Pub Date : 2025-11-02DOI: 10.1016/j.compfluid.2025.106894
S.G. Garcia, Y. Ling
In the atomization and spray formation process, liquid structures undergo transient and complex deformation, making it challenging to characterize their morphological evolution. In the present study, a novel skeletonization method is presented to extract the topological skeleton for 2D and 3D liquid structures resolved by the Volume-of-Fluid (VOF) method. The maximally inscribed balls (MIB) within the reconstructed VOF surface are identified, and their resulting centers and radii consist of the topological skeleton. Due to numerical errors inherent in VOF-represented surfaces, erroneous skeleton points may arise. A filtering method is proposed to remove these skeleton points based on geometric properties. The skeletonization method is first tested using synthetic drop shapes composed of a superposition of spherical harmonic modes with different amplitudes. The number of skeleton branches is related to the mode number. The method is then applied to characterize the shape evolution of a drop in aerodynamic breakup. Both 2D axisymmetric and full 3D simulations are performed. The obtained curve and surface skeletons are useful for analyzing the morphological evolution of the drop and, more importantly, the sheet thickness distribution in the complex liquid bag.
{"title":"Characterizing drop morphology evolution in aerodynamic breakup with topological skeleton","authors":"S.G. Garcia, Y. Ling","doi":"10.1016/j.compfluid.2025.106894","DOIUrl":"10.1016/j.compfluid.2025.106894","url":null,"abstract":"<div><div>In the atomization and spray formation process, liquid structures undergo transient and complex deformation, making it challenging to characterize their morphological evolution. In the present study, a novel skeletonization method is presented to extract the topological skeleton for 2D and 3D liquid structures resolved by the Volume-of-Fluid (VOF) method. The maximally inscribed balls (MIB) within the reconstructed VOF surface are identified, and their resulting centers and radii consist of the topological skeleton. Due to numerical errors inherent in VOF-represented surfaces, erroneous skeleton points may arise. A filtering method is proposed to remove these skeleton points based on geometric properties. The skeletonization method is first tested using synthetic drop shapes composed of a superposition of spherical harmonic modes with different amplitudes. The number of skeleton branches is related to the mode number. The method is then applied to characterize the shape evolution of a drop in aerodynamic breakup. Both 2D axisymmetric and full 3D simulations are performed. The obtained curve and surface skeletons are useful for analyzing the morphological evolution of the drop and, more importantly, the sheet thickness distribution in the complex liquid bag.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106894"},"PeriodicalIF":3.0,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1016/j.compfluid.2025.106891
Toru Yamada , Ryuga Sumi , Yohei Morinishi
This study presents the application of a direct Poisson solver combining domain decomposition and influence matrix methods to the direct numerical simulation (DNS) of oscillating grid turbulence (OGT). Solving the pressure Poisson equation is one of the major challenges in computational fluid dynamics. Traditional direct methods are accurate but difficult to be applied to large-scale problems, while iterative methods can suffer from slow convergence. The hybrid approach enables the use of the direct methods for the problem with complex computational geometry. The results show that this direct solver significantly reduces computation time compared to the iterative BiCGSTAB method. The DNS results are validated by comparison of experimental data, demonstrating good agreement in the vertical distribution of velocity fluctuation intensity. Therefore, the efficiency of this direct method for simulating the OGT turbulent flows is confirmed.
{"title":"Direct Poisson solver combining domain decomposition and influence matrix methods and its application to DNS of oscillating grid turbulence","authors":"Toru Yamada , Ryuga Sumi , Yohei Morinishi","doi":"10.1016/j.compfluid.2025.106891","DOIUrl":"10.1016/j.compfluid.2025.106891","url":null,"abstract":"<div><div>This study presents the application of a direct Poisson solver combining domain decomposition and influence matrix methods to the direct numerical simulation (DNS) of oscillating grid turbulence (OGT). Solving the pressure Poisson equation is one of the major challenges in computational fluid dynamics. Traditional direct methods are accurate but difficult to be applied to large-scale problems, while iterative methods can suffer from slow convergence. The hybrid approach enables the use of the direct methods for the problem with complex computational geometry. The results show that this direct solver significantly reduces computation time compared to the iterative BiCGSTAB method. The DNS results are validated by comparison of experimental data, demonstrating good agreement in the vertical distribution of velocity fluctuation intensity. Therefore, the efficiency of this direct method for simulating the OGT turbulent flows is confirmed.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"305 ","pages":"Article 106891"},"PeriodicalIF":3.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145479252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-30DOI: 10.1016/j.compfluid.2025.106887
Mirco Ciallella , Julian Koellermeier
Shallow water moment equations are reduced-order models for free-surface flows that allow to represent vertical variations of the velocity profile at the expense of additional evolution equations for a number of additional variables, so called moments. This introduces non-linear non-conservative products in the system, which make the analytical characterization of steady states much harder if not impossible. The lack of analytical steady states poses a challenge for the design of well-balanced schemes, which aim at preserving such steady states as crucial in many applications.
In this work, we present a family of fully approximately well-balanced, high-order WENO finite volume methods for general hyperbolic balance laws with non-conservative products like the shallow water moment equations, for which no analytical steady states are available. The schemes are based on the flux globalization approach, in which both source terms and non-conservative products are integrated with a tailored high order quadrature in the divergence term. The resulting global flux is then reconstructed instead of the conservative variables to preserve all steady states. Numerical tests show the optimal convergence of the method and a significant error reduction for steady state solutions. Furthermore, we provide a numerical comparison of perturbed steady states for different families of shallow water moment equations, which illustrates the flexibility of our method that is valid for general equations without prior knowledge of steady states.
{"title":"High order global flux schemes for general steady state preservation of shallow water moment equations with non-conservative products","authors":"Mirco Ciallella , Julian Koellermeier","doi":"10.1016/j.compfluid.2025.106887","DOIUrl":"10.1016/j.compfluid.2025.106887","url":null,"abstract":"<div><div>Shallow water moment equations are reduced-order models for free-surface flows that allow to represent vertical variations of the velocity profile at the expense of additional evolution equations for a number of additional variables, so called moments. This introduces non-linear non-conservative products in the system, which make the analytical characterization of steady states much harder if not impossible. The lack of analytical steady states poses a challenge for the design of well-balanced schemes, which aim at preserving such steady states as crucial in many applications.</div><div>In this work, we present a family of fully approximately well-balanced, high-order WENO finite volume methods for general hyperbolic balance laws with non-conservative products like the shallow water moment equations, for which no analytical steady states are available. The schemes are based on the flux globalization approach, in which both source terms and non-conservative products are integrated with a tailored high order quadrature in the divergence term. The resulting global flux is then reconstructed instead of the conservative variables to preserve all steady states. Numerical tests show the optimal convergence of the method and a significant error reduction for steady state solutions. Furthermore, we provide a numerical comparison of perturbed steady states for different families of shallow water moment equations, which illustrates the flexibility of our method that is valid for general equations without prior knowledge of steady states.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"305 ","pages":"Article 106887"},"PeriodicalIF":3.0,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145518579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-26DOI: 10.1016/j.compfluid.2025.106889
Adil Fahsi , Azzeddine Soulaïmani
We present a second-order semi-implicit time integration scheme for modeling surface tension in capillary-dominated two-phase flows, implemented within a two-dimensional XFEM/level set framework. Traditional explicit methods are constrained by the capillary time-step, requiring prohibitively small increments and leading to long simulations and error accumulation. Semi-implicit strategies relax this limitation by introducing a Laplace-Beltrami operator that acts as a numerical interface viscosity, damping high-frequency interfacial modes and thereby improving stability. While this stabilizing dissipation enables larger time-steps and suppresses spurious currents, it also introduces artificial damping that may distort interfacial dynamics. Our proposed BDF2 formulation reduces this dissipation by a factor of two-thirds compared with the classical first-order variant, thus enhancing fidelity without sacrificing stability. The method is validated on three two-dimensional benchmarks: a static bubble, a rising bubble, and an oscillating bubble demonstrating robust convergence to theoretical and reference solutions. Results confirm that the second-order semi-implicit scheme achieves genuine second-order temporal accuracy with improved efficiency, making it suitable for high-fidelity simulations of capillary-driven two-phase flows.
{"title":"A semi-implicit, second-order time-integration scheme for surface tension modeling in two-dimensional capillary-dominated two-phase flows","authors":"Adil Fahsi , Azzeddine Soulaïmani","doi":"10.1016/j.compfluid.2025.106889","DOIUrl":"10.1016/j.compfluid.2025.106889","url":null,"abstract":"<div><div>We present a second-order semi-implicit time integration scheme for modeling surface tension in capillary-dominated two-phase flows, implemented within a two-dimensional XFEM/level set framework. Traditional explicit methods are constrained by the capillary time-step, requiring prohibitively small increments and leading to long simulations and error accumulation. Semi-implicit strategies relax this limitation by introducing a Laplace-Beltrami operator that acts as a numerical interface viscosity, damping high-frequency interfacial modes and thereby improving stability. While this stabilizing dissipation enables larger time-steps and suppresses spurious currents, it also introduces artificial damping that may distort interfacial dynamics. Our proposed BDF2 formulation reduces this dissipation by a factor of two-thirds compared with the classical first-order variant, thus enhancing fidelity without sacrificing stability. The method is validated on three two-dimensional benchmarks: a static bubble, a rising bubble, and an oscillating bubble demonstrating robust convergence to theoretical and reference solutions. Results confirm that the second-order semi-implicit scheme achieves genuine second-order temporal accuracy with improved efficiency, making it suitable for high-fidelity simulations of capillary-driven two-phase flows.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106889"},"PeriodicalIF":3.0,"publicationDate":"2025-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-25DOI: 10.1016/j.compfluid.2025.106884
Igor Gildas Metcheka Kengne , Vincent Delmas , Azzeddine Soulaïmani
This paper presents an effective methodology for the automatic calibration of Manning’s roughness coefficients, which are crucial parameters for modeling shallow free-surface flows. Traditionally determined through empirical methods, these coefficients are subject to significant variability, making their determination challenging, especially in flow areas with complex bathymetry. The conventional trial-and-error approach, widely used to select these coefficients, is often tedious and time-consuming, particularly in applications constrained by time and data availability. The proposed methodology aims to determine the optimal values of Manning’s coefficients distributed over the flow domain while minimizing global discrepancies between simulations and field measurements. The calibration approach is formulated as an inverse optimization problem and addressed using metaheuristic optimization algorithms such as the Genetic Algorithm or Particle Swarm Optimization, combined with an ensemble model of deep neural networks. The database for training the neural networks is obtained using a newly developed finite volume-based shallow-water equations solver, parallelized on multiple GPUs, to generate large datasets of solutions for machine learning purposes. The performance of this approach is evaluated through various flow scenarios. Compared to conventional techniques, this methodology stands out for its simplicity, computational efficiency, and robustness. Additionally, Hybrid Particle Swarm Optimization (HPSO) proves to be particularly effective, notably for its speed. The developed codes are available at: https://github.com/ETS-GRANIT/CuteFlow.
{"title":"Calibration of Manning’s roughness coefficients for shallow-water flows on complex bathymetries using optimization algorithms and surrogate neural network models","authors":"Igor Gildas Metcheka Kengne , Vincent Delmas , Azzeddine Soulaïmani","doi":"10.1016/j.compfluid.2025.106884","DOIUrl":"10.1016/j.compfluid.2025.106884","url":null,"abstract":"<div><div>This paper presents an effective methodology for the automatic calibration of Manning’s roughness coefficients, which are crucial parameters for modeling shallow free-surface flows. Traditionally determined through empirical methods, these coefficients are subject to significant variability, making their determination challenging, especially in flow areas with complex bathymetry. The conventional trial-and-error approach, widely used to select these coefficients, is often tedious and time-consuming, particularly in applications constrained by time and data availability. The proposed methodology aims to determine the optimal values of Manning’s coefficients distributed over the flow domain while minimizing global discrepancies between simulations and field measurements. The calibration approach is formulated as an inverse optimization problem and addressed using metaheuristic optimization algorithms such as the Genetic Algorithm or Particle Swarm Optimization, combined with an ensemble model of deep neural networks. The database for training the neural networks is obtained using a newly developed finite volume-based shallow-water equations solver, parallelized on multiple GPUs, to generate large datasets of solutions for machine learning purposes. The performance of this approach is evaluated through various flow scenarios. Compared to conventional techniques, this methodology stands out for its simplicity, computational efficiency, and robustness. Additionally, Hybrid Particle Swarm Optimization (HPSO) proves to be particularly effective, notably for its speed. The developed codes are available at: <span><span>https://github.com/ETS-GRANIT/CuteFlow</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106884"},"PeriodicalIF":3.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-25DOI: 10.1016/j.compfluid.2025.106885
Janina Bender , Thomas Izgin , Philipp Öffner , Davide Torlo
For hyperbolic conservation laws, the famous Lax–Wendroff theorem delivers sufficient conditions for the limit of a convergent numerical method to be a weak (entropy) solution. This theorem is a fundamental result, and many investigations have been done to verify its validity for finite difference, finite volume, and finite element schemes, using either explicit or implicit linear time-integration methods.
Recently, the use of modified Patankar (MP) schemes as time-integration methods for the discretization of hyperbolic conservation laws has gained increasing interest. These schemes are unconditionally conservative and positivity-preserving and only require the solution of a linear system. However, MP schemes are by construction nonlinear, which is why the theoretical investigation of these schemes is more involved. We prove an extension of the Lax–Wendroff theorem for the class of MP methods. This is the first extension of the Lax–Wendroff theorem to nonlinear time integration methods with just an additional hypothesis on the total time variation boundedness of the numerical solutions. We provide some numerical simulations that validate the theoretical observations.
{"title":"The Lax–Wendroff theorem for Patankar-type methods applied to hyperbolic conservation laws","authors":"Janina Bender , Thomas Izgin , Philipp Öffner , Davide Torlo","doi":"10.1016/j.compfluid.2025.106885","DOIUrl":"10.1016/j.compfluid.2025.106885","url":null,"abstract":"<div><div>For hyperbolic conservation laws, the famous Lax–Wendroff theorem delivers sufficient conditions for the limit of a convergent numerical method to be a weak (entropy) solution. This theorem is a fundamental result, and many investigations have been done to verify its validity for finite difference, finite volume, and finite element schemes, using either explicit or implicit linear time-integration methods.</div><div>Recently, the use of modified Patankar (MP) schemes as time-integration methods for the discretization of hyperbolic conservation laws has gained increasing interest. These schemes are unconditionally conservative and positivity-preserving and only require the solution of a linear system. However, MP schemes are by construction nonlinear, which is why the theoretical investigation of these schemes is more involved. We prove an extension of the Lax–Wendroff theorem for the class of MP methods. This is the first extension of the Lax–Wendroff theorem to nonlinear time integration methods with just an additional hypothesis on the total time variation boundedness of the numerical solutions. We provide some numerical simulations that validate the theoretical observations.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106885"},"PeriodicalIF":3.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145414644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-24DOI: 10.1016/j.compfluid.2025.106877
Spencer H. Bryngelson
Ensemble-averaged polydisperse bubbly flow models require statistical moments of the evolving bubble size distribution. Under step forcing, these moments reach statistical equilibrium in finite time. However, the transitional phase before equilibrium and cases with time-dependent forcing are required to predict flow in engineering applications. Computing these moments is expensive because the integrands are highly oscillatory, even when the bubble dynamics are linear. Ensemble-averaged models compute these moments at each grid point and time step, making cost reduction important for large-scale bubbly flow simulations. Traditional methods evaluate the integrals via traditional quadrature rules. This approach requires a large number of quadrature nodes in the equilibrium bubble size, each equipped with its own advection partial differential equation (PDE), resulting in significant computational expense. We formulate a Levin collocation method to reduce this cost. Given the differential equation associated with the integrand, or moment, the method approximates it by evaluating its derivative via polynomial collocation. The differential matrix and amplitude function are well-suited to numerical differentiation via collocation, and so the computation is comparatively cheap. For an example excited polydisperse bubble population, the first moment is computed with the presented method at relative error with 100 times fewer quadrature nodes than the trapezoidal rule. The gap increases for smaller target relative errors: the Levin method requires times fewer points for a relative error of . The formulated method maintains constant cost as the integrands become more oscillatory with time, making it particularly attractive for long-time simulations. Mechanistically, the transient behavior of the moments is set by two effects: resonance detuning across bubble sizes, which causes phase mixing of oscillations, and viscous damping, which removes radial kinetic energy. The proposed formulation isolates the oscillations while keeping the remaining terms smooth, so accuracy does not deteriorate at late times.
{"title":"Fast integration method for averaging polydisperse bubble population dynamics","authors":"Spencer H. Bryngelson","doi":"10.1016/j.compfluid.2025.106877","DOIUrl":"10.1016/j.compfluid.2025.106877","url":null,"abstract":"<div><div>Ensemble-averaged polydisperse bubbly flow models require statistical moments of the evolving bubble size distribution. Under step forcing, these moments reach statistical equilibrium in finite time. However, the transitional phase before equilibrium and cases with time-dependent forcing are required to predict flow in engineering applications. Computing these moments is expensive because the integrands are highly oscillatory, even when the bubble dynamics are linear. Ensemble-averaged models compute these moments at each grid point and time step, making cost reduction important for large-scale bubbly flow simulations. Traditional methods evaluate the integrals via traditional quadrature rules. This approach requires a large number of quadrature nodes in the equilibrium bubble size, each equipped with its own advection partial differential equation (PDE), resulting in significant computational expense. We formulate a Levin collocation method to reduce this cost. Given the differential equation associated with the integrand, or moment, the method approximates it by evaluating its derivative via polynomial collocation. The differential matrix and amplitude function are well-suited to numerical differentiation via collocation, and so the computation is comparatively cheap. For an example excited polydisperse bubble population, the first moment is computed with the presented method at <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span> relative error with 100 times fewer quadrature nodes than the trapezoidal rule. The gap increases for smaller target relative errors: the Levin method requires <span><math><msup><mn>10</mn><mn>4</mn></msup></math></span> times fewer points for a relative error of <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>8</mn></mrow></msup></math></span>. The formulated method maintains constant cost as the integrands become more oscillatory with time, making it particularly attractive for long-time simulations. Mechanistically, the transient behavior of the moments is set by two effects: resonance detuning across bubble sizes, which causes phase mixing of oscillations, and viscous damping, which removes radial kinetic energy. The proposed formulation isolates the oscillations while keeping the remaining terms smooth, so accuracy does not deteriorate at late times.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106877"},"PeriodicalIF":3.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145414646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-24DOI: 10.1016/j.compfluid.2025.106883
S. Bennie , M. Fossati
Presented in the following work is a comprehensive analysis of wake vortex encounters with residential structures. From the results of high fidelity LES simulations, the dynamics and underlying flow structures which govern these potentially damaging encounters have been identified. Through evaluation of the pressure loads transmitted to the roof surface, the potential for damage to occur to a residential structure as a result of wake vortex exposure has been evaluated for a variety of cases. Regarding the building’s design, structures possessing larger pitch angles and thus steeper roofs have been found to sustain the largest peak loads for their encounter with an identical wake vortex system as compared to their flatter roofed counterparts. Similarly, upon assessing the effect of the environmental conditions it was observed that for increasingly turbulent atmospheres, the wake vortex encounter would occur sooner and with a reduced intensity compared to more neutral conditions. These behaviours have been attributed to the effects of secondary flow structures formed from the shedding of vorticity from the building surface or from wake vortex interactions with the eddies that comprise the atmospheric environment. These secondary flow structures energise wake vortex instability mechanisms thus leading to the variations in pressure loads sustained by the roof. With respect to the impact orientation, we note that there exists a minimal difference on the pressure loads generated during a wake vortex encounter for small angular offsets up to .
{"title":"Aircraft wake vortex encounters with residential structures","authors":"S. Bennie , M. Fossati","doi":"10.1016/j.compfluid.2025.106883","DOIUrl":"10.1016/j.compfluid.2025.106883","url":null,"abstract":"<div><div>Presented in the following work is a comprehensive analysis of wake vortex encounters with residential structures. From the results of high fidelity LES simulations, the dynamics and underlying flow structures which govern these potentially damaging encounters have been identified. Through evaluation of the pressure loads transmitted to the roof surface, the potential for damage to occur to a residential structure as a result of wake vortex exposure has been evaluated for a variety of cases. Regarding the building’s design, structures possessing larger pitch angles and thus steeper roofs have been found to sustain the largest peak loads for their encounter with an identical wake vortex system as compared to their flatter roofed counterparts. Similarly, upon assessing the effect of the environmental conditions it was observed that for increasingly turbulent atmospheres, the wake vortex encounter would occur sooner and with a reduced intensity compared to more neutral conditions. These behaviours have been attributed to the effects of secondary flow structures formed from the shedding of vorticity from the building surface or from wake vortex interactions with the eddies that comprise the atmospheric environment. These secondary flow structures energise wake vortex instability mechanisms thus leading to the variations in pressure loads sustained by the roof. With respect to the impact orientation, we note that there exists a minimal difference on the pressure loads generated during a wake vortex encounter for small angular offsets up to <span><math><msup><mn>20</mn><mo>∘</mo></msup></math></span>.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106883"},"PeriodicalIF":3.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-22DOI: 10.1016/j.compfluid.2025.106882
Alex Kleb, Krzysztof J. Fidkowski, Joaquim R.R.A. Martins
Computational fluid dynamics is essential for designing aircraft, turbines, and other engineering systems. However, generating suitable computational meshes for complex geometries remains the primary bottleneck in analysis workflows, often requiring days of manual effort. Traditional boundary-conforming meshes excel at capturing near-wall physics in viscous flows but demand specialized expertise and extensive preprocessing time. Cartesian cut-cell methods provide automatic mesh generation for complex geometries in minutes, yet they struggle with high Reynolds number viscous flows where boundary layers exhibit rapid velocity changes that require prohibitively fine resolution for isotropic elements. The fundamental challenge is accurately modeling boundary layer physics on automatically generated meshes without sacrificing the computational efficiency that makes such methods attractive. In this work, we show that an ordinary differential equation (ODE) wall function incorporating pressure-momentum balance enables accurate high Reynolds number viscous flow predictions on coarse Cartesian cut-cell meshes. Our approach solves a one-dimensional boundary value problem at each wall boundary face that accounts for the transition from the viscous dominated near-wall region to the inviscid wake region, allowing forcing points to operate effectively at . Unlike traditional wall functions, the ODE is not limited to the logarithmic layer and maintains accuracy in strong pressure gradient environments typical of aerodynamic applications. The ODE can achieve correct skin friction predictions on meshes more than four times coarser than analytical wall functions require. The ODE wall functions are solved with a robust Newton–Krylov implementation that utilizes adaptive mesh refinement. It converges reliably across diverse flow conditions while solving hundreds of degrees of freedom in fewer than ten linear iterations. These results demonstrate that automatic high-fidelity viscous flow analysis is achievable without manual mesh generation expertise.
{"title":"Solving high Reynolds number flows on Cartesian cut-cell meshes using an ODE wall function with momentum balance","authors":"Alex Kleb, Krzysztof J. Fidkowski, Joaquim R.R.A. Martins","doi":"10.1016/j.compfluid.2025.106882","DOIUrl":"10.1016/j.compfluid.2025.106882","url":null,"abstract":"<div><div>Computational fluid dynamics is essential for designing aircraft, turbines, and other engineering systems. However, generating suitable computational meshes for complex geometries remains the primary bottleneck in analysis workflows, often requiring days of manual effort. Traditional boundary-conforming meshes excel at capturing near-wall physics in viscous flows but demand specialized expertise and extensive preprocessing time. Cartesian cut-cell methods provide automatic mesh generation for complex geometries in minutes, yet they struggle with high Reynolds number viscous flows where boundary layers exhibit rapid velocity changes that require prohibitively fine resolution for isotropic elements. The fundamental challenge is accurately modeling boundary layer physics on automatically generated meshes without sacrificing the computational efficiency that makes such methods attractive. In this work, we show that an ordinary differential equation (ODE) wall function incorporating pressure-momentum balance enables accurate high Reynolds number viscous flow predictions on coarse Cartesian cut-cell meshes. Our approach solves a one-dimensional boundary value problem at each wall boundary face that accounts for the transition from the viscous dominated near-wall region to the inviscid wake region, allowing forcing points to operate effectively at <span><math><mrow><msup><mi>y</mi><mo>+</mo></msup><mo>></mo><mn>600</mn></mrow></math></span>. Unlike traditional wall functions, the ODE is not limited to the logarithmic layer and maintains accuracy in strong pressure gradient environments typical of aerodynamic applications. The ODE can achieve correct skin friction predictions on meshes more than four times coarser than analytical wall functions require. The ODE wall functions are solved with a robust Newton–Krylov implementation that utilizes adaptive mesh refinement. It converges reliably across diverse flow conditions while solving hundreds of degrees of freedom in fewer than ten linear iterations. These results demonstrate that automatic high-fidelity viscous flow analysis is achievable without manual mesh generation expertise.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106882"},"PeriodicalIF":3.0,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145414647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-20DOI: 10.1016/j.compfluid.2025.106880
Niccolò Tonicello , Guido Lodato , Matthias Ihme
The present work focuses on the extension of the Spectral Difference (SD) scheme to the five-equation Baer-Nunziato model for the simulation of immiscible compressible fluids. This five-equation model is augmented with the Allen-Cahn regularisation to avoid both over-diffusion and over-thinning of the phase field representing the interface. In order to preserve contact discontinuities, in the reconstruction step of the SD scheme, a change of variables from conservative to primitive is used. This approach is shown to be beneficial in avoiding pressure oscillations at material interfaces. An extensive series of numerical tests, considering both two- and three-dimensional problems, are performed to assess accuracy and robustness of the present method. Specifically, both laminar and turbulent flows, as well as low-Mach and highly compressible flows, are considered, including cases with and without surface tension. The proposed change of variables is shown to improve the stability of the scheme, significantly reducing pressure oscillations at the material interfaces. This improved robustness enables the method to achieve accurate and stable solutions across a broad range of flow conditions.
{"title":"Extension of a spectral difference method for the diffused-interface five-equation model","authors":"Niccolò Tonicello , Guido Lodato , Matthias Ihme","doi":"10.1016/j.compfluid.2025.106880","DOIUrl":"10.1016/j.compfluid.2025.106880","url":null,"abstract":"<div><div>The present work focuses on the extension of the Spectral Difference (SD) scheme to the five-equation Baer-Nunziato model for the simulation of immiscible compressible fluids. This five-equation model is augmented with the Allen-Cahn regularisation to avoid both over-diffusion and over-thinning of the phase field representing the interface. In order to preserve contact discontinuities, in the reconstruction step of the SD scheme, a change of variables from conservative to primitive is used. This approach is shown to be beneficial in avoiding pressure oscillations at material interfaces. An extensive series of numerical tests, considering both two- and three-dimensional problems, are performed to assess accuracy and robustness of the present method. Specifically, both laminar and turbulent flows, as well as low-Mach and highly compressible flows, are considered, including cases with and without surface tension. The proposed change of variables is shown to improve the stability of the scheme, significantly reducing pressure oscillations at the material interfaces. This improved robustness enables the method to achieve accurate and stable solutions across a broad range of flow conditions.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"304 ","pages":"Article 106880"},"PeriodicalIF":3.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145414645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}