Leveraging parallel computing in multibody dynamics

Negrut, Dan; Tasora, Alessandro; Mazhar, Hammad; Heyn, Toby; Hahn, Philipp

doi:10.1007/s11044-011-9262-y

Cited by 54 publications

(29 citation statements)

References 21 publications

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“…In all simulations, if present, the flexible beams were modeled using n e = 4 ANCF beam elements, while the integrals appearing in the elastic forces Q e in Eq. (25) were evaluated using 5 and 3 Gauss quadrature points for the axial and bending elastic forces, respectively.…”

Section: Resultsmentioning

confidence: 99%

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A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

Pazouki¹,

Serban²,

Negrut³

2014

Archive of Mechanical Engineering

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This work outlines a unified multi-threaded, multi-scale High Performance Computing (HPC) approach for the direct numerical simulation of Fluid-Solid Interaction (FSI) problems. The simulation algorithm relies on the extended Smoothed Particle Hydrodynamics (XSPH) method, which approaches the fluid flow in a Lagrangian framework consistent with the Lagrangian tracking of the solid phase. A general 3D rigid body dynamics and an Absolute Nodal Coordinate Formulation (ANCF) are implemented to model rigid and flexible multibody dynamics. The twoway coupling of the fluid and solid phases is supported through use of Boundary Condition Enforcing (BCE) markers that capture the fluid-solid coupling forces by enforcing a no-slip boundary condition. The solid-solid short range interaction, which has a crucial impact on the small-scale behavior of fluid-solid mixtures, is resolved via a lubrication force model. The collective system states are integrated in time using an explicit, multi-rate scheme. To alleviate the heavy computational load, the overall algorithm leverages parallel computing on Graphics Processing Unit (GPU) cards. Performance and scaling analysis are provided for simulations scenarios involving one or multiple phases with up to tens of thousands of solid objects. The software implementation of the approach, called Chrono::Fluid, is part of the Chrono project and available as an open-source software.

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Section: Resultsmentioning

confidence: 99%

“…This approach has recently been employed in the context of multibody dynamics and particle suspension in [12,25,[29][30][31]33]. Specifically, the FSI methodology relying on Smoothed Particle Hydrodynamics (SPH) [16,19,22] and rigid body Newton-Euler equation of motion [10] was discussed in detail in [29,30].…”

Section: Introductionmentioning

confidence: 99%

A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

Pazouki¹,

Serban²,

Negrut³

2014

Archive of Mechanical Engineering

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“…8 and 9 show that the lateral buckling is triggered exactly at the same moment for all the formulations, although the Chrono::Engine integral is more damped. The numerical damping is a consequence of the fact that the Chrono::Engine default integrator is a timestepper for DVI non-smooth problems [24,25]. This, in the case of no frictional contacts, boils down to a linearlyimplicit first-order scheme, hence it shows the same damping effect of an implicit Euler method.…”

Section: Benchmark: Lateral Bucklingmentioning

confidence: 99%

Analysis of Rotating Systems Using General-Purpose Multibody Dynamics

Tasora

Masarati

2015

Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

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Abstract. This work illustrates the application of general-purpose multibody formulations to the analysis of rotating systems dynamics. Various benchmark problems encompassing multiple deformable components are presented and analyzed. The suitability of the approach is assessed and conclusions are drawn on the basis of correlating the numerical simulations with analogous examples from the open literature.

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“…4 To shorten the computing time, many commercial and open source dynamics software including ADAMS, ANSYS, MBDyn, and so on have introduced the idea of parallel computing. A lot of research work in parallel computing [4][5][6][7][8][9] is also investigated by scholars. D Negrut et al 5 concentrated on the use of commodity parallel computing in many-body frictional-contact dynamics, fluid-solid interaction analysis, and proximity computation.…”

Section: Introductionmentioning

confidence: 99%

Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems

Rui

Chen

et al. 2016

Advances in Mechanical Engineering

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The modeling and solving a transcendental eigenvalue problem are important issues in the transfer matrix method for linear multibody systems. Based on the recursive eigenvalue search algorithm for transfer matrix method for linear multibody system, the distributed parallel approach for assembling overall transfer matrix and searching eigenvalues is proposed. This is achieved based on Message Parallel Interface. The influence of the CPU core number as well as the distributed network environment on the final computational time is analyzed through numerical examples of both a nonuniform beam and a multiple launch rocket system. The results indicate that the computational time is significantly reduced by the proposed parallel computing method, so that the computational efficiency on optimization and design of complex multibody systems can be improved.

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Leveraging parallel computing in multibody dynamics

Cited by 54 publications

References 21 publications

A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

Analysis of Rotating Systems Using General-Purpose Multibody Dynamics

Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems

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