost, forming a cavity above the pipeline defect. As soil continues to be lost, the disturbed zone expands toward the ground surface, causing ground settlement, and in water-rich sand layers, a funnel-shaped sinkhole is eventually formed. The ground collapse process is closely related to the groundwater level and the thickness of the overlying soil layer above the pipeline. Rising groundwater levels reduce the effective stress and shear strength of the soil, significantly exacerbating seepage erosion. Increasing the thickness of the overlying soil layer can enhance the confining pressure, improve soil compactness, and promote the formation of soil stress arch, thereby effectively slowing down the rate of ground collapse. This study reproduces the process of ground collapse numerically and reveals the mechanism of ground collapse induced by underground pipeline leakage in water-rich sand layers. Full article
(This article belongs to the Special Issue Recent Advances in Computational Fluid Mechanics)
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14 pages, 2956 KB  
Article
Influence of AlSi10Mg Thermophysical Properties on the Melt Pool Morphology During High-Fidelity Simulation of Laser Powder Bed Fusion
by Ivan A. Pelevin, Maria V. Bogdanova, Andrey V. Zakirov, Dmitriy D. Zherebtsov and Stanislav V. Chernyshikhin
Modelling 2025, 6(4), 135; https://doi.org/10.3390/modelling6040135 - 28 Oct 2025
Viewed by 485
Abstract
Laser powder bed fusion (LPBF) is an advanced additive manufacturing method, but its productivity is relatively low, which limits its application. Performance can be increased without hardware modifications by enlarging the powder-layer thickness. However, this approach requires deeper investigation because the probability of [...] Read more.
Laser powder bed fusion (LPBF) is an advanced additive manufacturing method, but its productivity is relatively low, which limits its application. Performance can be increased without hardware modifications by enlarging the powder-layer thickness. However, this approach requires deeper investigation because the probability of defects (keyhole porosity, lack of fusion) rises substantially, and experiments become costly since each thickness value requires a separate LPBF run. High-fidelity simulation under such conditions can reduce the experimental workload. Reliable predictions, however, require numerous thermophysical parameters; reported values are often inconsistent or unavailable, and few studies have quantified their influence on simulation outcomes. A Lattice Boltzmann-based model is adopted to simulate the keyhole melting mode of AlSi10Mg. The effects of laser spot diameter, laser absorptivity, and the temperature dependence of thermal diffusivity and surface tension on the results are investigated. Predicted melt-pool morphologies are compared with cross-sections of experimental single tracks. Full article
(This article belongs to the Special Issue Recent Advances in Computational Fluid Mechanics)
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16 pages, 6023 KB  
Article
Investigation of Aerodynamic Pressure Characteristics Inside and Outside a Metro Train Traversing a Tunnel in High-Altitude Regions
by Fei Wang, Haisheng Chen, Tianji Liu, Xingsen He, Chunjie Cheng, Lin Xu and Shengzhong Zhao
Modelling 2025, 6(4), 113; https://doi.org/10.3390/modelling6040113 - 24 Sep 2025
Viewed by 2671
Abstract
The numerical method was employed to analyze the transient pressure characteristics of a metro train passing through a tunnel in high-altitude regions. The transient pressure evolution inside and outside the train under varying ambient pressures is analyzed and compared. The findings indicate that [...] Read more.
The numerical method was employed to analyze the transient pressure characteristics of a metro train passing through a tunnel in high-altitude regions. The transient pressure evolution inside and outside the train under varying ambient pressures is analyzed and compared. The findings indicate that while ambient pressure minimally impacts the waveform of the exterior transient pressure, it significantly influences the peak value. Specifically, as ambient pressure rises, the maximum transient pressure (P-max) and the peak-to-peak transient pressure (ΔP) on the train’s exterior surface increase linearly, whereas the minimum transient pressure (P-min) decreases linearly. Moreover, this study analyzed pressure changes within the metro train under varying ambient pressures to assess their impact on passengers’ ear comfort. The trend of pressure peak reduction and delay inside the metro train with a certain degree of airtightness remains well aligned for different ambient pressures. In areas of high altitude with low atmospheric pressure, the requirements for the tightness performance of the train are lower. Full article
(This article belongs to the Special Issue Recent Advances in Computational Fluid Mechanics)
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