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    Extended constraint enforcement formulations for finite-DOF systems based on Gauss’s principle of least constraint: Overcoming limitations in applications to systems with singular mass matrices

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    Artigo de Periódico
    Date
    2020
    Author
    Orsino, Renato Maia Matarazzo
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    Abstract
    This paper aims to contribute to formulations of mathematical models for finite-DOF systems based on the Gauss’s principle of least constraint. A new theorem allows to extend the definition of the Gaussian deviation function, overcoming, without requiring any change of variables, algebraic limitations that arise when this principle is applied to systems for which the generalized mass matrices become singular under relaxation of constraints. As a result of this new theorem, the recursive constraint enforcement algorithm based on Udwadia–Kalaba equation, proposed within the scope of the modular modeling methodology for finite-DOF systems, is generalized. Finally, in a case study based on the classical problem of a knife-edge disc rolling in a plane, three constraint enforcement strategies that combine the application of the theorem herein proposed with conventional numerical integration methods have its results confronted, in two simulation scenarios, with those obtained from a benchmark model of this system. © 2020, Springer Nature B.V.
    1. Analytical mechanics
    2. Constraint enforcement
    3. Gauss’s principle
    4. Modular modeling methodology
    5. Udwadia–Kalaba equation
    6. Benchmarking
    7. Gaussian distribution
    8. Numerical methods
    9. Change of variables
    10. Classical problems
    11. Deviation function
    12. Enforcement strategy
    13. Generalized mass
    14. Numerical integration methods
    15. Principle of least constraints
    16. Recursive constraints
    17. Matrix algebra
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091384968&doi=10.1007%2fs11071-020-05924-9&partnerID=40&md5=1161873b839d2773dc494d05d4ba98f3
    https://repositorio.maua.br/handle/MAUA/1370
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