Parametrized formulations of Hamilton's law for numerical solutions of dynamic problems: Part I. Global approximation

Many dynamic problems can be solved numerically by using Hamilton's law. The solution is expressed as a series in the time domain with undetermined coefficients. The unknown coefficients are determined by satisfying the Hamilton's law when the solution is allowed to have certain types of v...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computational mechanics Ročník 21; číslo 6; s. 441 - 448
Hlavní autoři: Sheng, G., Fung, T. C., Fan, S. C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Heidelberg Springer 01.06.1998
Berlin Springer Nature B.V
Témata:
Differential equations
Exact sciences and technology
Formulations
Fundamental areas of phenomenology (including applications)
Parameterization
Physics
Solid dynamics (ballistics, collision, multibody system, stabilization...)
Solid mechanics
Rigid bodies
Variational calculus
Hamiltonian mechanics
Numerical method
Dynamical system
Initial value problem
ISSN:0178-7675, 1432-0924
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Many dynamic problems can be solved numerically by using Hamilton's law. The solution is expressed as a series in the time domain with undetermined coefficients. The unknown coefficients are determined by satisfying the Hamilton's law when the solution is allowed to have certain types of variations. The advantage of the method is that it can directly generate a set of algebraic equations without considering the dynamic equilibrium or the governing differential equations. In this paper, the essential features of the Hamilton's law and its variations are re-examined from the numerical perspectives. A general version of variation is proposed and the parametrized formulations are presented. The parametrized formulations unify conventional formulations and also yield many new ones. Illustrative numerical examples in this paper demonstrate that the conventional formulations may not be optimal although they may be rational.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0178-7675
1432-0924
DOI:10.1007/s004660050323