The design of rotor blades is based on information about aerodynamic phenomena. An important one is fluid-structure interaction (FSI) which describes the interaction between a flexible object (rotor blade) and the sur...
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The design of rotor blades is based on information about aerodynamic phenomena. An important one is fluid-structure interaction (FSI) which describes the interaction between a flexible object (rotor blade) and the surrounding fluid (wind). However, the acquisition of FSI is complex, and only a few practical concepts are known. This paper presents a measurement setup to acquire real information about the FSI of rotating wind turbines in wind tunnel experiments. The setup consists of two optical measurement systems to simultaneously record fluid (PIV system) and deformation (photogrammetry system) information in one global coordinate system. Techniques to combine both systems temporally and spatially are discussed in this paper. Furthermore, the successful application is shown by several experiments. Here, different wind conditions are applied. The experiments show that the new setup can acquire high-quality area-based information about fluid and deformation.
Objective: To explore the role of hemodynamic factors in the occurrence of superior mesenteric artery (SMA) dissection (SMAD) using a fluid-structure interaction (FSI) simulation method, and to identify histopathologi...
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Objective: To explore the role of hemodynamic factors in the occurrence of superior mesenteric artery (SMA) dissection (SMAD) using a fluid-structure interaction (FSI) simulation method, and to identify histopathologic changes occurring in the wall of the SMA. Methods: A total of 122 consecutive patients diagnosed with SMAD and 122 controls were included in this study. Hemodynamic factors were calculated using a FSI simulation method. Additionally, SMA spec-imens obtained from 12 cadavers were stained for histological quantitative ***: The mean aortomesenteric angle (59.7 degrees +/- 21.4 degrees vs 48.2 degrees +/- 16.8 degrees;p < .001) and SMA maximum curvature (0.084 +/- 0.078 mm-1 vs 0.032 +/- 0.023 mm -1;p < .001) were higher in SMAD patients than the controls. Larger aortomesenteric angles and SMA curvatures were associated with higher and more concentrated wall shear stress at anterior wall of the SMA curve segment, co-located with the dissec-tion origins. The mean thickness of media (325.18 +/- 44.87 mu m vs 556.92 +/- 138.32 mu m;p = .003) was thinner in the anterior wall of the SMA curve than in the posterior wall. The area fractions of elastin (17.96% +/- 3.36% vs 27.06% +/- 4.18%;p = .002) and collagen (45.43% +/- 6.89% vs 55.57% +/- 7.57%;p = .036) were lower in anterior wall of the SMA curve than in posterior ***: Increased aortomesenteric angle and SMA curvature are risk factors for SMAD. Both of these factors can cause local hemodynamic abnormalities, which can lead to histopathologic changes in anterior wall of SMA.(c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://***/licenses/by-nc-nd/4.0/ )
The paper presents the multidisciplinary design optimization (MDO) of a deep-V planing-hull grillage panel subject to slamming loads in regular waves. Namely, fluidstructureinteraction (FSI) experiments, computation...
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The paper presents the multidisciplinary design optimization (MDO) of a deep-V planing-hull grillage panel subject to slamming loads in regular waves. Namely, fluidstructureinteraction (FSI) experiments, computations, and MDO are presented and discussed for a bottom-panel grillage of a high-speed Generic Prismatic Planing Hull in regular waves. Computations are per-formed via one-and tightly coupled two-way computational fluid and structural dynamics (CFD/ CSD) using unsteady Reynolds-averaged Navier-Stokes equation solvers to compute the hydro-dynamic loads. The structural assessment of the original/traditional grillage is performed using a fully parametric finite element (FE) model, showing the significant effects of the FE boundary conditions on the structural response. Firstly, an equivalent static and uniform load is identified via CFD and applied during optimization using two design spaces. The selected optimized design provides a grillage-weight reduction of 35% and an overall factor of safety equal to 1.72. The optimized design presents variations of stiffeners dimensions across the grillage with the largest stiffener at the middle, distributing the stress more uniformly among the stiffeners. The effects of one-versus two-way coupling are negligible for both the original/traditional and optimized grillages (as per the hydroelasticity factor R), whereas the effects of FE boundary conditions on the analysis and optimization outcomes are significant, confirming the need for proper calibration of the FE model in FSI and MDO studies. Secondly, MDO is performed with a dynamic load applied via one-way coupling FSI. An additional 5% weight reduction is identified, achieving a 40% weight reduction compared to the traditional grillage. The optimal design presents the largest stiffener close to the keel, which is significantly different than the design obtained for uniform/static load. Comparison of computational and experimental data is very good, indicating that th
Background and objectives: The aorta serves as the main tube of the human blood circulation system. Energy loss (EL) occurs when blood flows through the aorta and there may be a potential correlation between EL and ao...
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Background and objectives: The aorta serves as the main tube of the human blood circulation system. Energy loss (EL) occurs when blood flows through the aorta and there may be a potential correlation between EL and aortic diseases. However, the components of blood flow EL are still not fully understood. This study aims to quantitatively reveal the EL components in healthy and diseased aortas. Methods: We construct an idealized healthy aorta and three idealized representative diseased aortas: aortic aneurysm, coarctation of the aorta, and aortic dissection. Computational hemodynamic studies are carried out by using the fluid-structure interaction simulation framework. Results: Four kinds of EL components: viscous friction, turbulence dissipation, wall deformation, and local lesion are firstly acquired in healthy and diseased aortas based on the high-resolution blood flow information. Viscous friction contributes most to the EL (45.69%-57.22%). EL caused by the deformation of the aortic wall ranks second (15.18%-33.12%). The proportions of turbulence dissipation and local lesion depend on individual geometric characteristics. Besides, the buffering efficiency of the healthy and diseased aorta is about 80%. Conclusions: This study quantitatively reports the components of blood flow EL in healthy and diseased aortas, the finding may provide novel insights into the pathogenesis of aortic diseases. (C) 2022 Published by Elsevier B.V.
The multi-resolution method, e.g., the Adaptive Particle Refinement (APR) method, has been developed to increase the local particle resolution and therefore the solution quality within a pre-defined refinement zone in...
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The multi-resolution method, e.g., the Adaptive Particle Refinement (APR) method, has been developed to increase the local particle resolution and therefore the solution quality within a pre-defined refinement zone instead of using a globally uniform resolution for Smoothed Particle Hydrodynamics (SPH). However, sometimes, the targeted zone of interest can be varying, and the corresponding topology is very complex, thus the conventional APR method is not able to track these characteristics adaptively. In this study, a novel Block-based Adaptive Particle Refinement (BAPR) method is developed, which is able to provide the necessary local refinement flexibly for any targeted characteristic, and track it adaptively. In BAPR, the so-called activation status of the block array defines the refinement regions, where the transition and activated zones are determined accordingly. A regularization method for the generated particles in the newly activated blocks is developed to render an isotropic distribution of these new particles. The proposed method has been deployed for simulating fluid-structure interaction
This paper established a novel Riemann SPH-RKPM fluid-structure interaction numerical model, which is more stable and has lower dissipation than the traditional method. Firstly, an improved dissipation limiter is prop...
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This paper established a novel Riemann SPH-RKPM fluid-structure interaction numerical model, which is more stable and has lower dissipation than the traditional method. Firstly, an improved dissipation limiter is proposed and applied to Riemann SPH to simulate fluid motion, effectively reducing dissipation while ensuring computational stability. Secondly, an improved method to treat the fluid-structure interaction (FSI) force is proposed, which introduces the Riemann solver into the normal flux method to solve the FSI force. This improvement ensures the smoothness of the flow field pressure at the fluid-structure interface and then improves the stability of the violent impact fluid-structure interaction problem. This paper used the RKPM to solve the large deformation of the structure. Several benchmark tests and one improved example are used to verify the convergence and accuracy of the numerical model. The results calculated in this paper agree with experiment and other numerical methods, proving that the Riemann SPH-RKPM fluid-structure interaction numerical model is effective and has high accuracy.
A three-dimensional(3D) embedded Eulerian-Lagrangian method is proposed to simulate the 3D fluid-structure interaction(FSI) problems subjected to explosion and impact loading. This method achieves a high-quality calcu...
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A three-dimensional(3D) embedded Eulerian-Lagrangian method is proposed to simulate the 3D fluid-structure interaction(FSI) problems subjected to explosion and impact loading. This method achieves a high-quality calculation of fluid and structure deformation by adding Lagrangian particles to Eulerian grids. The overall computational domain is solved by the Eulerian method, and the Lagrangian particles with specified volume and influence domains are used to track structural deformations. The bidirectional mapping of physical quantities is achieved using the weighted average of the influence domain, which are based on the topological relationship between Eulerian grids and Lagrangian particles. Then, the data dependence solution and parallel algorithm realization are presented for the large-scale numerical calculations of explosion and impact problems. Additionally, the corresponding parallel program is developed based on the message passing interface(MPI) standard, and the parallel efficiency of parallel hydrocode are tested. The numerical results of typical explosion and impact problems are compared with corresponding experimental data to verify the effectiveness of the method. These comparisons show that the embedded EulerianLagrangian method successfully combine the advantages of both the Eulerian and Lagrangian methods to efficiently calculate the processes of large deformation and dynamic damage to the materials. The results presented in this work provide a useful reference point for further research on explosion and impact problems.
A monolithic numerical scheme for fluid-structure interaction with special interest in thin-walled piezoelectric energy harvesters driven by fluid is proposed. Employing a beam/shell model for the thin-walled structur...
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A monolithic numerical scheme for fluid-structure interaction with special interest in thin-walled piezoelectric energy harvesters driven by fluid is proposed. Employing a beam/shell model for the thin-walled structure in this particular application creates a FSI problem in which an (n-1)-dimensional structure is embedded in an n dimensional fluid flow. This choice induces a strongly discontinuous pressure field along the moving fluid-solid interface. We overcome this challenge within a continuous finite element framework by a splitting-fluid-domain approach. The governing equations of the multiphysics problem are solved in a simultaneous fashion in order to reliably capture the main dynamic characteristics of the strongly-coupled system that involves a large deformation piezoelectric composite structure, an integrated electric circuit and an incompressible viscous fluid. The monolithic solution scheme is based on the weighted residuals method, with the boundary-fitted finite element method used for the discretization in space, and the generalized-? method for discretization in time. The proposed framework is evaluated against reference data of two popular FSI benchmark problems. Two additional numerical examples of flow-driven thin-walled piezoelectric energy harvesters demonstrate the feasibility of the framework to predict controlled cyclic response and limit-cycle oscillations and thus the power output in typical operational states of this class of energy harvesting devices.
Strongly coupled immersed boundary (IB) methods solve the nonlinear fluid and structural equations of motion simultaneously for strongly enforcing the no-slip constraint on the body. Handling this constraint requires ...
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Strongly coupled immersed boundary (IB) methods solve the nonlinear fluid and structural equations of motion simultaneously for strongly enforcing the no-slip constraint on the body. Handling this constraint requires solving several large dimensional systems that scale by the number of grid points in the flow domain even though the nonlinear constraints scale only by the small number of points used to represent the fluid-structure interface. These costly large scale operations for determining only a small number of unknowns at the interface creates a bottleneck to efficiently time-advancing strongly coupled IB methods. In this manuscript, we present a remedy for this bottleneck that is motivated by the efficient strategy employed in stationary-body IB methods while preserving the favorable stability properties of strongly coupled algorithms-we precompute a matrix that encapsulates the large dimensional system so that the prohibitive large scale operations need not be performed at every time step. This precomputation process yields a modified system of small-dimensional constraint equations that is solved at minimal computational cost while time advancing the equations. We also present a parallel implementation that scales favorably across multiple processors. The accuracy, computational efficiency and scalability of our approach are demonstrated on several two dimensional flow problems. Although the demonstration problems consist of a combination of rigid and torsionally mounted bodies, the formulation is derived in a more general setting involving an arbitrary number of rigid, torsionally mounted, and continuously deformable bodies. (C) 2021 Elsevier Inc. All rights reserved.
Traumatic brain injury is a leading cause of disability and mortality. Finite element-based head models are promising tools for enhanced head injury prediction, mitigation and prevention. The reliability of such model...
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Traumatic brain injury is a leading cause of disability and mortality. Finite element-based head models are promising tools for enhanced head injury prediction, mitigation and prevention. The reliability of such models depends heavily on adequate representation of the brain-skull interaction. Nevertheless, the brain-skull interface has been largely simplified in previous three-dimensional head models without accounting for the fluid behaviour of the cerebrospinal fluid (CSF) and its mechanical interaction with the brain and skull. In this study, the brain-skull interface in a previously developed head model is modified as a fluid-structure interaction (FSI) approach, in which the CSF is treated on a moving mesh using an arbitrary Lagrangian-Eulerian multi-material formulation and the brain on a deformable mesh using a Lagrangian formulation. The modified model is validated against brain-skull relative displacement and intracranial pressure responses and subsequently imposed to an experimentally determined loading known to cause acute subdural haematoma (ASDH). Compared to the original model, the modified model achieves an improved validation performance in terms of brain-skull relative motion and is able to predict the occurrence of ASDH more accurately, indicating the superiority of the FSI approach for brain-skull interface modelling. The introduction of the FSI approach to represent the fluid behaviour of the CSF and its interaction with the brain and skull is crucial for more accurate head injury predictions.
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