Symbolic multibody methods for real-time simulation of railway vehicles
In this work, recently developed state-of-the-art symbolic multibody methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of virtual power. Creep forces are modeled using a direct symbolic implementation of the stan...
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Veröffentlicht in: | Multibody system dynamics 2018-04, Vol.42 (4), p.469-493 |
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creator | Ros, Javier Plaza, Aitor Iriarte, Xabier Pintor, Jesús María |
description | In this work, recently developed state-of-the-art
symbolic multibody
methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of virtual power. Creep forces are modeled using a direct symbolic implementation of the standard linear Kalker model. No simplifications, such as base parameter reduction, partial-linearization or lookup tables for contact kinematics, are used. An Implicit–Explicit integration scheme is proposed to efficiently deal with the stiff creep dynamics. Real-time performance is achieved: the CPU time required for a very robust
1
ms
integration time step is 203 μs. |
doi_str_mv | 10.1007/s11044-017-9608-1 |
format | Article |
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symbolic multibody
methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of virtual power. Creep forces are modeled using a direct symbolic implementation of the standard linear Kalker model. No simplifications, such as base parameter reduction, partial-linearization or lookup tables for contact kinematics, are used. An Implicit–Explicit integration scheme is proposed to efficiently deal with the stiff creep dynamics. Real-time performance is achieved: the CPU time required for a very robust
1
ms
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symbolic multibody
methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of virtual power. Creep forces are modeled using a direct symbolic implementation of the standard linear Kalker model. No simplifications, such as base parameter reduction, partial-linearization or lookup tables for contact kinematics, are used. An Implicit–Explicit integration scheme is proposed to efficiently deal with the stiff creep dynamics. Real-time performance is achieved: the CPU time required for a very robust
1
ms
integration time step is 203 μs.</description><subject>Automotive Engineering</subject><subject>Computer simulation</subject><subject>Control</subject><subject>Dynamical Systems</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Kinematics</subject><subject>Lookup tables</subject><subject>Mechanical Engineering</subject><subject>Model testing</subject><subject>Optimization</subject><subject>Real time</subject><subject>Vibration</subject><issn>1384-5640</issn><issn>1573-272X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAURS0EEqXwA9giMRvecxzbGVHFl1SJgQ5slmM71FVSFzsF9d-TKkhMTO8O594nHUKuEW4RQN5lROCcAkpaC1AUT8gMK1lSJtn76ZhLxWklOJyTi5w3AAwrXs_I09uhb2IXbNHvuyE00R2K3g_r6HLRxlQkbzo6hN4XOYyEGULcFrEtkgndtzkUX34dbOfzJTlrTZf91e-dk9Xjw2rxTJevTy-L-yW1JYqBWmjrCqypXVtbkMo13IimsbVjqIxnTPLSo2PQKgUClbDSyUqBcVJx5OWc3EyzuxQ_9z4PehP3aTt-1AwQhRSyrEcKJ8qmmHPyrd6l0Jt00Aj6qEtPuvSoSx91aRw7bOrkkd1--PS3_H_pB6iDbUk</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Ros, Javier</creator><creator>Plaza, Aitor</creator><creator>Iriarte, Xabier</creator><creator>Pintor, Jesús María</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-9223-3498</orcidid></search><sort><creationdate>20180401</creationdate><title>Symbolic multibody methods for real-time simulation of railway vehicles</title><author>Ros, Javier ; Plaza, Aitor ; Iriarte, Xabier ; Pintor, Jesús María</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-c0f950ca9df9c078db4a6bbc9d218ae22743e1d20f8806186c7d7580ad784143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Automotive Engineering</topic><topic>Computer simulation</topic><topic>Control</topic><topic>Dynamical Systems</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Kinematics</topic><topic>Lookup tables</topic><topic>Mechanical Engineering</topic><topic>Model testing</topic><topic>Optimization</topic><topic>Real time</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ros, Javier</creatorcontrib><creatorcontrib>Plaza, Aitor</creatorcontrib><creatorcontrib>Iriarte, Xabier</creatorcontrib><creatorcontrib>Pintor, Jesús María</creatorcontrib><collection>CrossRef</collection><jtitle>Multibody system dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ros, Javier</au><au>Plaza, Aitor</au><au>Iriarte, Xabier</au><au>Pintor, Jesús María</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Symbolic multibody methods for real-time simulation of railway vehicles</atitle><jtitle>Multibody system dynamics</jtitle><stitle>Multibody Syst Dyn</stitle><date>2018-04-01</date><risdate>2018</risdate><volume>42</volume><issue>4</issue><spage>469</spage><epage>493</epage><pages>469-493</pages><issn>1384-5640</issn><eissn>1573-272X</eissn><abstract>In this work, recently developed state-of-the-art
symbolic multibody
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1
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subjects | Automotive Engineering Computer simulation Control Dynamical Systems Electrical Engineering Engineering Kinematics Lookup tables Mechanical Engineering Model testing Optimization Real time Vibration |
title | Symbolic multibody methods for real-time simulation of railway vehicles |
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