A general nonlinear order-reduction method based on the referenced nodal coordinate formulation for a flexible multibody system. (July 2023)

• Record Type: Journal Article
• Authors: Yuan, Tengfei; Fan, Wei; Ren, Hui
• Is Part Of: Mechanism and machine theory. Volume 185(2023)
• Publication Date: 2023-07
• Subjects: Nonlinear order-reduction method -- Referenced nodal coordinate formulation -- Modal derivatives -- Flexible multibody system -- High-speed rotation; Machine theory -- Periodicals; Machinery -- Periodicals; Machines -- Périodiques; Génie mécanique -- Périodiques; Machine theory; Machinery; Periodicals; 621.81
• DOI: 10.1016/j.mechmachtheory.2023.105290
• Languages: English
• ISSNs: 0094-114X

Abstract

Highlights: A nonlinear order-reduction method is developed for flexible multibody systems. The details to calculate the modal derivatives are provided. Geometrically nonlinear elastic forces are explicitly retained. The degrees of freedom are greatly reduced while retaining the high accuracy. The proposed method is applicable for beams, plates, and other structures. Abstract: An accurate and efficient formulation is favorable for dynamic analysis and control in the field of the flexible multibody system. This paper proposes a general nonlinear order-reduction method that can tackle overall motions and large deformations with a significant decrease in degrees of freedom, by incorporating the modal derivative techniques into the referenced nodal coordinate formulation (RNCF) developed earlier. To compute the modal derivatives straightforwardly, the closed-form expression of the tangent stiffness matrix's derivative is obtained. The elastic forces are expressed as cubic polynomials of modal coordinates, such that the geometric nonlinear deformations are explicitly expressed. The effectiveness of the proposed method is validated by several numerical examples. The presented geometrically nonlinear order-reduction method can achieve a great accuracy with a much fewer number of generalized coordinates, and it also inherits the large time step-sizes of the RNCF in dealing with large deformations and high-speed rotations.