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Journal articles on the topic 'Fluid-structure interaction simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Meywerk, M., F. Decker, and J. Cordes. "Fluid-structure interaction in crash simulation." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 214, no. 7 (July 2000): 669–73. http://dx.doi.org/10.1243/0954407001527547.

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2

Degroote, Joris. "Partitioned Simulation of Fluid-Structure Interaction." Archives of Computational Methods in Engineering 20, no. 3 (July 14, 2013): 185–238. http://dx.doi.org/10.1007/s11831-013-9085-5.

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3

Lin, Dong Long, Zhao Pang, Ke Xin Zhang, and Shuang You. "Fluid-Structure Interaction Simulation of Wind Turbine." Applied Mechanics and Materials 678 (October 2014): 556–60. http://dx.doi.org/10.4028/www.scientific.net/amm.678.556.

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The model of wind turbine was created by CATIA software, and then the simulation for blades and wind field was conducted by ANSYS software. The phenomena, such as tip vortex of blade, center vortex, and spiral trailing edge vortex caused by the rotating wind turbine, were presented explicitly and the pressure distribution of wind field was obtained. This paper provides some guiding significance to the arrangement of wind turbine and the studies about loading, deformation, and stress of blades.

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4

Li, Zhilin, X. Sheldon Wang, and Lucy T. Zhang. "Preface: Simulation of Fluid-Structure Interaction Problems." Computer Modeling in Engineering & Sciences 119, no. 1 (2019): 1–3. http://dx.doi.org/10.32604/cmes.2019.06635.

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5

Zwaan, R. J., and B. B. Prananta. "Fluid/structure interaction in numerical aeroelastic simulation." International Journal of Non-Linear Mechanics 37, no. 4-5 (June 2002): 987–1002. http://dx.doi.org/10.1016/s0020-7462(01)00110-x.

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6

Zorn, Joshua E., and Roger L. Davis. "Procedure for 2D fluid–structure interaction simulation." Journal of Algorithms & Computational Technology 13 (January 2019): 174830261986173. http://dx.doi.org/10.1177/1748302619861734.

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A numerical technique for the solution of the structural dynamics equations of motion is presented. The structural dynamics mass and momentum conservation equations are solved using a control volume technique which is second-order accurate in space along with a dual time-step scheme that is second order accurate in time. The momentum conservation equation is written in terms of the Piola–Kirchoff stresses and the displacement velocity components. The stress tensor is related to the Lagrangian strain and displacement tensors using the St. Venant–Kirchoff constitutive relationship. Source terms are included to account for surface pressure and body forces. Verification of the structural dynamics solution procedure is presented for a two-dimensional vibrating cantilever beam. In addition, the structural dynamics solution procedure has been implemented into a general purpose two dimensional conjugate heat transfer solution procedure that uses a similar dual time-step control volume technique to solve the fluid mass, energy, and Navier–Stokes equations as well as the structural energy heat conduction equation. The resulting overall solution procedure allows for solutions to fluid/structure, fluid/thermal, or fluid/thermal/structure interaction problems. Verification of the multidisciplinary procedure is performed using a cylinder with a flexible solid protruding downstream that mimics a cylinder-flag configuration. The approach is a proof of concept for compressible flow with continuum based solids. The methods are currently being extended to 3D flow fields and solids.

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7

Kaneko, Shigeki, Giwon Hong, Tomonori Yamada, and Shinobu Yoshimura. "Fluid-Structure Interaction Simulation Considering Active Control." Proceedings of The Computational Mechanics Conference 2016.29 (2016): 075. http://dx.doi.org/10.1299/jsmecmd.2016.29.075.

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8

Bazilevs, Yuri, and Kenji Takizawa. "Computational Fluid–Structure Interaction and Flow Simulation." Computers & Fluids 141 (December 2016): 1. http://dx.doi.org/10.1016/j.compfluid.2016.11.001.

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9

Kumahata, Kiyoshi, Shigenobu Okazawa, Akira Amano, and Teruo Matsuzawa. "2102 Heart Simulation using Eulerian Based Fluid-Structure Interaction Interacting with Cardiomyocyte Simulation." Proceedings of The Computational Mechanics Conference 2010.23 (2010): 266–67. http://dx.doi.org/10.1299/jsmecmd.2010.23.266.

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10

LEI, Kangbin, Masako IWATA, and Ryutaro HIMENO. "Simulation of Fluid-Structure Interaction Using Voxel Method." Transactions of the Japan Society of Mechanical Engineers Series A 70, no. 691 (2004): 434–41. http://dx.doi.org/10.1299/kikaia.70.434.

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11

Crosetto, Paolo, Philippe Reymond, Simone Deparis, Dimitrios Kontaxakis, Nikolaos Stergiopulos, and Alfio Quarteroni. "Fluid–structure interaction simulation of aortic blood flow." Computers & Fluids 43, no. 1 (April 2011): 46–57. http://dx.doi.org/10.1016/j.compfluid.2010.11.032.

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12

Antoci, Carla, Mario Gallati, and Stefano Sibilla. "Numerical simulation of fluid–structure interaction by SPH." Computers & Structures 85, no. 11-14 (June 2007): 879–90. http://dx.doi.org/10.1016/j.compstruc.2007.01.002.

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13

Su, Kuo-Chih, Shu-Fen Chuang, Eddie Yin-Kwee Ng, and Chih-Han Chang. "Evaluation of dentinal fluid flow behaviours: a fluid-structure interaction simulation." Computer Methods in Biomechanics and Biomedical Engineering 17, no. 15 (March 12, 2013): 1716–26. http://dx.doi.org/10.1080/10255842.2013.765410.

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14

Tang, Elaine, Zhenglun (Alan) Wei, Mark A. Fogel, Alessandro Veneziani, and Ajit P. Yoganathan. "Fluid-Structure Interaction Simulation of an Intra-Atrial Fontan Connection." Biology 9, no. 12 (November 24, 2020): 412. http://dx.doi.org/10.3390/biology9120412.

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Total cavopulmonary connection (TCPC) hemodynamics has been hypothesized to be associated with long-term complications in single ventricle heart defect patients. Rigid wall assumption has been commonly used when evaluating TCPC hemodynamics using computational fluid dynamics (CFD) simulation. Previous study has evaluated impact of wall compliance on extra-cardiac TCPC hemodynamics using fluid-structure interaction (FSI) simulation. However, the impact of ignoring wall compliance on the presumably more compliant intra-atrial TCPC hemodynamics is not fully understood. To narrow this knowledge gap, this study aims to investigate impact of wall compliance on an intra-atrial TCPC hemodynamics. A patient-specific model of an intra-atrial TCPC is simulated with an FSI model. Patient-specific 3D TCPC anatomies were reconstructed from transverse cardiovascular magnetic resonance images. Patient-specific vessel flow rate from phase-contrast magnetic resonance imaging (MRI) at the Fontan pathway and the superior vena cava under resting condition were prescribed at the inlets. From the FSI simulation, the degree of wall deformation was compared with in vivo wall deformation from phase-contrast MRI data as validation of the FSI model. Then, TCPC flow structure, power loss and hepatic flow distribution (HFD) were compared between rigid wall and FSI simulation. There were differences in instantaneous pressure drop, power loss and HFD between rigid wall and FSI simulations, but no difference in the time-averaged quantities. The findings of this study support the use of a rigid wall assumption on evaluation of time-averaged intra-atrial TCPC hemodynamic metric under resting breath-held condition.

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15

KRDEY, Absei, Milan TOMA, Fuyou LIANG, Shu TAKAGI, and Marie OSHIMA. "9E-17 FLUID STRUCTURE INTERACTION SIMULATION OF MIDDLE CEREBRAL ARTERY USING MULTI-SCALE MODEL AS OUTFLOW CONDITION." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2010.23 (2011): 533–34. http://dx.doi.org/10.1299/jsmebio.2010.23.533.

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16

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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17

Zhang, Lucy, Xingshi Wang, and Michael Krane. "Fully-coupled fluid-structure interaction simulation of vocal folds." Journal of the Acoustical Society of America 126, no. 4 (2009): 2256. http://dx.doi.org/10.1121/1.3249277.

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18

Yang, Yu, and Jiaru Shao. "Numerical simulation of fluid–structure interaction with SPH method." Journal of Engineering 2020, no. 14 (November 1, 2020): 958–65. http://dx.doi.org/10.1049/joe.2020.0053.

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19

FREITAS, C. J., and S. R. RUNNELS. "SIMULATION OF FLUID–STRUCTURE INTERACTION USING PATCHED-OVERSET GRIDS." Journal of Fluids and Structures 13, no. 2 (February 1999): 191–207. http://dx.doi.org/10.1006/jfls.1998.0200.

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20

Ruck, S., and H. Oertel. "Fluid-structure interaction simulation of an avian flight model." Journal of Experimental Biology 213, no. 24 (November 26, 2010): 4180–92. http://dx.doi.org/10.1242/jeb.041285.

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21

Longatte, E., V. Verreman, and M. Souli. "Time marching for simulation of fluid–structure interaction problems." Journal of Fluids and Structures 25, no. 1 (January 2009): 95–111. http://dx.doi.org/10.1016/j.jfluidstructs.2008.03.009.

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22

Long, C. C., A. L. Marsden, and Y. Bazilevs. "Fluid–structure interaction simulation of pulsatile ventricular assist devices." Computational Mechanics 52, no. 5 (April 18, 2013): 971–81. http://dx.doi.org/10.1007/s00466-013-0858-3.

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23

Lefrançois, Emmanuel. "Fluid-structure interaction in rocket engines." European Journal of Computational Mechanics 19, no. 5-7 (January 2010): 637–52. http://dx.doi.org/10.3166/ejcm.19.637-652.

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24

Griffith, Boyce E., and Neelesh A. Patankar. "Immersed Methods for Fluid–Structure Interaction." Annual Review of Fluid Mechanics 52, no. 1 (January 5, 2020): 421–48. http://dx.doi.org/10.1146/annurev-fluid-010719-060228.

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Fluid–structure interaction is ubiquitous in nature and occurs at all biological scales. Immersed methods provide mathematical and computational frameworks for modeling fluid–structure systems. These methods, which typically use an Eulerian description of the fluid and a Lagrangian description of the structure, can treat thin immersed boundaries and volumetric bodies, and they can model structures that are flexible or rigid or that move with prescribed deformational kinematics. Immersed formulations do not require body-fitted discretizations and thereby avoid the frequent grid regeneration that can otherwise be required for models involving large deformations and displacements. This article reviews immersed methods for both elastic structures and structures with prescribed kinematics. It considers formulations using integral operators to connect the Eulerian and Lagrangian frames and methods that directly apply jump conditions along fluid–structure interfaces. Benchmark problems demonstrate the effectiveness of these methods, and selected applications at Reynolds numbers up to approximately 20,000 highlight their impact in biological and biomedical modeling and simulation.

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25

Zhang, Guoqing, Shengnan Shen, Hui Li, and Shijing Wu. "MoP-14 Fluid-Structure-Acoustic Interaction Simulation of the Vibration of Head Gimbals Assembly in Hard Disk Drives." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoP—14–1_—_MoP—14–3_. http://dx.doi.org/10.1299/jsmemipe.2015._mop-14-1_.

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26

Maruthavanan, Duraikannan, Arthur Seibel, and Josef Schlattmann. "Fluid-Structure Interaction Modelling of a Soft Pneumatic Actuator." Actuators 10, no. 7 (July 15, 2021): 163. http://dx.doi.org/10.3390/act10070163.

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This paper presents a fully coupled fluid-structure interaction (FSI) simulation model of a soft pneumatic actuator (SPA). Previous research on modelling and simulation of SPAs mostly involves finite element modelling (FEM), in which the fluid pressure is considered as pressure load uniformly acting on the internal walls of the actuator. However, FEM modelling does not capture the physics of the fluid flow inside an SPA. An accurate modelling of the physical behaviour of an SPA requires a two-way FSI analysis that captures and transfers information from fluid to solid and vice versa. Furthermore, the investigation of the fluid flow inside the flow channels and chambers of the actuator are vital for an understanding of the fluid energy distribution and the prediction of the actuator performance. The FSI modelling is implemented on a typical SPA and the flow behaviour inside the actuator is presented. Moreover, the bending behaviour of the SPA from the FSI simulation results is compared with a corresponding FEM simulation.

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27

Lin, Yong Wen, Xiao Chuan You, and Zhuo Zhuang. "One Method of Fluid-Solid Coupled Interaction Simulation." Advanced Materials Research 33-37 (March 2008): 1095–100. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1095.

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In this article we presented a method of Fluid-Solid coupled simulation via FLUNET and ABAQUS in problems such as Aero/Hydro-Elasticity problems. UDF (user define function) script file in the Fluent software was utilized as the ‘Connecting File’ between FLUENT and ABAQUS for Aero-Elastic computations. Firstly, the fluid field was computed by Navier-Stokes Equation and the structure movement was directly integrated by the dynamics Equation, respectively. Then, the ‘Connecting File’ exchanged the computed data through the fluid and structure’s interface. The next analysis step continued. Analysis of the computed results showed that this coupling method designed for aero-elastic system was feasible and can be also used for other Fluid-Structure Coupling problems.

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28

Zhu, Yushan, Xiaoling Wang, Shaohui Deng, Wenlong Chen, Zuzhi Shi, Linli Xue, and Mingming Lv. "Grouting Process Simulation Based on 3D Fracture Network Considering Fluid–Structure Interaction." Applied Sciences 9, no. 4 (February 15, 2019): 667. http://dx.doi.org/10.3390/app9040667.

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Grouting has always been the main engineering measure of ground improvement and foundation remediation of hydraulic structures. Due to complex geological conditions and the interactions between the grout and the fractured rock mass, which poses a serious challenge to the grouting diffusion mechanism analysis, fracture grouting has been a research hotspot for a long time. In order to throw light on the grout diffusion process in the fractured rock mass and the influence of grout on the fracture network, and to achieve more realistic grouting numerical simulation, in this paper a grouting process simulation approach considering fluid–structure interaction is developed based on the 3D fractured network model. Firstly, the relationship between fracture apertures and trace lengths is used to obtain a more realistic value of fracture aperture; then a more reliable model is established; subsequently, based on the 3D fracture network model, different numerical models are established to calculate fluid dynamics (grout) and structure deformation (fractured rock mass), and the results are exchanged at the fluid–structure interface to realize the grouting process simulation using two-way fluid-structure interaction method. Finally, the approach is applied to analyze the grouting performance of a hydropower station X, and the results show that the grouting simulation considering fluid–structure interaction are more realistic and can simultaneously reveal the diffusion of grout and the deformation of fracture, which indicates that it is necessary to consider the effect of fluid–structure interaction in grouting simulation. The results can provide more valuable information for grouting construction.

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29

HOFFMAN, JOHAN, JOHAN JANSSON, and MICHAEL STÖCKLI. "UNIFIED CONTINUUM MODELING OF FLUID-STRUCTURE INTERACTION." Mathematical Models and Methods in Applied Sciences 21, no. 03 (March 2011): 491–513. http://dx.doi.org/10.1142/s021820251100512x.

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In this paper, we describe an incompressible Unified Continuum (UC) model in Euler (laboratory) coordinates with a moving mesh for tracking the fluid-structure interface as part of the discretization, allowing simple and general formulation and efficient computation. The model consists of conservation equations for mass and momentum, a phase convection equation and a Cauchy stress and phase variable θ as data for defining material properties and constitutive laws. We target realistic 3D turbulent fluid-structure interaction (FSI) applications, where we show simulation results of a flexible flag mounted in the turbulent wake behind a cube as a qualitative test of the method, and quantitative results for 2D benchmarks, leaving adaptive error control for future work. We compute piecewise linear continuous discrete solutions in space and time by a general Galerkin (G2) finite element method (FEM). We introduce and compensate for mesh motion by defining a local arbitrary Euler–Lagrange (ALE) map on each space-time slab as part of the discretization, allowing a sharp phase interface given by θ on cell facets. The Unicorn implementation is published as part of the FEniCS Free Software system for automation of computational mathematical modeling. Simulation results are given for a 2D stationary convergence test, indicating quadratic convergence of the displacement, a simple 2D Poiseuille test for verifying correct treatment of the fluid-structure interface, showing quadratic convergence to the exact drag value, an established 2D dynamic flag benchmark test, showing a good match to published reference solutions and a 3D turbulent flag test as indicated above.

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30

Boznyakov, Evgeny I., Irina N. Afanasyeva, and Alexander M. Belostotsky. "Numerical simulation of fluid-structure interaction between elastic thin-walled structure and transient fluid flow." MATEC Web of Conferences 86 (2016): 01028. http://dx.doi.org/10.1051/matecconf/20168601028.

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31

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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32

Ariza-Gracia, Miguel Ángel, Wei Wu, Mauro Malve, Begoña Calvo, and José Félix Rodriguez Matas. "Fluid structure interaction of the non-contact tonometry test." Modeling and Artificial Intelligence in Ophthalmology 2, no. 2 (June 18, 2018): 75–79. http://dx.doi.org/10.35119/maio.v2i2.76.

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The study of corneal biomechanics has gained interest due to its applications on predicting refractive surgery outcomes and the study of a number of pathologies affecting the cornea. In this regard, non-contact tonometry (NCT) has become a popular diagnostic tool in ophthalmology and as an alternative method to characterize corneal biomechanics. Since identification of material parameters using NCT tests rely on the inverse finite element method, accurate and reliable simulations are required. In this work, we present a full fluid structure simulation of a NCT test accounting for the eff ect of the presence of the humors. The results indicate that when inertial effects are considered, not including humors may lead to overestimating corneal displacement, and therefore, to an overestimation of the actual corneal stiffness when using the inverse finite element method.

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33

Sun, Hai Tao, and Ying Xiong. "Fluid-Structure Interaction Analysis of Flexible Marine Propellers." Applied Mechanics and Materials 226-228 (November 2012): 479–82. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.479.

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The present paper focuses on the fluid-structure interaction of flexible marine propellers. The aim is to develop a simulation method to predict the hydro-elastic performance. To compare with the experimental results, the geometry of propeller DTMB4119 is used. The solution procedure first computes the hydrodynamic pressures due to rigid-blade rotation via the BEM (Boundary Element Methods, BEM). The hydrodynamic pressures are then applied as external normal surface traction for the FEM (Finite Element Methods, FEM) solid model to obtain the deformed geometry. The commercial FEM code is then used to solve the equation of motion in the rotating blade-fixed coordinate system. User-defined subroutines are developed to generate FEM models using 8-node linear solid volumetric elements. Iterations are implemented between BEM and FEM solvers until the solution converges. This study shows that the simulation method developed in this paper is reasonable.

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34

Yakhlef, Othman, and Cornel Marius Murea. "Numerical Simulation of Dynamic Fluid-Structure Interaction with Elastic Structure–Rigid Obstacle Contact." Fluids 6, no. 2 (January 22, 2021): 51. http://dx.doi.org/10.3390/fluids6020051.

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An implicit scheme by partitioned procedures is proposed to solve a dynamic fluid–structure interaction problem in the case when the structure displacements are limited by a rigid obstacle. For the fluid equations (Sokes or Navier–Stokes), the fictitious domain method with penalization was used. The equality of the fluid and structure velocities at the interface was obtained using the penalization technique. The surface forces at the fluid–structure interface were computed using the fluid solution in the structure domain. A quadratic optimization problem with linear inequalities constraints was solved to obtain the structure displacements. Numerical results are presented.

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35

Han, Luhui, and Xiangyu Hu. "SPH modeling of fluid-structure interaction." Journal of Hydrodynamics 30, no. 1 (February 2018): 62–69. http://dx.doi.org/10.1007/s42241-018-0006-9.

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36

Hasnedlová, Jaroslava, Miloslav Feistauer, Jaromír Horáček, Adam Kosík, and Václav Kučera. "Numerical simulation of fluid–structure interaction of compressible flow and elastic structure." Computing 95, S1 (November 24, 2012): 343–61. http://dx.doi.org/10.1007/s00607-012-0240-x.

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37

Sheldon Wang, X., Ye Yang, and TaoWu. "Model Studies of Fluid-Structure Interaction Problems." Computer Modeling in Engineering & Sciences 119, no. 1 (2019): 5–34. http://dx.doi.org/10.32604/cmes.2019.04204.

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38

Yang, Mei, Xiao Liu, and Yan Hua Chen. "Numerical Simulation of Soil-Pipe-Fluid Interaction in Buried Liquid-Conveying Pipe." Advanced Materials Research 743 (August 2013): 244–48. http://dx.doi.org/10.4028/www.scientific.net/amr.743.244.

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Buried pipe crossing faults is an important part of underground city lifeline, which is influenced by many factors. It is necessary to calculate Soil-Pipe-Fluid interaction that includes fluid-structure interaction (FSI) and pipe-soil interaction. Under multi-action of site, fault movement, and earthquake, finite element model of buried liquid-conveying pipe is established by ADINA. Two-way fluid-structure coupling methods for fluid-structure interaction and definition of contact for pipe-soil interaction are introduced. Pipe-soil friction is defined in solid model; especially, flow assumption and fluid structure interface condition are defined in fluid model. Damage of buried liquid-conveying pipe under soil-pipe-fluid action is calculated under fluid-structure coupling with pipe-soil interaction. Influences of site soil and liquid velocity on effective stress and circumferential strain of buried liquid-conveying pipe are analyzed, and some advice is proposed for pipe protection.

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39

Choi, Dong Hwan, and Sang Sik Lee. "57201 Multiphysics Simulation of Stabilized Remote Controlled Weapon System on Coast Guard Naval Ships(Fluid-Structure Interaction in MBS)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _57201–1_—_57201–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._57201-1_.

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40

Kim, Jong Rok, Einkeun Kwak, Byungduk Kang, Hyungjin Na, Seung Je Shin, and Jaewon Bang. "WING DEPLOYMENT SIMULATION USING 2-WAY FLUID STRUCTURE INTERACTION METHOD." Journal of Computational Fluids Engineering 25, no. 1 (March 31, 2020): 1–12. http://dx.doi.org/10.6112/kscfe.2020.25.1.001.

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41

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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42

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/scientific5/amr.457-458.1062.

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43

Kalateh, Farhoud, and Ali Koosheh. "Simulation of cavitating fluid–Structure interaction using SPH–FE method." Mathematics and Computers in Simulation 173 (July 2020): 51–70. http://dx.doi.org/10.1016/j.matcom.2020.01.019.

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44

Mitra, S., and K. P. Sinhamahapatra. "2D simulation of fluid-structure interaction using finite element method." Finite Elements in Analysis and Design 45, no. 1 (December 2008): 52–59. http://dx.doi.org/10.1016/j.finel.2008.07.006.

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45

Kumahata, Kiyoshi, Akira Amano, and Teruo Matsuzawa. "608 Eulerian based Fluid-Structure Interaction Code for Heart Simulation." Proceedings of Conference of Hokuriku-Shinetsu Branch 2009.46 (2009): 225–26. http://dx.doi.org/10.1299/jsmehs.2009.46.225.

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46

Ramdan, Dadan, Usman Harahap, Andi Rubiantara, and Chu Yee Khor. "Fluid Structure Interaction Numerical Simulation of Wiresweep in Electronics Packaging." TELKOMNIKA (Telecommunication Computing Electronics and Control) 14, no. 1 (March 1, 2016): 262. http://dx.doi.org/10.12928/telkomnika.v14i1.2030.

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Stella, F., M. Giangi, F. Paglia, A. Casata, D. Simone, and P. Gaudenzi. "A NUMERICAL SIMULATION OF FLUID–STRUCTURE INTERACTION IN INTERNAL FLOWS." Numerical Heat Transfer, Part B: Fundamentals 47, no. 5 (April 27, 2005): 403–18. http://dx.doi.org/10.1080/10407790590919180.

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Alia, Ahlem, and Jacques Charley. "Numerical simulation of fluid structure interaction, application to vibroacoustic problems." European Journal of Computational Mechanics 16, no. 3-4 (January 2007): 437–50. http://dx.doi.org/10.3166/remn.16.437-450.

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Stoia-Djeska, Marius, and Florin Frunzulică. "The numerical simulation of a typical fluid-structure interaction problem." PAMM 9, no. 1 (December 2009): 399–400. http://dx.doi.org/10.1002/pamm.200910173.

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Li, Xue Feng, Xiu Quan Huang, and Chao Liu. "Numerical Simulation Method for Fluid-Structure Interaction in Compressor Blades." Applied Mechanics and Materials 488-489 (January 2014): 914–17. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.914.

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Abstract:

A simulation method for fluid-structure interaction (FSI) in compressor blades was discussed to predict the aeroelastic stability of blades. Using the MFX, which is a Multi-Field Solver in ANSYS, the total force of computational fluid dynamics (CFD) have been interpolated to computational structural dynamics (CSD) grids, and then the vibration displacements of CSD nodes have been interpolated to CFD grids at the blade surface. In CFD analysis, the grid coordinates of the moveable region have been updated by multi-layer moving grid technique, and the finite volume method has been applied to calculate the Reynolds-averaged Navier-Stokes (RANS) equations closed by k-E turbulent model. For NASA Rotor 67, detect the displacement response of compressor blades at the design speed , and the aeroelastic stability of blades has been analyzed preliminarily. The study shows that the FSI procedure is feasible to predict the aeroelastic stability of compressor blades.

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