An efficient approach for the numerical simulation of multibody systems
The field of kinematics and dynamics of mechanical systems has progressed from a manual graphics art to a highly developed discipline in analytical geometry and dynamics. Various general purpose formulations for the dynamic analysis of Constrained Mechanical Systems (CMS) lead to mixed Differential-...
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Veröffentlicht in: | Applied mathematics and computation 1998-06, Vol.92 (2), p.195-218, Article 195 |
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description | The field of kinematics and dynamics of mechanical systems has progressed from a manual graphics art to a highly developed discipline in analytical geometry and dynamics. Various general purpose formulations for the dynamic analysis of Constrained Mechanical Systems (CMS) lead to mixed Differential-Algebraic Equations (DAEs) called the Euler-Lagrange equations. During the past fifteen years many contributions have been made to the theory of computational kinematics and dynamics of CMS (also called Mutibody dynamics). The recent advances in computer hardware and software have tremendously revolutionized the analysis of CMS. There are various numerical approaches for solving general vector fields. In the previous paper [Appl. Math. Comput. 92 (1998) 153–193] a complete and detailed analysis of various approaches for the numerical solution of vector fields is given. In this paper we extend the algorithms presented in the above mentioned reference to solve the Euler-Lagrange equations of motion for CMS. The numerical experiments suggest that perturbation approach performs ‘better’ than the other approaches. |
doi_str_mv | 10.1016/S0096-3003(97)10041-8 |
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Various general purpose formulations for the dynamic analysis of Constrained Mechanical Systems (CMS) lead to mixed Differential-Algebraic Equations (DAEs) called the Euler-Lagrange equations. During the past fifteen years many contributions have been made to the theory of computational kinematics and dynamics of CMS (also called Mutibody dynamics). The recent advances in computer hardware and software have tremendously revolutionized the analysis of CMS. There are various numerical approaches for solving general vector fields. In the previous paper [Appl. Math. Comput. 92 (1998) 153–193] a complete and detailed analysis of various approaches for the numerical solution of vector fields is given. In this paper we extend the algorithms presented in the above mentioned reference to solve the Euler-Lagrange equations of motion for CMS. 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The numerical experiments suggest that perturbation approach performs ‘better’ than the other approaches.</description><subject>Constraint stabilization</subject><subject>Differential-algebraic equations</subject><subject>Euler-Lagrange equations</subject><subject>Local parameterization</subject><subject>Manifolds</subject><subject>Multibody systems</subject><subject>Numerical ODEs</subject><subject>Vector fields</subject><issn>0096-3003</issn><issn>1873-5649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKs_QchJ9LCaj91sFg9Silah4EE9h2x2QiO7m5pkhf57t6148NLTzOF9XmYehC4puaWEirs3QiqRcUL4dVXeUEJymskjNKGy5Fkh8uoYTf4ip-gsxk9CSCloPkGLWY_BWmcc9Anr9Tp4bVbY-oDTCnA_dBCc0S2OrhtanZzvsbd43JOrfbPBcRMTdPEcnVjdRrj4nVP08fT4Pn_Olq-Ll_lsmRnOZcpqYIISRmsjGMlZw1llKRRlSaUEAzpnOeSlBFo0DZVFDaSyTQ01tYyBIJZP0dW-dzz0a4CYVOeigbbVPfghKlYWVAouxmCxD5rgYwxg1Tq4ToeNokRttamdNrV1oqpS7bQpOXL3_zjj0u7vFLRrD9IPexpGB98OgopbswYaF8Ak1Xh3oOEHpouHng</recordid><startdate>19980615</startdate><enddate>19980615</enddate><creator>Sudarsan, R.</creator><creator>Sathiya Keerthi, S.</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19980615</creationdate><title>An efficient approach for the numerical simulation of multibody systems</title><author>Sudarsan, R. ; Sathiya Keerthi, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-be261021bc62042d329f1e577188ecea424e478e15dd185be09fdbeb1f22e60f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Constraint stabilization</topic><topic>Differential-algebraic equations</topic><topic>Euler-Lagrange equations</topic><topic>Local parameterization</topic><topic>Manifolds</topic><topic>Multibody systems</topic><topic>Numerical ODEs</topic><topic>Vector fields</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sudarsan, R.</creatorcontrib><creatorcontrib>Sathiya Keerthi, S.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Applied mathematics and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sudarsan, R.</au><au>Sathiya Keerthi, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An efficient approach for the numerical simulation of multibody systems</atitle><jtitle>Applied mathematics and computation</jtitle><date>1998-06-15</date><risdate>1998</risdate><volume>92</volume><issue>2</issue><spage>195</spage><epage>218</epage><pages>195-218</pages><artnum>195</artnum><issn>0096-3003</issn><eissn>1873-5649</eissn><abstract>The field of kinematics and dynamics of mechanical systems has progressed from a manual graphics art to a highly developed discipline in analytical geometry and dynamics. 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subjects | Constraint stabilization Differential-algebraic equations Euler-Lagrange equations Local parameterization Manifolds Multibody systems Numerical ODEs Vector fields |
title | An efficient approach for the numerical simulation of multibody systems |
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