Model denoising based on absolute node coordinate method

ZHANG Zhigang1,2, ZHOU Xiang1,2, MAO Hongsheng1,2, WANG Shengyong1, SONG Huitao3

Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (11) : 139-146.

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PDF(1878 KB)
Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (11) : 139-146.

Model denoising based on absolute node coordinate method

  • ZHANG Zhigang1,2, ZHOU Xiang1,2, MAO Hongsheng1,2, WANG Shengyong1, SONG Huitao3
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Abstract

Absolute nodal coordinate formulation (ANCF) is successfully applied in dynamic problems’ modeling and simulation of large deformation flexible multibody system.However, due to many node parameters and containing complex high-order modes, the system dynamic equation’s stiff problem is prominent.The core step of the existing widely used implicit algorithm is to filter high-frequency response with numerical damping, but the solving efficiency is not satisfactory.Here, based on the idea to filter high frequency components in modeling, the instantaneous stress in virtual power of elastic force was replaced by the average stress in a short time period to derive the absolute nodal coordinate element model denoising formulation containing additional inertia term and additional damping term.Through adjusting time interval length parameter of the average stress, high frequency components in the system equation could be eliminated, and the conventional explicit algorithm could be applied in simulation solving of traditional stiff problems.Numerical examples showed that the proposed absolute nodal coordinate element model denoising formulation can greatly reduce solving difficulty of numerical simulation, ensure calculation accuracy and improve calculation efficiency.

Key words

absolute nodal coordinate formulation (ANCF) / high frequency / stiff problem / numerical damping / virtual power of elastic force

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ZHANG Zhigang1,2, ZHOU Xiang1,2, MAO Hongsheng1,2, WANG Shengyong1, SONG Huitao3. Model denoising based on absolute node coordinate method[J]. Journal of Vibration and Shock, 2021, 40(11): 139-146

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