4.7 Article

A Dynamic Partitioning Method to solve the vehicle-bridge interaction problem

期刊

COMPUTERS & STRUCTURES
卷 251, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2021.106547

关键词

Vehicle-bridge interaction; Dynamic Lagrange multipliers; Analytical dynamics; Numerical stability

资金

  1. Hong Kong PhD Fellowship Scheme 2017/2018 [PF16-07238]
  2. Hellenic Foundation for Research and Innovation (HFRI)
  3. General Secretariat for Research and Innovation (GSRI) [617]

向作者/读者索取更多资源

This paper presents a Dynamic Partitioning Method (DPM) for solving the vehicle-bridge interaction (VBI) problem using a set of second-order ordinary differential equations (ODEs). The method introduces auxiliary contact bodies, dynamic representation of motion constraints, and reduces computational cost in numerical applications for large vehicle-bridge systems. Compared to existing methods, DPM is both accurate and cost-efficient in handling VBI problems.
This paper presents a Dynamic Partitioning Method (DPM) to solve the vehicle-bridge interaction (VBI) problem via a set of exclusively second-order ordinary differential equations (ODEs). The partitioning of the coupled VBI problem follows a localized Lagrange multipliers approach that introduces auxiliary contact bodies between the vehicle's wheels and the sustaining bridge. The introduction of contact bodies, instead of merely static points, allows the assignment of proper mass, damping and stiffness properties to the involved constrains. These properties are estimated in a systematic manner, based on a consistent application of Newton's law of motion to mechanical systems subjected to bilateral constraints. In turn, this leads to a dynamic representation of motion constraints and associated Lagrange multipliers. Subsequently, both equations of motion and constraint equations yield a set of ODEs. This ODE formulation avoids constraint drifts and instabilities associated with differential-algebraic equations, typically adopted to solve constrained mechanical problems. Numerical applications show that, when combined with appropriate numerical analysis schemes, DPM can considerably decrease the computational cost of the analysis, especially for large vehicle-bridge systems. Thus, compared to existing methods to treat VBI, DPM is both accurate and cost-efficient. (C) 2021 Elsevier Ltd. All rights reserved.

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