Journal articles on the topic 'Computational fluid-structure interactions'

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1

Takizawa, Kenji, and Tayfun E. Tezduyar. "Computational Methods for Parachute Fluid–Structure Interactions." Archives of Computational Methods in Engineering 19, no. 1 (February 2, 2012): 125–69. http://dx.doi.org/10.1007/s11831-012-9070-4.

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2

Fitzgerald, T., M. Valdez, M. Vanella, E. Balaras, and B. Balachandran. "Flexible flapping systems: computational investigations into fluid-structure interactions." Aeronautical Journal 115, no. 1172 (October 2011): 593–604. http://dx.doi.org/10.1017/s000192400000628x.

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AbstractIn the present work, the authors examine two computational approaches that can be used to study flexible flapping systems. For illustration, a fully coupled interaction of a fluid system with a flapping profile performing harmonic flapping kinematics is studied. In one approach, the fluid model is based on the Navier-Stokes equations for viscous incompressible flow, where all spatio-temporal scales are directly resolved by means of Direct Numerical Simulations (DNS). In the other approach, the fluid model is an inviscid, potential flow model, based on the unsteady vortex lattice method (UVLM). In the UVLM model, the focus is on vortex structures and the fluid dynamics is treated as a vortex kinematics problem, whereas with the DNS model, one is able to form a more detailed picture of the flapping physics. The UVLM based approach, although coarse from a modeling standpoint, is computationally inexpensive compared to the DNS based approach. This comparative study is motivated by the hypothesis that flapping related phenomena are primarily determined by vortex interactions and viscous effects play a secondary role, which could mean that a UVLM based approach could be suitable for design purposes and/or used as a predictive tool. In most of the cases studied, the UVLM based approach produces a good approximation. Apart from aerodynamic load comparisons, features of the system dynamics generated by using the two computational approaches are also compared. The authors also discuss limitations of both approaches.
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3

Toma, Milan, Rosalyn Chan-Akeley, Jonathan Arias, Gregory D. Kurgansky, and Wenbin Mao. "Fluid–Structure Interaction Analyses of Biological Systems Using Smoothed-Particle Hydrodynamics." Biology 10, no. 3 (March 2, 2021): 185. http://dx.doi.org/10.3390/biology10030185.

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Due to the inherent complexity of biological applications that more often than not include fluids and structures interacting together, the development of computational fluid–structure interaction models is necessary to achieve a quantitative understanding of their structure and function in both health and disease. The functions of biological structures usually include their interactions with the surrounding fluids. Hence, we contend that the use of fluid–structure interaction models in computational studies of biological systems is practical, if not necessary. The ultimate goal is to develop computational models to predict human biological processes. These models are meant to guide us through the multitude of possible diseases affecting our organs and lead to more effective methods for disease diagnosis, risk stratification, and therapy. This review paper summarizes computational models that use smoothed-particle hydrodynamics to simulate the fluid–structure interactions in complex biological systems.
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4

Smith, Marilyn J., Dewey H. Hodges, and Carlos E. S. Cesnik. "Evaluation of Computational Algorithms Suitable for Fluid-Structure Interactions." Journal of Aircraft 37, no. 2 (March 2000): 282–94. http://dx.doi.org/10.2514/2.2592.

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5

Huang, Wei-Xi, and Silas Alben. "Fluid–structure interactions with applications to biology." Acta Mechanica Sinica 32, no. 6 (November 2, 2016): 977–79. http://dx.doi.org/10.1007/s10409-016-0608-9.

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6

Abouri, D., A. Parry, A. Hamdouni, and E. Longatte. "A Stable Fluid-Structure-Interaction Algorithm: Application to Industrial Problems." Journal of Pressure Vessel Technology 128, no. 4 (October 19, 2005): 516–24. http://dx.doi.org/10.1115/1.2349560.

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Fluid-structure interactions occur in a wide range of industrial applications, including vibration of pipe-work, flow meters, and positive displacement systems as well as many flow control devices. This paper outlines computational methods for calculating the dynamic interaction between moving parts and the flow in a flow-meter system. Coupling of phenomena is allowed without need for access to the source codes and is thus suitable for use with commercially available codes. Two methods are presented: one with an explicit integration of the equations of motion of the mechanism and the other, with implicit integration. Both methods rely on a Navier-Stokes equation solver for the fluid flow. The more computationally expensive, implicit method is recommended for mathematically stiff mechanisms such as piston movement. Industrial-application examples shown are for positive displacement machines, axial turbines, and steam-generator tube-bundle vibrations. The advances in mesh technology, including deforming meshes with nonconformal sliding interfaces, open up this new field of application of computational fluid dynamics and mechanical analysis in flow meter design.
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7

Benra, Friedrich-Karl, Hans Josef Dohmen, Ji Pei, Sebastian Schuster, and Bo Wan. "A Comparison of One-Way and Two-Way Coupling Methods for Numerical Analysis of Fluid-Structure Interactions." Journal of Applied Mathematics 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/853560.

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The interaction between fluid and structure occurs in a wide range of engineering problems. The solution for such problems is based on the relations of continuum mechanics and is mostly solved with numerical methods. It is a computational challenge to solve such problems because of the complex geometries, intricate physics of fluids, and complicated fluid-structure interactions. The way in which the interaction between fluid and solid is described gives the largest opportunity for reducing the computational effort. One possibility for reducing the computational effort of fluid-structure simulations is the use of one-way coupled simulations. In this paper, different problems are investigated with one-way and two-way coupled methods. After an explanation of the solution strategy for both models, a closer look at the differences between these methods will be provided, and it will be shown under what conditions a one-way coupling solution gives plausible results.
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8

Salman, Huseyin Enes, Cuneyt Sert, and Yigit Yazicioglu. "Computational analysis of high frequency fluid–structure interactions in constricted flow." Computers & Structures 122 (June 2013): 145–54. http://dx.doi.org/10.1016/j.compstruc.2012.12.024.

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9

Tavakoli, Sasan, Luofeng Huang, Fatemeh Azhari, and Alexander V. Babanin. "Viscoelastic Wave–Ice Interactions: A Computational Fluid–Solid Dynamic Approach." Journal of Marine Science and Engineering 10, no. 9 (September 1, 2022): 1220. http://dx.doi.org/10.3390/jmse10091220.

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A computational fluid–solid dynamic model is employed to simulate the interaction between water waves and a consolidated ice cover. The model solves the Navier–Stokes equations for the ocean-wave flow around a solid body, and the solid behavior is formalized by the Maxwell viscoelastic model. Model predictions are compared against experimental flume tests of waves interacting with viscoelastic plates. The decay rate and wave dispersion predicted by the model are shown to be in good agreement with experimental results. Furthermore, the model is scaled, by simulating the wave interaction with an actual sea ice cover formed in the ocean. The scaled decay and dispersion results are found to be still valid in full scale. It is shown that the decay rate of waves in a viscoelastic cover is proportional to the quadratic of wave frequency in long waves, whilst biquadrate for short waves. The former is likely to be a viscoelastic effect, and the latter is likely to be related to the energy damping caused by the fluid motion. Overall, the modeling approach and results of the present paper are expected to provide new insights into wave–ice interactions and help researchers to dynamically simulate similar fluid–structure interactions with high fidelity.
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10

Viré, A., J. Xiang, and C. C. Pain. "An immersed-shell method for modelling fluid–structure interactions." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2035 (February 28, 2015): 20140085. http://dx.doi.org/10.1098/rsta.2014.0085.

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The paper presents a novel method for numerically modelling fluid–structure interactions. The method consists of solving the fluid-dynamics equations on an extended domain, where the computational mesh covers both fluid and solid structures. The fluid and solid velocities are relaxed to one another through a penalty force. The latter acts on a thin shell surrounding the solid structures. Additionally, the shell is represented on the extended domain by a non-zero shell-concentration field, which is obtained by conservatively mapping the shell mesh onto the extended mesh. The paper outlines the theory underpinning this novel method, referred to as the immersed-shell approach. It also shows how the coupling between a fluid- and a structural-dynamics solver is achieved. At this stage, results are shown for cases of fundamental interest.
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11

Baghalnezhad, Masoud, Abdolrahman Dadvand, and Iraj Mirzaee. "Simulation of Fluid-Structure and Fluid-Mediated Structure-Structure Interactions in Stokes Regime Using Immersed Boundary Method." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/782534.

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The Stokes flow induced by the motion of an elastic massless filament immersed in a two-dimensional fluid is studied. Initially, the filament is deviated from its equilibrium state and the fluid is at rest. The filament will induce fluid motion while returning to its equilibrium state. Two different test cases are examined. In both cases, the motion of a fixed-end massless filament induces the fluid motion inside a square domain. However, in the second test case, a deformable circular string is placed in the square domain and its interaction with the Stokes flow induced by the filament motion is studied. The interaction between the fluid and deformable body/bodies can become very complicated from the computational point of view. An immersed boundary method is used in the present study. In order to substantiate the accuracy of the numerical method employed, the simulated results associated with the Stokes flow induced by the motion of an extending star string are compared well with those obtained by the immersed interface method. The results show the ability and accuracy of the IBM method in solving the complicated fluid-structure and fluid-mediated structure-structure interaction problems happening in a wide variety of engineering and biological systems.
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12

Kalro, Vinay, and Tayfun E. Tezduyar. "A parallel 3D computational method for fluid–structure interactions in parachute systems." Computer Methods in Applied Mechanics and Engineering 190, no. 3-4 (October 2000): 321–32. http://dx.doi.org/10.1016/s0045-7825(00)00204-8.

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13

Schwarzacher, Sebastian, and Bangwei She. "On numerical approximations to fluid–structure interactions involving compressible fluids." Numerische Mathematik 151, no. 1 (March 31, 2022): 219–78. http://dx.doi.org/10.1007/s00211-022-01275-2.

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14

Lasiecka, I., and A. Tuffaha. "Riccati equations arising in boundary control of fluid structure interactions." International Journal of Computing Science and Mathematics 1, no. 1 (2007): 128. http://dx.doi.org/10.1504/ijcsm.2007.013768.

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15

Wick, Thomas. "Goal-Oriented Mesh Adaptivity for Fluid-Structure Interaction with Application to Heart-Valve Settings." Archive of Mechanical Engineering 59, no. 1 (January 1, 2012): 73–99. http://dx.doi.org/10.2478/v10180-012-0005-2.

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Goal-Oriented Mesh Adaptivity for Fluid-Structure Interaction with Application to Heart-Valve SettingsWe apply a fluid-structure interaction method to simulate prototypical dynamics of the aortic heart-valve. Our method of choice is based on a monolithic coupling scheme for fluid-structure interactions in which the fluid equations are rewritten in the ‘arbitrary Lagrangian Eulerian’ (ALE) framework. To prevent the backflow of structure waves because of their hyperbolic nature, a damped structure equation is solved on an artificial layer that is used to prolongate the computational domain. The increased computational cost in the presence of the artificial layer is resolved by using local mesh adaption. In particular, heuristic mesh refinement techniques are compared to rigorous goal-oriented mesh adaption with the dual weighted residual (DWR) method. A version of this method is developed for stationary settings. For the nonstationary test cases the indicators are obtained by a heuristic error estimator, which has a good performance for the measurement of wall stresses. The results for prototypical problems demonstrate that heart-valve dynamics can be treated with our proposed concepts and that the DWR method performs best with respect to a certain target functional.
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16

SAWADA, Tomohiro. "W241005 Computational Technique for Fluid-Structure Interactions toward Innovative Medical and Engineering Applications." Proceedings of Mechanical Engineering Congress, Japan 2013 (2013): _W241005–1—_W241005–3. http://dx.doi.org/10.1299/jsmemecj.2013._w241005-1.

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17

Mihai, Felix, Inja Youn, Igor Griva, and Padmanabhan Seshaiyer. "Computational Methods for Coupled Fluid-Structure-Electromagnetic Interaction Models with Applications to Biomechanics." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/253179.

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Multiphysics problems arise naturally in several engineering and medical applications which often require the solution to coupled processes, which is still a challenging problem in computational sciences and engineering. Some examples include blood flow through an arterial wall and magnetic targeted drug delivery systems. For these, geometric changes may lead to a transient phase in which the structure, flow field, and electromagnetic field interact in a highly nonlinear fashion. In this paper, we consider the computational modeling and simulation of a biomedical application, which concerns the fluid-structure-electromagnetic interaction in the magnetic targeted drug delivery process. Our study indicates that the strong magnetic fields, which aid in targeted drug delivery, can impact not only fluid (blood) circulation but also the displacement of arterial walls. A major contribution of this paper is modeling the interactions between these three components, which previously received little to no attention in the scientific and engineering community.
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18

Huang, Luofeng, Yuzhu Li, Daniela Benites-Munoz, Christian Windt Windt, Anna Feichtner, Sasan Tavakoli, Josh Davidson, et al. "A Review on the Modelling of Wave-Structure Interactions Based on OpenFOAM." OpenFOAM® Journal 2 (August 28, 2022): 116–42. http://dx.doi.org/10.51560/ofj.v2.65.

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The modelling of wave-structure interaction (WSI) has significant applications in understanding natural processes as well as securing the safety and efficiency of marine engineering. Based on the technique of Computational Fluid Dynamics (CFD) and the open-source simulation framework - OpenFOAM, this paper provides a state-of-the-art review of WSI modelling methods. The review categorises WSI scenarios and suggests their suitable computational approaches, concerning a rigid, deformable or porous structure in regular, irregular, non-breaking or breaking waves. Extensions of WSI modelling for wave-structure-seabed interactions and various wave energy converters are also introduced. As a result, the present review aims to help understand the CFD modelling of WSI and guide the use of OpenFOAM for target WSI problems.
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19

Haupt, M. C., D. Kowollik, K. Lindhorst, and F. Hötte. "Fluid-Structure-Interaction in Rocket Thrust Chambers Simulation and Validation." Defect and Diffusion Forum 366 (April 2016): 97–117. http://dx.doi.org/10.4028/www.scientific.net/ddf.366.97.

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This paper describes the simulation approach for the analysis of fluid structure interactions(FSI) of rocket thrust chambers. It is based on a partitioned approach and includes several buildingblocks: codes for computational fluid dynamics (CFD) and computational structural mechanics(CSM) as well as techniques to handle non conforming surface grid and to solve the nonlinear coupledequations in time. One target application is the life time prediction and to simulate the structuralfatigue behaviour. Thus, cyclic loading conditions are important and are the motivation for a surrogatemodel, which is the focus of this contribution. It uses nonlinear mapping algorithms between surfacetemperature and heat flux in combination with a reduction of dimensionality via proper orthognal decomposition(POD). It can be used as a replacement of the time consuming CFD code and acceleratesthe FSI analysis several orders in time. Some applications regarding the validation of the FSI softwareenvironment finalize the description of the simulation approach showing that the simulation ofcomplex and multidisciplinary problems is laborious and needs a widespread understanding.
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20

Casoni, Marco, and Ernesto Benini. "A Review of Computational Methods and Reduced Order Models for Flutter Prediction in Turbomachinery." Aerospace 8, no. 9 (September 2, 2021): 242. http://dx.doi.org/10.3390/aerospace8090242.

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Aeroelastic phenomena in turbomachinery are one of the most challenging problems to model using computational fluid dynamics (CFD) due to their inherent nonlinear nature, the difficulties in simulating fluid–structure interactions and the considerable computational requirements. Nonetheless, accurate modelling of self-sustained flow-induced vibrations, known as flutter, has proved to be crucial in assessing stability boundaries and extending the operative life of turbomachinery. Flutter avoidance and control is becoming more relevant in compressors and fans due to a well-established trend towards lightweight and thinner designs that enhance aerodynamic efficiency. In this paper, an overview of computational techniques adopted over the years is first presented. The principal methods for flutter modelling are then reviewed; a classification is made to distinguish between classical methods, where the fluid flow does not interact with the structure, and coupled methods, where this interaction is modelled. The most used coupling algorithms along with their benefits and drawbacks are then described. Finally, an insight is presented on model order reduction techniques applied to structure and aerodynamic calculations in turbomachinery flutter simulations, with the aim of reducing computational cost and permitting treatment of complex phenomena in a reasonable time.
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21

Tezduyar, Tayfun E., Sunil Sathe, Ryan Keedy, and Keith Stein. "Space–time finite element techniques for computation of fluid–structure interactions." Computer Methods in Applied Mechanics and Engineering 195, no. 17-18 (March 2006): 2002–27. http://dx.doi.org/10.1016/j.cma.2004.09.014.

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22

Akhilesh and S. Narayan. "Computational study of the Transmission pole during downburst using ANSYS, considering fluid-structure interactions." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (December 19, 2022): 1523–30. http://dx.doi.org/10.38208/acp.v1.684.

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A downburst is described as a strong downdraft that causes a devastating wind outburst on or near the earth surface. Such occurrences are more common during thunderstorms. Downbursts generally impinge on the ground and convect radially in all directions from the point of contact. Downbursts have been widely documented as a regular cause of high voltage electrical transmission tower and pole failures in numerous nations. The flow dynamics of impinging jets are investigated using numerical models, with applicability to downburst-related high intensity winds. The downburst is simulated using three primary viscous models (, , and RANS). These three viscous models are used to simulate downburst in two dimensions. The RANS viscous model is used for further investigation. To determine the temporal variant characteristics of a downburst, both steady and transient state simulations are performed. The flow is quasi-periodic, with vortex rings formed by the initial jet instability impinging on the surface, where they find an unstable separation reattachment of the boundary layer. Fluid-structure interactions (FSI) are multiphysics problems that cannot be handled using single physics equations. To determine the impacts of downburst on transmission poles, a 2-D steel pole 8 metres high with a fixed base is put near the downburst. Downburst pressure is measured on a transmission pole. The stresses and deflections caused by the pressure distribution on the tower due to varying fluid domain dimensions and jet velocities on the transmission poles are determined using one way coupling, from 2-D transmission pole geometry to 3-D transmission pole geometry.
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23

He, Yanfei, Xingwu Zhang, Tao Zhang, Chenxi Wang, Jia Geng, and Xuefeng Chen. "A wavelet immersed boundary method for two-variable coupled fluid-structure interactions." Applied Mathematics and Computation 405 (September 2021): 126243. http://dx.doi.org/10.1016/j.amc.2021.126243.

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24

Stein, K., T. Tezduyar, V. Kumar, S. Sathe, R. Benney, E. Thornburg, C. Kyle, and T. Nonoshita. "Aerodynamic Interactions Between Parachute Canopies." Journal of Applied Mechanics 70, no. 1 (January 1, 2003): 50–57. http://dx.doi.org/10.1115/1.1530634.

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Aerodynamic interactions between parachute canopies can occur when two separate parachutes come close to each other or in a cluster of parachutes. For the case of two separate parachutes, our computational study focuses on the effect of the separation distance on the aerodynamic interactions, and also focuses on the fluid-structure interactions with given initial relative positions. For the aerodynamic interactions between the canopies of a cluster of parachutes, we focus on the effect of varying the number and arrangement of the canopies.
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Yang, Kai, Pengtao Sun, Lu Wang, Jinchao Xu, and Lixiang Zhang. "Modeling and simulations for fluid and rotating structure interactions." Computer Methods in Applied Mechanics and Engineering 311 (November 2016): 788–814. http://dx.doi.org/10.1016/j.cma.2016.09.020.

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26

Stein, Keith, Richard Benney, Tayfun Tezduyar, and Jean Potvin. "Fluid–structure interactions of a cross parachute: numerical simulation." Computer Methods in Applied Mechanics and Engineering 191, no. 6-7 (December 2001): 673–87. http://dx.doi.org/10.1016/s0045-7825(01)00312-7.

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27

Mani, Saloua. "Truncation error and energy conservation for fluid–structure interactions." Computer Methods in Applied Mechanics and Engineering 192, no. 43 (October 2003): 4769–804. http://dx.doi.org/10.1016/s0045-7825(03)00459-6.

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28

Olson, Lorraine G., and Klaus‐Jürgen Bathe. "An infinite element for analysis of transient fluid—structure interactions." Engineering Computations 2, no. 4 (April 1985): 319–29. http://dx.doi.org/10.1108/eb023631.

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29

KHAYYER, Abbas, Hitoshi GOTOH, Yuma SHIMIZU, Hosein FALAHATY, and Hiroyuki IKARI. "Development of a Fully Lagrangian SPH-based Computational Method for Incompressible Fluid-Elastic Structure Interactions." Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 73, no. 2 (2017): I_1039—I_1044. http://dx.doi.org/10.2208/kaigan.73.i_1039.

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Roy, David, Claude Kauffmann, Sébastien Delorme, Sophie Lerouge, Guy Cloutier, and Gilles Soulez. "A Literature Review of the Numerical Analysis of Abdominal Aortic Aneurysms Treated with Endovascular Stent Grafts." Computational and Mathematical Methods in Medicine 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/820389.

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The purpose of this paper is to present the basic principles and relevant advances in the computational modeling of abdominal aortic aneurysms and endovascular aneurysm repair, providing the community with up-to-date state of the art in terms of numerical analysis and biomechanics. Frameworks describing the mechanical behavior of the aortic wall already exist. However, intraluminal thrombus nonhomogeneous structure and porosity still need to be well characterized. Also, although the morphology and mechanical properties of calcifications have been investigated, their effects on wall stresses remain controversial. Computational fluid dynamics usually assumes a rigid artery wall, whereas fluid-structure interaction accounts for artery compliance but is still challenging since arteries and blood have similar densities. We discuss alternatives to fluid-structure interaction based on dynamic medical images that address patient-specific hemodynamics and geometries. We describe initial stresses, elastic boundary conditions, and statistical strength for rupture risk assessment. Special emphasis is accorded to workflow development, from the conversion of medical images into finite element models, to the simulation of catheter-aorta interactions and stent-graft deployment. Our purpose is also to elaborate the key ingredients leading to virtual stenting and endovascular repair planning that could improve the procedure and stent-grafts.
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Chen, Cheng, Wen-Kui Shi, Yan-Ming Shen, Jian-Qiang Chen, and A.-Man Zhang. "A multi-resolution SPH-FEM method for fluid–structure interactions." Computer Methods in Applied Mechanics and Engineering 401 (November 2022): 115659. http://dx.doi.org/10.1016/j.cma.2022.115659.

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32

Nanal, Narendra S., Scott T. Miller, Jesse D. Thomas, and Lucy T. Zhang. "Fluid–shell structure interactions with finite thickness using immersed method." Computer Methods in Applied Mechanics and Engineering 403 (January 2023): 115697. http://dx.doi.org/10.1016/j.cma.2022.115697.

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33

Longatte, E., Z. Bendjeddou, and M. Souli. "Application of Arbitrary Lagrange Euler Formulations to Flow-Induced Vibration Problems." Journal of Pressure Vessel Technology 125, no. 4 (November 1, 2003): 411–17. http://dx.doi.org/10.1115/1.1613950.

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Most classical fluid force identification methods rely on mechanical structure response measurements associated with convenient data processes providing turbulent and fluid-elastic forces responsible for possible vibrations and damage. These techniques provide good results; however, they often involve high costs as they rely on specific modelings fitted with experimental data. Owing to recent improvements in computational fluid dynamics, numerical simulation of flow-induced structure vibration problems is now practicable for industrial purposes. As far as flow structure interactions are concerned, the main difficulty consists in estimating numerically fluid-elastic forces acting on mechanical components submitted to turbulent flows. The point is to take into account both fluid effects on structure motion and conversely dynamic motion effects on local flow patterns. This requires a code coupling to solve fluid and structure problems in the same time. This ability is out of limit of most classical fluid dynamics codes. That is the reason why recently an improved numerical approach has been developed and applied to the fully numerical prediction of a flexible tube dynamic response belonging to a fixed tube bundle submitted to cross flows. The methodology consists in simulating at the same time thermo-hydraulics and mechanics problems by using an Arbitrary Lagrange Euler (ALE) formulation for the fluid computation. Numerical results turn out to be consistent with available experimental data and calculations tend to show that it is now possible to simulate numerically tube bundle vibrations in presence of cross flows. Thus a new possible application for ALE methods is the prediction of flow-induced vibration problems. The full computational process is described in the first section. Classical and improved ALE formulations are presented in the second part. Main numerical results are compared to available experimental data in section 3. Code performances are pointed out in terms of mesh generation process and code coupling method.
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Wang, Shuangqiang, Guiyong Zhang, Boqian Yan, Yuzhen Chen, and Zhifan Zhang. "Simulating fluid-structure interactions with a hybrid immersed smoothed point interpolation method." Engineering Analysis with Boundary Elements 130 (September 2021): 352–63. http://dx.doi.org/10.1016/j.enganabound.2021.05.026.

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35

Ng, Shu Kai, and Akihiko Nakayama. "Investigation of the Configuration of Small Hydropower using a Novel Smoothed Particle Hydrodynamics Method." IOP Conference Series: Earth and Environmental Science 945, no. 1 (December 1, 2021): 012039. http://dx.doi.org/10.1088/1755-1315/945/1/012039.

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Abstract A novel Computational Fluid Dynamics (CFD) method utilizing Smoothed Particle Hydrodynamics (SPH) has been developed and applied to a simulation of flows in small hydropower systems. The simulation of the flow through a gravitational vortex turbine (GVT) small hydropower system where the flow is directed to a circular basin with a vertical-axis turbine, harnessing the rotational energy of the vortex formed to drive the turbine. Two modes of Fluid-Structure Interactions (FSI) were tested with identical flow conditions to evaluate the potential of this method to simulate complex FSI scenarios. It was found that simulation results for both one-way and two-way interactions produced reasonable results. The two-way interaction result proved to reflect more accurate FSI scenarios, but more studies are needed to provide validation.
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36

Wren, G. P., S. E. Ray, S. K. Aliabadi, and T. E. Tezduyar. "Simulation of flow problems with moving mechanical components, fluid-structure interactions and two-fluid interfaces." International Journal for Numerical Methods in Fluids 24, no. 12 (June 1997): 1433–48. http://dx.doi.org/10.1002/(sici)1097-0363(199706)24:12<1433::aid-fld568>3.0.co;2-u.

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37

Wang, Xiaolin, Ken Kamrin, and Chris H. Rycroft. "An incompressible Eulerian method for fluid–structure interaction with mixed soft and rigid solids." Physics of Fluids 34, no. 3 (March 2022): 033604. http://dx.doi.org/10.1063/5.0082233.

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We present a general simulation approach for incompressible fluid–structure interactions in a fully Eulerian framework using the reference map technique. The approach is suitable for modeling one or more rigid or finitely deformable objects or soft objects with rigid components interacting with the fluid and with each other. It is also extended to control the kinematics of structures in fluids. The model is based on our previous Eulerian fluid–soft solver [Rycroft et al., “Reference map technique for incompressible fluid–structure interaction,” J. Fluid Mech. 898, A9 (2020)] and generalized to rigid structures by constraining the deformation-rate tensor in a projection framework. Several numerical examples are presented to illustrate the capability of the method.
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Colicchio, G., M. Greco, M. Brocchini, and O. M. Faltinsen. "Hydroelastic behaviour of a structure exposed to an underwater explosion." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2033 (January 28, 2015): 20140103. http://dx.doi.org/10.1098/rsta.2014.0103.

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The hydroelastic interaction between an underwater explosion and an elastic plate is investigated num- erically through a domain-decomposition strategy. The three-dimensional features of the problem require a large computational effort, which is reduced through a weak coupling between a one-dimensional radial blast solver, which resolves the blast evolution far from the boundaries, and a three-dimensional compressible flow solver used where the interactions between the compression wave and the boundaries take place and the flow becomes three-dimensional. The three-dimensional flow solver at the boundaries is directly coupled with a modal structural solver that models the response of the solid boundaries like elastic plates. This enables one to simulate the fluid–structure interaction as a strong coupling, in order to capture hydroelastic effects. The method has been applied to the experimental case of Hung et al. (2005 Int. J. Impact Eng. 31 , 151–168 ( doi:10.1016/j.ijimpeng.2003.10.039 )) with explosion and structure sufficiently far from other boundaries and successfully validated in terms of the evolution of the acceleration induced on the plate. It was also used to investigate the interaction of an underwater explosion with the bottom of a close-by ship modelled as an orthotropic plate. In the application, the acoustic phase of the fluid–structure interaction is examined, highlighting the need of the fluid–structure coupling to capture correctly the possible inception of cavitation.
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39

Yanhua, Wang, Huang Longlong, Liu Yong, and Xu Jingsong. "Comparative analysis of cycloid pump based on CFD and fluid structure interactions." Advances in Mechanical Engineering 12, no. 11 (November 2020): 168781402097353. http://dx.doi.org/10.1177/1687814020973533.

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At present, in the aspect of numerical simulation of cycloid pump, most studies focused on CFD (Computational Fluid Dynamics) in analyzing the pump performance under different service conditions (such as speed, temperature, etc.). The characteristics of the pump under FSI (Fluid Solid Interaction) have not been considered yet. By means of the dynamic mesh technique in the rotating domain, the fluid structure coupling interface is set up on a cycloidal pump model building in COMSOL. The simulation results obtained by applying CFD and FSI are improved by experimental verification. The results show that: (1) the average flow rate of FSI simulation is closer to the test results, and the mean values of CFD and FSI pressure are closer to the actual outlet boundary settings; (2) by comparing the velocity and pressure of rotation region of CFD and FSI at different temperatures, it is concluded that the pressure CFD calculated in the region is more than FSI, and the velocity CFD calculated is less than FSI; (3) by comparing the pressure distribution at some contact point of the fluid structure coupling interface, it is concluded that the fluctuation value of the pressure of CFD with time is greater than that of FSI. Through the comparison, it is found that the coupling has a great influence on the calculation results. The FSI analysis of the pump makes the analysis results more real and more conducive to the analysis of the flow field and rotor dynamics characteristics of the pump.
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Destuynder, Philippe, and Erwan Liberge. "A few remarks on penalty and penalty-duality methods in fluid-structure interactions." Applied Numerical Mathematics 167 (September 2021): 1–30. http://dx.doi.org/10.1016/j.apnum.2021.04.017.

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Wang, Yongxing, Peter K. Jimack, and Mark A. Walkley. "Energy analysis for the one-field fictitious domain method for fluid-structure interactions." Applied Numerical Mathematics 140 (June 2019): 165–82. http://dx.doi.org/10.1016/j.apnum.2019.02.003.

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42

Mittal, S., and T. E. Tezduyar. "Parallel finite element simulation of 3D incompressible flows: Fluid-structure interactions." International Journal for Numerical Methods in Fluids 21, no. 10 (November 30, 1995): 933–53. http://dx.doi.org/10.1002/fld.1650211011.

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43

Tian, Fang-Bao, and Li Wang. "Numerical Modeling of Sperm Swimming." Fluids 6, no. 2 (February 7, 2021): 73. http://dx.doi.org/10.3390/fluids6020073.

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Due to rising human infertility, sperm motility has been an important subject. Among the hundreds of millions of sperms on the journey up the oviducts, only a few excellent travelers will reach the eggs. This journey is affected by many factors, some of which include sperm quality, sperm density, fluid rheology and chemotaxis. In addition, the sperm swimming through different body tracks and fluids involves complex sperm flagellar, complex fluid environment, and multi-sperm and sperm-wall interactions. Therefore, this topic has generated substantial research interest. In this paper, we present a review of computational studies on sperm swimming from an engineering perspective with focus on both simplified theoretical methods and fluid–structure interaction methods. Several open issues in this field are highlighted.
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Shkara, Yasir, Martin Cardaun, Ralf Schelenz, and Georg Jacobs. "Aeroelastic response of a multi-megawatt upwind horizontal axis wind turbine (HAWT) based on fluid–structure interaction simulation." Wind Energy Science 5, no. 1 (January 28, 2020): 141–54. http://dx.doi.org/10.5194/wes-5-141-2020.

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Abstract. With the increasing demand for greener, sustainable, and economical energy sources, wind energy has proven to be a potential sustainable source of energy. The trend development of wind turbines tends to increase rotor diameter and tower height to capture more energy. The bigger, lighter, and more flexible structure is more sensitive to smaller excitations. To make sure that the dynamic behavior of the wind turbine structure will not influence the stability of the system and to further optimize the structure, a fully detailed analysis of the entire wind turbine structure is crucial. Since the fatigue and the excitation of the structure are highly depending on the aerodynamic forces, it is important to take blade–tower interactions into consideration in the design of large-scale wind turbines. In this work, an aeroelastic model that describes the interaction between the blade and the tower of a horizontal axis wind turbine (HAWT) is presented. The high-fidelity fluid–structure interaction (FSI) model is developed by coupling a computational fluid dynamics (CFD) solver with a finite element (FE) solver to investigate the response of a multi-megawatt wind turbine structure. The results of the computational simulation showed that the dynamic response of the tower is highly dependent on the rotor azimuthal position. Furthermore, rotation of the blades in front of the tower causes not only aerodynamic forces on the blades but also a sudden reduction in the rotor aerodynamic torque by 2.3 % three times per revolution.
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Mousaviraad, Maysam, Michael Conger, Shanti Bhushan, Frederick Stern, Andrew Peterson, and Mehdi Ahmadian. "Coupled computational fluid and multi-body dynamics suspension boat modeling." Journal of Vibration and Control 24, no. 18 (August 9, 2017): 4260–81. http://dx.doi.org/10.1177/1077546317722897.

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Multiphysics modeling, code development, and validation by full-scale experiments is presented for hydrodynamic/suspension-dynamic interactions of a novel ocean vehicle, the Wave Adaptive Modular Vessel (WAM-V). The boat is a pontoon catamaran with hinged engine pods and elevated payload supported by suspension and articulation systems. Computational fluid dynamics models specific to WAM-V are developed which include hinged pod dynamics, water-jet propulsion modeling, and immersed boundary method for flow in the gap between pontoon and pod. Multi-body dynamics modeling for the suspension and upper-structure dynamic is developed in MATLAB Simulink. Coupled equations of motion are developed and solved iteratively through either one-way or two-way coupling methods to converge on flow-field, pontoon motions, pod motions, waterjet forces, and suspension motions. Validation experiments include cylinder drop with suspended mass and 33-feet WAM-V sea-trials in calm water and waves. Computational results show that two-way coupling is necessary to capture the physics of the interactions. The experimental trends are predicted well and errors are mostly comparable to those for rigid boats, however, in some cases the errors are larger, which is expected due to the complexity of the current studies. Ride quality analyses show that WAM-V suspension is effective in reducing payload vertical accelerations in waves by 73% compared to the same boat with rigid upper-structure.
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Yoon, Gil Ho. "Brittle and ductile failure constraints of stress-based topology optimization method for fluid–structure interactions." Computers & Mathematics with Applications 74, no. 3 (August 2017): 398–419. http://dx.doi.org/10.1016/j.camwa.2017.04.015.

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Gong, S. W., and K. Y. Lam. "Analysis of Layered Composite Beam to Underwater Shock Including Structural Damping and Stiffness Effects." Shock and Vibration 9, no. 6 (2002): 283–91. http://dx.doi.org/10.1155/2002/574056.

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This paper deals with the transient response of layered composite beams subjected to underwater shock. The Doubly Asymptotic Approximation (DAA) method is employed in this study to treat the fluid-structure interactions. The effective structural damping and stiffness are formulated and incorporated in the fluid-structure-coupled equations, which relate the structure response to fluid impulsive loading and are solved using coupled finite-element and DAA-boundary element codes. The present computational method facilitates the study of transient response of the layered composite beams to underwater shock, involving the effects of structural damping and stiffness. In addition, the effect of free surface on the transient response of the layered beam to underwater shock is examined.
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Saghi, Reza, Spyros Hirdaris, and Hassan Saghi. "The influence of flexible fluid structure interactions on sway induced tank sloshing dynamics." Engineering Analysis with Boundary Elements 131 (October 2021): 206–17. http://dx.doi.org/10.1016/j.enganabound.2021.06.023.

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Jiang, Chen, Zhi-Qian Zhang, Guang-Jun Gao, and G. R. Liu. "A modified immersed smoothed FEM with local field reconstruction for fluid–structure interactions." Engineering Analysis with Boundary Elements 107 (October 2019): 218–32. http://dx.doi.org/10.1016/j.enganabound.2019.07.010.

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50

Stotsky, Jay A., and David M. Bortz. "A posteriori error analysis of fluid–structure interactions: Time dependent error." Computer Methods in Applied Mechanics and Engineering 356 (November 2019): 1–15. http://dx.doi.org/10.1016/j.cma.2019.07.009.

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