An innovative approach to thermo-fluid-structure Interaction Based on an Immersed Interface Method and A Monolithic Thermo-Structure Interaction Algorithm

Grilli, Muzio; Hickel, Stefan; Adams, Nikolaus A.; Hammerl, Georg; Danowski, Caroline; Wall, Wolfgang A.

doi:10.2514/6.2012-3267

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…The POD base consists of n base vectors, hence m = n. In order to reduce the dimension, the base vectors χ i corresponding to small singular values σ i are truncated, because the singular value indicates the relevance of the corresponding base vector. A criterion for the truncation is defined in equation (12).…”

Section: Surrogate Model Approachmentioning

confidence: 99%

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Fluid-Structure-Interaction in Rocket Thrust Chambers Simulation and Validation

Haupt

Kowollik

Lindhorst

et al. 2016

DDF

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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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Section: Surrogate Model Approachmentioning

confidence: 99%

“…The other approach follows a partitioned coupling scheme, where a coupling framework is developed to use separate codes for the individual domains, see e.g. [11,12].…”

Section: Introductionmentioning

confidence: 99%

Fluid-Structure-Interaction in Rocket Thrust Chambers Simulation and Validation

Haupt

Kowollik

Lindhorst

et al. 2016

DDF

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“…The off-diagonal terms emerge due to the coupling effects. To enable an efficient and robust solution for linear systems of equations (21) with large numbers of DOFs, a Krylov subspace method in the form of the generalised minimal residual (GMRES) approach, with preconditioning by algebraic multigrid (AMG) methods, is used. For a detailed description of iterative solvers, the interested reader is referred, for example to [22] and particularly for GMRES to [23].…”

Section: Monolithic Solution Approachmentioning

confidence: 99%

“…Algorithm 2 Solution procedure for TSI problem (21) with right preconditioned Newton-Krylov approach. # Time loop for time step n D 0, ..., max time Predictor…”

Section: Numerical Examplesmentioning

confidence: 99%

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A monolithic computational approach to thermo‐structure interaction

Danowski

Gravemeier

Yoshihara

et al. 2013

Numerical Meth Engineering

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In the present work, a monolithic solution approach for thermo-structure interaction problems motivated by the challenging application of the behaviour of rocket nozzles is proposed. Structural and thermal fields are independently discretised via finite elements. The resulting system of equations is solved via a monolithic thermo-structure interaction scheme, which is constructed by a block Gauss-Seidel preconditioner in combination with algebraic multigrid methods. The proposed method is tested for four numerical examples, the second Danilovskaya problem, a simplified rocket nozzle configuration, an internally loaded hollow sphere, and a fully three-dimensional nozzle configuration of a subscale thrust chamber. Good agreement of the numerical results with results from the literature is observed. Furthermore, it is shown that the monolithic solution algorithm can handle the complete range of the parameter spectrum, whereas partitioned algorithms are limited to a certain parameter range only. Moreover, the monolithic algorithm exhibits improved efficiency and robustness compared to partitioned algorithms. describing equilibrium of the forces of inertia, internal and external forces in the structural domain . In this context, , d and R d denote the density, the unknown displacements and accelerations, respectively. O b represents an arbitrary body load. The internal forces are expressed in terms of the stress tensor . For an isotropic thermoelastic solid, the strain-energy function described in the

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Energy capture and storage in asymmetrically multistable modular structures inspired by skeletal muscle

Kidambi

Harne

Wang

2017

Smart Mater. Struct.

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The remarkable versatility and adaptability of skeletal muscle that arises from the assembly of its nanoscale cross-bridges into micro-scale assemblies known as sarcomeres provides great inspiration for the development of advanced adaptive structures and material systems. Motivated by the capability of cross-bridges to capture elastic strain energy to improve the energetic efficiency of sudden movements and repeated motions, and by models of cross-bridge power stroke motions and sarcomere contractile behaviors that incorporate asymmetric, bistable potential energy landscapes, this research develops and studies modular mechanical structures that trap and store energy in higher-energy configurations. Modules exhibiting tailorable asymmetric bistability are first designed and fabricated, revealing how geometric parameters influence the asymmetry of the resulting double-well energy landscapes. These experimentally-observed characteristics are then investigated with numerical and analytical methods to characterize the dynamics of asymmetrically bistable modules. The assembly of such modules into greater structures generates complex, multi-well energy landscapes with stable system configurations exhibiting different quantities of stored elastic potential energy. Dynamic analyses illustrate the ability of these structures to capture a portion of the initial kinetic energy due to impulsive excitations as recoverable strain potential energy, and reveal how stiffness parameters, damping, and the presence of thermal noise in micro- and nano-scale applications influence energy capture behaviors. The insights gained could foster the development of advanced structural/material systems inspired by skeletal muscle, including actuators that effectively capture, store, and release energy, as well as adaptive, robust, and reusable armors and protective devices.

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An innovative approach to thermo-fluid-structure Interaction Based on an Immersed Interface Method and A Monolithic Thermo-Structure Interaction Algorithm

Cited by 3 publications

References 8 publications

Fluid-Structure-Interaction in Rocket Thrust Chambers Simulation and Validation

Fluid-Structure-Interaction in Rocket Thrust Chambers Simulation and Validation

A monolithic computational approach to thermo‐structure interaction

Energy capture and storage in asymmetrically multistable modular structures inspired by skeletal muscle

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