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Journal articles on the topic 'Fluid structure interactions'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 May 2024

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1

Bathe, Klaus-Ju¨rgen. "Fluid-structure Interactions." Mechanical Engineering 120, no. 04 (April 1, 1998): 66–68. http://dx.doi.org/10.1115/1.1998-apr-4.

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This article reviews finite element methods that are widely used in the analysis of solids and structures, and they provide great benefits in product design. In fact, with today’s highly competitive design and manufacturing markets, it is nearly impossible to ignore the advances that have been made in the computer analysis of structures without losing an edge in innovation and productivity. Various commercial finite-element programs are widely used and have proven to be indispensable in designing safer, more economical products. Applications of acoustic-fluid/structure interactions are found whenever the fluid can be modeled to be inviscid and to undergo only relatively small particle motions. The interplay between finite-element modeling and analysis with the recognition and understanding of new physical phenomena will advance the understanding of physical processes. This will lead to increasingly better simulations. Based on current technology and realistic expectations of further hardware and software developments, a tremendous future for fluid–structure interaction applications lies ahead.

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2

Semenov, Yuriy A. "Fluid/Structure Interactions." Journal of Marine Science and Engineering 10, no. 2 (January 26, 2022): 159. http://dx.doi.org/10.3390/jmse10020159.

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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

Zhou, Xiang Yang, and Qi Lin Zhang. "Numerical Simulation of Fluid-Structure Interaction for Tension Membrane Structures." Advanced Materials Research 457-458 (January 2012): 1062–65. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1062.

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Comprehensive studies on effect of fluid-structure interaction and dynamic response for tension structure were conducted by the numerical simulation. An iterative coupling approach for time-dependent fluid-structure interactions is applied to tension membranous structures with large displacements. The coupling method connects a flow-condition-based interpolation element for incompressible fluids with a finite element for geometrically nonlinear problems. A membranous roof with saddle shape exposed to fluctuating wind field at atmosphere boundary layer was investigated for the coupling algorithm. The dynamic response and the fluctuating pressure on member structure were calculated according to the coupling configuration.

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5

Howe, Michael S., and David Feit. "Acoustics of Fluid–Structure Interactions." Physics Today 52, no. 12 (December 1999): 64. http://dx.doi.org/10.1063/1.882913.

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6

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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7

Hou, Gene, Jin Wang, and Anita Layton. "Numerical Methods for Fluid-Structure Interaction — A Review." Communications in Computational Physics 12, no. 2 (August 2012): 337–77. http://dx.doi.org/10.4208/cicp.291210.290411s.

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AbstractThe interactions between incompressible fluid flows and immersed structures are nonlinear multi-physics phenomena that have applications to a wide range of scientific and engineering disciplines. In this article, we review representative numerical methods based on conforming and non-conforming meshes that are currently available for computing fluid-structure interaction problems, with an emphasis on some of the recent developments in the field. A goal is to categorize the selected methods and assess their accuracy and efficiency. We discuss challenges faced by researchers in this field, and we emphasize the importance of interdisciplinary effort for advancing the study in fluid-structure interactions.

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8

FRANCO, ELISA, DAVID N. PEKAREK, JIFENG PENG, and JOHN O. DABIRI. "Geometry of unsteady fluid transport during fluid–structure interactions." Journal of Fluid Mechanics 589 (October 8, 2007): 125–45. http://dx.doi.org/10.1017/s0022112007007872.

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We describe the application of tools from dynamical systems to define and quantify the unsteady fluid transport that occurs during fluid–structure interactions and in unsteady recirculating flows. The properties of Lagrangian coherent structures (LCS) are used to enable analysis of flows with arbitrary time-dependence, thereby extending previous analytical results for steady and time-periodic flows. The LCS kinematics are used to formulate a unique, physically motivated definition for fluid exchange surfaces and transport lobes in the flow. The methods are applied to numerical simulations of two-dimensional flow past a circular cylinder at a Reynolds number of 200; and to measurements of a freely swimming organism, the Aurelia aurita jellyfish. The former flow provides a canonical system in which to compare the present geometrical analysis with classical, Eulerian (e.g. vortex shedding) perspectives of fluid–structure interactions. The latter flow is used to deduce the physical coupling that exists between mass and momentum transport during self-propulsion. In both cases, the present methods reveal a well-defined, unsteady recirculation zone that is not apparent in the corresponding velocity or vorticity fields. Transport rates between the ambient flow and the recirculation zone are computed for both flows. Comparison of fluid transport geometry for the cylinder crossflow and the self-propelled swimmer within the context of existing theory for two-dimensional lobe dynamics enables qualitative localization of flow three-dimensionality based on the planar measurements. Benefits and limitations of the implemented methods are discussed, and some potential applications for flow control, unsteady propulsion, and biological fluid dynamics are proposed.

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9

Howe, M. S. "Sound generated by fluid-structure interactions." Computers & Structures 65, no. 3 (November 1997): 433–46. http://dx.doi.org/10.1016/s0045-7949(96)00259-3.

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10

Richter, Thomas. "Fluid Structure Interactions in Eulerian Coordinates." PAMM 12, no. 1 (December 2012): 827–30. http://dx.doi.org/10.1002/pamm.201210391.

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11

Bendiksen, O. O., and G. Seber. "Fluid–structure interactions with both structural and fluid nonlinearities." Journal of Sound and Vibration 315, no. 3 (August 2008): 664–84. http://dx.doi.org/10.1016/j.jsv.2008.03.034.

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12

Margenberg, Nils, and Thomas Richter. "Parallel time-stepping for fluid–structure interactions." Mathematical Modelling of Natural Phenomena 16 (2021): 20. http://dx.doi.org/10.1051/mmnp/2021005.

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We present a parallel time-stepping method for fluid–structure interactions. The interaction between the incompressible Navier-Stokes equations and a hyperelastic solid is formulated in a fully monolithic framework. Discretization in space is based on equal order finite element for all variables and a variant of the Crank-Nicolson scheme is used as second order time integrator. To accelerate the solution of the systems, we analyze a parallel-in time method. For different numerical test cases in 2d and in 3d we present the efficiency of the resulting solution approach. We also discuss some challenges and limitations that are connected to the special structure of fluid–structure interaction problem. In particular, we will investigate stability and dissipation effects of the time integration and their influence on the convergence of the parareal method. It turns out that especially processes based on an internal dynamics (e.g.driven by the vortex street around an elastic obstacle) cause great difficulties. Configurations however, which are driven by oscillatory problem data, are well-suited for parallel time stepping and allow for substantial speedups.

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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

Sarmakeeva, A. S., L. E. Tonkov, and A. A. Chernova. "Meshfree methods for simulation fluid-structure interactions." Izvestiya Instituta Matematiki i Informatiki. Udmurt. Gos. Univ. 50 (November 2017): 36–44. http://dx.doi.org/10.20537/2226-3594-2017-50-05.

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15

Arce, Manuel, Raphael Perez, and Lawrence Ukeiley. "Fluid structure interactions with multicell membrane wings." Journal of the Acoustical Society of America 138, no. 3 (September 2015): 1776. http://dx.doi.org/10.1121/1.4933620.

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16

Wagner, Justin L., Katya M. Casper, Steven J. Beresh, Patrick S. Hunter, Russell W. Spillers, John F. Henfling, and Randall L. Mayes. "Fluid-structure interactions in compressible cavity flows." Physics of Fluids 27, no. 6 (June 2015): 066102. http://dx.doi.org/10.1063/1.4922021.

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17

Junger, Miguel C. "Approaches to acoustic fluid–elastic structure interactions." Journal of the Acoustical Society of America 82, no. 4 (October 1987): 1115–21. http://dx.doi.org/10.1121/1.395301.

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18

Bilston, L. E., S. Cheng, D. F. Fletcher, and M. A. Stoodley. "Fluid-structure interactions in structural neurological diseases." Journal of Biomechanics 39 (January 2006): S366. http://dx.doi.org/10.1016/s0021-9290(06)84471-4.

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19

Junger, M. C. "Acoustic fluid-elastic structure interactions: Basic concepts." Computers & Structures 65, no. 3 (November 1997): 287–93. http://dx.doi.org/10.1016/s0045-7949(96)00250-7.

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20

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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21

Stein, Keith, Richard Benney, Vinay Kalro, Tayfun E. Tezduyar, John Leonard, and Michael Accorsi. "Parachute fluid–structure interactions: 3-D computation." Computer Methods in Applied Mechanics and Engineering 190, no. 3-4 (October 2000): 373–86. http://dx.doi.org/10.1016/s0045-7825(00)00208-5.

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22

Fraser, K. H., M. Li, W. J. Easson, and P. R. Hoskins. "Fluid-structure interactions in abdominal aortic aneurysms." Journal of Biomechanics 39 (January 2006): S605—S606. http://dx.doi.org/10.1016/s0021-9290(06)85515-6.

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23

Gataulin, Y. A., A. D. Yukhnev, and D. A. Rosukhovskiy. "Fluid–structure interactions modeling the venous valve." Journal of Physics: Conference Series 1128 (November 2018): 012009. http://dx.doi.org/10.1088/1742-6596/1128/1/012009.

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24

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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25

Paı¨doussis, M. P. "Some unresolved issues in fluid-structure interactions." Journal of Fluids and Structures 20, no. 6 (August 2005): 871–90. http://dx.doi.org/10.1016/j.jfluidstructs.2005.03.009.

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26

bin Zakaria, Nazri Huzaimi, Mohd Zamani Ngali, and Ahmad Rivai. "Review on Fluid Structure Interaction Solution Method for Biomechanical Application." Applied Mechanics and Materials 660 (October 2014): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amm.660.927.

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Fluid-Structure Interaction engages with complex geometry especially in biomechanical problem. In order to solve critical case studies such as cardiovascular diseases, we need the structure to be flexible and interact with the surrounding fluids. Thus, to simulate such systems, we have to consider both fluid and structure two-way interactions. An extra attention is needed to develop FSI algorithm in biomechanic problem, namely the algorithm to solve the governing equations, the coupling between the fluid and structural parameter and finally the algorithm for solving the grid connectivity. In this article, we will review essential works that have been done in FSI for biomechanic. Works on Navier–Stokes equations as the basis of the fluid solver and the equation of motion together with the finite element methods for the structure solver are thoroughly discussed. Important issues on the interface between structure and fluid solvers, discretised via Arbitrary Lagrangian–Eulerian grid are also pointed out. The aim is to provide a crystal clear understanding on how to develop an efficient algorithm to solve biomechanical Fluid-Structure Interaction problems in a matrix based programming platform.

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27

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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28

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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29

Chen, Wenli, Zifeng Yang, Gang Hu, Haiquan Jing, and Junlei Wang. "New Advances in Fluid–Structure Interaction." Applied Sciences 12, no. 11 (May 26, 2022): 5366. http://dx.doi.org/10.3390/app12115366.

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30

Sun, Ming Li, De Wu, Ming Qiang Wang, Sheng Fei Jin, and Kan Zhi Wang. "Simulation Analysis of Fluid-Structure Interactions with Moving Mesh." Advanced Materials Research 305 (July 2011): 235–38. http://dx.doi.org/10.4028/www.scientific.net/amr.305.235.

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This paper demonstrates techniques for modeling fluid-structure interactions with moving mesh in COMSOL Multiphysics. It illustrates how fluid flow can deform surrounding structures and how to solve for the flow in a continuously deforming geometry using the arbitrary Lagrangian-Eulerian (ALE) technique. The ALE method handles the dynamics of the deforming geometry and the moving boundaries with a moving grid.

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31

Mohapatra, S. C., and C. Guedes Soares. "3D hydroelastic modelling of fluid–structure interactions of porous flexible structures." Journal of Fluids and Structures 112 (July 2022): 103588. http://dx.doi.org/10.1016/j.jfluidstructs.2022.103588.

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32

Xu, Zhijing, and Hongde Qin. "Fluid-structure interactions of cage based aquaculture: From structures to organisms." Ocean Engineering 217 (December 2020): 107961. http://dx.doi.org/10.1016/j.oceaneng.2020.107961.

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33

Grétarsson, Jón Tómas, Nipun Kwatra, and Ronald Fedkiw. "Numerically stable fluid–structure interactions between compressible flow and solid structures." Journal of Computational Physics 230, no. 8 (April 2011): 3062–84. http://dx.doi.org/10.1016/j.jcp.2011.01.005.

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34

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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35

Haward, Simon J., and Amy Q. Shen. "Fluid–structure interactions: From engineering to biomimetic systems." Physics of Fluids 32, no. 12 (December 1, 2020): 120401. http://dx.doi.org/10.1063/5.0039499.

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36

Avril, St閜hane. "Fluid Structure Interactions in Ascending Thoracic Aortic Aneurysms." Molecular & Cellular Biomechanics 16, s1 (2019): 17–18. http://dx.doi.org/10.32604/mcb.2019.05705.

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37

Valid, R. "On Lagrange–Euler formulations for fluid–structure interactions." International Journal of Engineering Science 41, no. 16 (September 2003): 1913–34. http://dx.doi.org/10.1016/s0020-7225(02)00275-6.

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38

Hémon, P., and F. Santi. "Applications of biorthogonal decompositions in fluid–structure interactions." Journal of Fluids and Structures 17, no. 8 (July 2003): 1123–43. http://dx.doi.org/10.1016/s0889-9746(03)00057-4.

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39

AlAmiri, Abdalla, Khalil Khanafer, and Kambiz Vafai. "Fluid-Structure Interactions in a Tissue during Hyperthermia." Numerical Heat Transfer, Part A: Applications 66, no. 1 (April 3, 2014): 1–16. http://dx.doi.org/10.1080/10407782.2013.869080.

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40

Wang, Xiaodong, and Klaus-Jürgen Bathe. "On Mixed Elements for Acoustic Fluid-Structure Interactions." Mathematical Models and Methods in Applied Sciences 07, no. 03 (May 1997): 329–43. http://dx.doi.org/10.1142/s0218202597000190.

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In this paper we investigate the performance of some mixed finite elements used in the displacement/pressure (u/p) and displacement-pressure-vorticity moment (u-p-Λ) formulations for acoustic fluid-structure interactions. In particular, we show that certain elements pass a numerical inf-sup test and are valuable for general applications. Also considered are macroelements that are based on simple four-node elements.

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41

Zhang, Lucy T., Chu Wang, and Xingshi Wang. "Modeling of coupled dynamics for fluid-structure interactions." Journal of Coupled Systems and Multiscale Dynamics 1, no. 1 (April 1, 2013): 155–68. http://dx.doi.org/10.1166/jcsmd.2013.1010.

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42

Wick, Thomas. "Fluid-structure interactions using different mesh motion techniques." Computers & Structures 89, no. 13-14 (July 2011): 1456–67. http://dx.doi.org/10.1016/j.compstruc.2011.02.019.

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43

Vendra, C. Madhav Rao, and Jennifer X. Wen. "Fluid structure interactions modelling in vented lean deflagrations." Journal of Loss Prevention in the Process Industries 61 (September 2019): 183–94. http://dx.doi.org/10.1016/j.jlp.2019.06.004.

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44

de Langre, E., and M. P. Païdoussis. "Special issue on axial-flow fluid–structure interactions." Journal of Fluids and Structures 20, no. 6 (August 2005): 751. http://dx.doi.org/10.1016/j.jfluidstructs.2005.06.002.

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45

Zhang, L. T., and M. Gay. "Immersed finite element method for fluid-structure interactions." Journal of Fluids and Structures 23, no. 6 (August 2007): 839–57. http://dx.doi.org/10.1016/j.jfluidstructs.2007.01.001.

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46

Bin, Jonghoon, William S. Oates, and M. Yousuff Hussaini. "Fluid–structure interactions of photo-responsive polymer cantilevers." Journal of Fluids and Structures 37 (February 2013): 34–61. http://dx.doi.org/10.1016/j.jfluidstructs.2012.10.008.

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47

Gong, Kai, Songdong Shao, Hua Liu, Benlong Wang, and Soon-Keat Tan. "Two-phase SPH simulation of fluid–structure interactions." Journal of Fluids and Structures 65 (August 2016): 155–79. http://dx.doi.org/10.1016/j.jfluidstructs.2016.05.012.

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48

Whalen, Thomas J., Antonio Giovanni Schöneich, Stuart J. Laurence, Bryson T. Sullivan, Daniel J. Bodony, Maxim Freydin, Earl H. Dowell, and Gregory M. Buck. "Hypersonic Fluid–Structure Interactions in Compression Corner Shock-Wave/Boundary-Layer Interaction." AIAA Journal 58, no. 9 (September 2020): 4090–105. http://dx.doi.org/10.2514/1.j059152.

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49

Lentz, Erik W., Thomas R. Quinn, and Leslie J. Rosenberg. "Axion structure formation – II. The wrath of collapse." Monthly Notices of the Royal Astronomical Society 493, no. 4 (March 9, 2020): 5944–71. http://dx.doi.org/10.1093/mnras/staa557.

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ABSTRACT The first paper in this series showed that quantum chromodynamic axion dark matter, as a highly correlated Bose fluid, contains extra-classical physics on cosmological scales. The source of the derived extra-classical physics is exchange–correlation interactions induced by the constraints of symmetric particle exchange and interaxion correlations from self-gravitation. The paper also showed that the impact of extra-classical physics on early structure formation is marginal, as the exchange–correlation interaction is inherently non-linear. This paper continues the study of axion structure formation into the non-linear regime, considering the case of full collapse and virialization. The N-body method is chosen to study the collapse, and its algorithms are derived for a condensed Bose fluid. Simulations of isolated gravitational collapse are performed for both Bose and cold dark matter fluids using a prototype N-body code. Unique Bose structures are found to survive even the most violent collapses. Bose post-collapse features include dynamical changes to global structures, creation of new broad sub-structures, violations of classical binding energy conditions, and new fine structures. Effective models of the novel structures are constructed and possibilities for their observation are discussed.

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50

Yang, Tao, Mingjun Wei, Kun Jia, and James Chen. "A monolithic algorithm for the flow simulation of flexible flapping wings." International Journal of Micro Air Vehicles 11 (January 2019): 175682931984612. http://dx.doi.org/10.1177/1756829319846127.

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It has been a challenge to simulate flexible flapping wings or other three-dimensional problems involving strong fluid–structure interactions. Solving a unified fluid–solid system in a monolithic manner improves both numerical stability and efficiency. The current algorithm considered a three-dimensional extension of an earlier work which formulated two-dimensional fluid–structure interaction monolithically under a unified framework for both fluids and solids. As the approach is extended from a two-dimensional to a three-dimensional configuration, a cell division technique and the associated projection process become necessary and are illustrated here. Two benchmark cases, a floppy viscoelastic particle in shear flow and a flow passing a rigid sphere, are simulated for validation. Finally, the three-dimensional monolithic algorithm is applied to study a micro-air vehicle with flexible flapping wings in a forward flight at different angles of attack. The simulation shows the impact from the angle of attack on wing deformation, wake vortex structures, and the overall aerodynamic performance.

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