Uintah is a software framework that provides an environment for solving fluid-structure interaction problems on structured adaptive grids for large-scale science and engineering problems involving the solution of part...
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Uintah is a software framework that provides an environment for solving fluid-structure interaction problems on structured adaptive grids for large-scale science and engineering problems involving the solution of partial differential equations. Uintah uses a combination of fluid flow solvers and particle-based methods for solids, together with adaptive meshing and a novel asynchronous task-based approach with fully automated load balancing. When applying Uintah to fluid-structure interaction problems, the combination of adaptive meshing and the movement of structures through space present a formidable challenge in terms of achieving scalability on large-scale parallel computers. The Uintah approach to the growth of the number of core counts per socket together with the prospect of less memory per core is to adopt a model that uses MPI to communicate between nodes and a shared memory model on-node so as to achieve scalability on large-scale systems. For this approach to be successful, it is necessary to design data structures that large numbers of cores can simultaneously access without contention. This scalability challenge is addressed here for Uintah, by the development of new hybrid runtime and scheduling algorithms combined with novel lock-free data structures, making it possible for Uintah to achieve excellent scalability for a challenging fluid-structure problem with mesh refinement on as many as 260K cores. Copyright (c) 2013 John Wiley & Sons, Ltd.
We consider the problem of estimating the stiffness of an artery wall using a data assimilation method applied to a 3D fluid-structure interaction (FSI) model. Recalling previous works, we briefly present the FSI mode...
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We consider the problem of estimating the stiffness of an artery wall using a data assimilation method applied to a 3D fluid-structure interaction (FSI) model. Recalling previous works, we briefly present the FSI model, the data assimilation procedure and the segmentation algorithm. We present then two examples of the procedure using real data. First, we estimate the stiffness distribution of a silicon rubber tube from image data. Second, we present the estimation of aortic wall stiffness from real clinical data. (C) 2014 Elsevier Ltd. All rights reserved.
In this paper, a nonisothermal fluid-structure interaction mathematical model for the piston/cylinder interface leakage is presented. Full account is taken of the piston eccentricity, elastic deformations of the pisto...
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In this paper, a nonisothermal fluid-structure interaction mathematical model for the piston/cylinder interface leakage is presented. Full account is taken of the piston eccentricity, elastic deformations of the piston pair, the nonisothermal flow in the interface, and the physical properties of the fluid such as the pressure-viscosity and temperature-viscosity effects. The numerical method for the solution of the model is given, which can simultaneously solve for the fluid pressure distribution and leakage rate in the interface. The model is validated by comparing the calculated leakage rates with the measurements. Results show the good accuracy of the model. The impacts of parameters such as the piston diameter, the initial clearance between the piston pair, and the piston velocity on the leakage rate are discussed. Some of the conclusions provide good guidance for the design of high-pressure fuel pumps.
We discuss explicit coupling schemes for fluid-structure interaction problems where the added mass effect is important. In this paper, we show the close relation between coupling schemes by using Nitsche's method ...
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We discuss explicit coupling schemes for fluid-structure interaction problems where the added mass effect is important. In this paper, we show the close relation between coupling schemes by using Nitsche's method and a Robin-Robin type coupling. In the latter case, the method may be implemented either using boundary integrals of the stresses or the more conventional discrete lifting operators. Recalling the explicit method proposed in Comput. Methods Appl. Mech. Engrg. 198(5-8):766-784, 2009, we make the observation that this scheme is stable under a hyperbolic type CFL condition, but that optimal accuracy imposes a parabolic type CFL conditions because of the splitting error. Two strategies to enhance the accuracy of the coupling scheme under the hyperbolic CFL-condition are suggested, one using extrapolation and defect-correction and one using a penalty-free non-symmetric Nitsche method. Finally, we illustrate the performance of the proposed schemes on some numerical examples in two and three space dimensions. Copyright (c) 2013 John Wiley & Sons, Ltd.
The OpenSees finite element software framework is extended for simulating fluid-structure interaction (FSI) by the particle finite element method (PFEM). At high levels of the framework, new classes handle meshing and...
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The OpenSees finite element software framework is extended for simulating fluid-structure interaction (FSI) by the particle finite element method (PFEM). At high levels of the framework, new classes handle meshing and interface detection of the fluid and structure domains and implement the fractional step method in order to solve the governing equations of linear momentum and mass conservation. At lower levels of the framework, new finite element and pressure constraint classes assemble fluid contributions to the global system of equations. Verification and validation examples are presented along with a demonstrative example of wave loading on a coastal structure modeled using geometrically nonlinear frame elements with material nonlinear fiber sections. The extension of OpenSees for FSI allows analysts to simulate the complex phenomena of wave loading on structural models as well as the response of these models to sequential natural hazards such as earthquake induced tsunamis. (C) 2013 Elsevier Ltd. All rights reserved.
A sleeve and its matched spindle are key components of a cotton picker, whose performances affect picking cotton efficiency directly. To enhance the sleeve strength and wear resistance, it is desired to add coatings o...
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A sleeve and its matched spindle are key components of a cotton picker, whose performances affect picking cotton efficiency directly. To enhance the sleeve strength and wear resistance, it is desired to add coatings on the inner surface of the sleeve. In this paper, influences of the coatings on the mechanical performances of the sleeve are investigated with fluid-structure interaction method. Mechanical performances of the sleeve are studied at the varied elastic modulus, Poisson's ratio, and thickness of the coating and different operating conditions. The numerical results show that both the amplitude and position of the von Mises stress and strain of the coated sleeve depend on the varied elastic modulus, Poisson's ratio, and thickness of coating. The coating effect on the sleeve is significant at a big eccentricity ratio or high rotational speed of the spindle.
In this paper we consider the numerical solution of the three-dimensional fluid-structure interaction problem in haemodynamics, in the case of real geometries, physiological data and finite elasticity vessel deformati...
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In this paper we consider the numerical solution of the three-dimensional fluid-structure interaction problem in haemodynamics, in the case of real geometries, physiological data and finite elasticity vessel deformations. We study some new inexact schemes, obtained from semi-implicit approximations, which treat exactly the physical interface conditions while performing just one or few iterations for the management of the interface position and of the fluid and structure non-linearities. We show that such schemes allow to improve the efficiency while preserving the accuracy of the related exact (implicit) scheme. To do this we consider both a simple analytical test case and two real cases of clinical interest in haemodynamics. We also provide an error analysis for a simple differential model problem when a BDF method is considered for the time discretization and only few Newton iterations are performed at each temporal instant. (C) 2014 Elsevier Inc. All rights reserved.
Numerical difficulties are present in the particle finite element method even though it has been shown to be a powerful and effective approach to simulating fluid-structure interaction. To overcome problems of mass lo...
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Numerical difficulties are present in the particle finite element method even though it has been shown to be a powerful and effective approach to simulating fluid-structure interaction. To overcome problems of mass loss on the free surface and the added-mass effect, an improved fractional step method (FSM) that handles added-mass terms in a mathematically exact way is developed. A further benefit is that no assumptions regarding the structural response are made in handling added-mass terms, thus it is straightforward to incorporate material nonlinearity in fluid-structure interaction (FSI) under this approach. Patch tests and comparisons with experimental data are presented in order to verify and validate the improved FSM for FSI applications. The computational cost of this approach is shown to be negligible compared with the other aspects of the FSM, particularly when the size of the structure and the fluid-structure interface is small relative to the volume of fluid. Copyright (C) 2014 John Wiley & Sons, Ltd.
This research developed a new stress-based topology optimization method (STOM) for a steady-state fluid-structure interaction (FSI) problem that minimizes the volume subject to the local stress constraints. Despite nu...
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This research developed a new stress-based topology optimization method (STOM) for a steady-state fluid-structure interaction (FSI) problem that minimizes the volume subject to the local stress constraints. Despite numerous studies on STOM, challenging optimization issues related to stress-based topology optimization (TO) procedures for fluid-structure multiphysics systems still exist. Critical issues involved in creating a successful TO for an FSI structure include: the interpolation approach between the fluid equation and the structure equation with respect to locally defined design variables, the mutual multiphysics coupling boundary conditions at dramatically evolving interfacing boundaries, and a clear interpretation of the governing equations and the interaction boundary conditions for spatially varying intermediate design variables. In addition to these three issues, which are related to multiphysics equations, there are three important considerations related to the STOM: the stress singularity issue, the issues of multiple constraints and the highly nonlinear behavior of the stress constraints. To resolve all of the aforementioned issues, we applied a monolithic analysis, integrating the qp-relaxation method and the global p-norm approach. Using the present method, we created optimal layouts that minimize the volume constraining local stress values for a steady-state fluid and structural interaction system. (C) 2014 Elsevier B.V. All rights reserved.
This article presents an interface-energy-conserving coupling strategy for transient fluid-structure interaction. The solid sub-domain is discretized by finite element method with Newmark time integrator, whereas for ...
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This article presents an interface-energy-conserving coupling strategy for transient fluid-structure interaction. The solid sub-domain is discretized by finite element method with Newmark time integrator, whereas for the fluid sub-domain we use the mesh-less method SPH-ALE with 2nd order Runge-Kutta scheme. This paper proposes a method to impose a mean interface normal velocity continuity in such a way that the algorithmic interface energy is zero during the whole period of numerical simulation. This coupling method thus ensures that the coupled problem shall be stable in time. Secondly it will converge in time with the rate of convergence of the worst time integrator chosen for each problem. The proposed method is first applied to a mono-dimensional problem by which we investigate the phenomena of propagation of shock waves across the fluid-structure interface. A good agreement is observed between the numerical result and the analytical solution in the 1D shock wave propagation test cases. Finally, a multidimensional example is presented and compared to another coupling approach. (C) 2014 Elsevier Ltd. All rights reserved.
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