A coupled peridynamics–smoothed particle hydrodynamics model for fracture analysis of fluid–structure interactions

Dai, Zili; Xie, Jinwei; Jiang, Mingtao

doi:10.1016/j.oceaneng.2023.114582

Cited by 49 publications

(8 citation statements)

References 61 publications

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“…The results show that the coupled model successfully reproduces the pressure field and structural deformation near the fluid-solid interface. At the same time, the flow state, pressure distribution and structural deformation are consistent with the results of SPH-PD [48][40] [41] simulation and PFEM [49] simulation. Fig.…”

Section: Breaking Dam Impacting On An Elastic Platesupporting

confidence: 80%

“…To demonstrate the effectiveness of the FSI framework proposed in this work for violent free-surface flows interacting with deformable structures, dam-break flows impacting elastic plates have been modeled, which has been extensively simulated as an appropriate benchmark to validate numerical models of FSI problems [40][41] [48] . Fig.…”

Section: Breaking Dam Impacting On An Elastic Platementioning

confidence: 99%

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An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

Wang,

Xiong,

et al. 2024

Preprint

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In order to solve the fluid-structure interaction problem of Newtonian fluid, a fluid-structure interaction approach is proposed based on Non-ordinary State-based Peridynamics (NOSB-PD) and Updated Lagrangian particle Hydrodynamics (ULPH), to simulate the fluid-structure interaction problem in which large geometric deformation and material failure are considered. In the coupled framework, the NOSB-PD theory is used to describe the deformation and fracture of the solid material structure. ULPH is applied to describe the flow of Newtonian fluids due to its advantages in computational accuracy. The framework effectively utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid problems and has good computational stability and robustness. To deal with the interface of fluid structure, a fluid-structure coupling algorithm using pressure as the transmission medium is established. The dynamic model of solid structure and the PD-ULPH fluid-structure interaction model involving large deformation are verified by several numerical validations, which are in good agreement with the analytical solution, the available experimental data and other numerical results, that demonstrates the accuracy and effectiveness of the proposed method in solving the fluid-structure interaction problem. Overall, the fluid-structure interaction model based on ULPH and NOSB-PD established in this paper provides a new idea for the numerical solution of fluid-structure interaction and a promising approach for engineering design and experimental prediction.

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Section: Breaking Dam Impacting On An Elastic Platesupporting

confidence: 80%

Section: Breaking Dam Impacting On An Elastic Platementioning

confidence: 99%

An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

Wang,

Xiong,

et al. 2024

Preprint

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“…It appeared in the pioneering work of Gingold and Monaghan (1977) and Lucy (1977) for applications in astrophysics. Subsequently, the SPH method has been used in diverse fields of physics and engineering, including the study of convection flows (Aly and Raizah, 2020;Shakibaeinia, 2020a, 2020b;Aly et al, 2021), fluid-structure interactions (Xu et al, 2019;Salehizadeh and Shafiei, 2022;Zhang et al, 2022;Dai et al, 2023;Long and Su, 2023), free surface flow (Fang et al, 2006;Violeau and Issa, 2007;Aly et al, 2013;Heydari et al, 2022;Lan et al, 2023), multiphase flows (Hu and Adams, 2006;Zhang et al, 2019;Almasi et al, 2021) and more.…”

Section: Isph Methods and Artificial Intelligencementioning

confidence: 99%

Adjoined ISPH method and artificial intelligence for thermal radiation on double diffusion inside a porous L-shaped cavity with fins

Elshehabey,

Çolak,

Aly

2024

HFF

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Purpose The purpose of this study is to adapt the incompressible smoothed particle hydrodynamics (ISPH) method with artificial intelligence to manage the physical problem of double diffusion inside a porous L-shaped cavity including two fins. Design/methodology/approach The ISPH method solves the nondimensional governing equations of a physical model. The ISPH simulations are attained at different Frank–Kamenetskii number, Darcy number, coupled Soret/Dufour numbers, coupled Cattaneo–Christov heat/mass fluxes, thermal radiation parameter and nanoparticle parameter. An artificial neural network (ANN) is developed using a total of 243 data sets. The data set is optimized as 171 of the data sets were used for training the model, 36 for validation and 36 for the testing phase. The network model was trained using the Levenberg–Marquardt training algorithm. Findings The resulting simulations show how thermal radiation declines the temperature distribution and changes the contour of a heat capacity ratio. The temperature distribution is improved, and the velocity field is decreased by 36.77% when the coupled heat Cattaneo–Christov heat/mass fluxes are increased from 0 to 0.8. The temperature distribution is supported, and the concentration distribution is declined by an increase in Soret–Dufour numbers. A rise in Soret–Dufour numbers corresponds to a decreasing velocity field. The Frank–Kamenetskii number is useful for enhancing the velocity field and temperature distribution. A reduction in Darcy number causes a high porous struggle, which reduces nanofluid velocity and improves temperature and concentration distribution. An increase in nanoparticle concentration causes a high fluid suspension viscosity, which reduces the suspension’s velocity. With the help of the ANN, the obtained model accurately predicts the values of the Nusselt and Sherwood numbers. Originality/value A novel integration between the ISPH method and the ANN is adapted to handle the heat and mass transfer within a new L-shaped geometry with fins in the presence of several physical effects.

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“…Global warming is a phenomenon that is intensifying with the addition of greenhouse gases to the atmosphere [6][7][8][9][10][11]. Among the various greenhouse gases, CO 2 is responsible for about 55 % of global warming and environmental concerns [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Simulation of a Membrane Contactor for CO₂ Separation: Two Types of Membrane Evaluation

Alborzi¹,

Amini

Amirabedi³

et al. 2023

Chem Eng & Technol

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Two different types of hollow‐fiber membrane contactors were used for CO2 separation from the gas stream with monoethanolamine (MEA) absorbent and numerically investigated. After the model validation with experimental data, CO2 removal efficiency, MEA concentration, and pressure drop variation were examined under different conditions by variation of some effective parameters such as gas stream velocity, absorption solution velocity, membrane porosity, and membrane tortuosity. Membrane tortuosity and porosity enhancement led to light decrease and light increase in CO2 removal efficiency, respectively, but gas stream velocity enhancement significantly reduced the CO2 removal efficiency.

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A coupled peridynamics–smoothed particle hydrodynamics model for fracture analysis of fluid–structure interactions

Cited by 49 publications

References 61 publications

An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

Adjoined ISPH method and artificial intelligence for thermal radiation on double diffusion inside a porous L-shaped cavity with fins

Computational Fluid Dynamics Simulation of a Membrane Contactor for CO₂ Separation: Two Types of Membrane Evaluation

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A coupled peridynamics–smoothed particle hydrodynamics model for fracture analysis of fluid–structure interactions

Cited by 49 publications

References 61 publications

An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems

Adjoined ISPH method and artificial intelligence for thermal radiation on double diffusion inside a porous L-shaped cavity with fins

Computational Fluid Dynamics Simulation of a Membrane Contactor for CO2 Separation: Two Types of Membrane Evaluation

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Computational Fluid Dynamics Simulation of a Membrane Contactor for CO₂ Separation: Two Types of Membrane Evaluation