A model partitioning method based on dynamic decoupling for the efficient simulation of multibody systems
(2015) In Multibody System Dynamics 34(2). p.163-190- Abstract
- The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a... (More)
- The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a structural analysis of the model, that is general with respect to any possible simulation scenario, and a subsequent decoupled integration, which can conversely be (easily) tailored to the study at hand. Also, since the technique does not aim at reducing but rather at partitioning the model, the state space and the physical interpretation of the dynamic variables are inherently preserved. Moreover, the proposed analysis allows to define some novel indices relative to the separability of the system, thereby extending the idea of “stiffness” in a way that is particularly keen to its use for the improvement of simulation efficiency, be the envisaged integration scheme monolithic, parallel, or even based on co-simulation. Finally, thanks to the way the analysis phase is conceived, the technique is naturally applicable to both linear and nonlinear models. The paper contains a methodological presentation of the proposed technique, that is related to alternatives available in the literature so as to evidence the peculiarities just sketched, and some application examples, illustrating the achieved advantages and motivating the major design choice from an operational viewpoint. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4359431
- author
- Papadopoulos, Alessandro Vittorio LU and Leva, Alberto
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Efficient Simulation, Weak Coupling, Multibody Systems
- in
- Multibody System Dynamics
- volume
- 34
- issue
- 2
- pages
- 163 - 190
- publisher
- Springer
- external identifiers
-
- wos:000354212400003
- scopus:84929522245
- ISSN
- 1384-5640
- DOI
- 10.1007/s11044-014-9415-x
- language
- English
- LU publication?
- yes
- additional info
- The paper is in press.
- id
- d00a35c8-7d79-4212-b95c-4176046cd83a (old id 4359431)
- date added to LUP
- 2016-04-01 13:36:06
- date last changed
- 2022-01-27 20:04:05
@article{d00a35c8-7d79-4212-b95c-4176046cd83a,
abstract = {{The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a structural analysis of the model, that is general with respect to any possible simulation scenario, and a subsequent decoupled integration, which can conversely be (easily) tailored to the study at hand. Also, since the technique does not aim at reducing but rather at partitioning the model, the state space and the physical interpretation of the dynamic variables are inherently preserved. Moreover, the proposed analysis allows to define some novel indices relative to the separability of the system, thereby extending the idea of “stiffness” in a way that is particularly keen to its use for the improvement of simulation efficiency, be the envisaged integration scheme monolithic, parallel, or even based on co-simulation. Finally, thanks to the way the analysis phase is conceived, the technique is naturally applicable to both linear and nonlinear models. The paper contains a methodological presentation of the proposed technique, that is related to alternatives available in the literature so as to evidence the peculiarities just sketched, and some application examples, illustrating the achieved advantages and motivating the major design choice from an operational viewpoint.}},
author = {{Papadopoulos, Alessandro Vittorio and Leva, Alberto}},
issn = {{1384-5640}},
keywords = {{Efficient Simulation; Weak Coupling; Multibody Systems}},
language = {{eng}},
number = {{2}},
pages = {{163--190}},
publisher = {{Springer}},
series = {{Multibody System Dynamics}},
title = {{A model partitioning method based on dynamic decoupling for the efficient simulation of multibody systems}},
url = {{https://lup.lub.lu.se/search/files/3471168/4610323.pdf}},
doi = {{10.1007/s11044-014-9415-x}},
volume = {{34}},
year = {{2015}},
}