Computational rod model with user-defined nonlinear constitutive laws

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dc.contributor.author Fatehiboroujeni, Soheil
dc.contributor.author Palanthandalam-Madapusi, Harish
dc.contributor.author Goyal, Sachin
dc.date.accessioned 2018-08-23T05:49:51Z
dc.date.available 2018-08-23T05:49:51Z
dc.date.issued 2018-08
dc.identifier.citation Fatehiboroujeni, Soheil; Palanthandalam-Madapusi, Harish and Goyal, Sachin, "Computational rod model with user-defined nonlinear constitutive laws", Journal of Computational and Nonlinear Dynamics, DOI: 10.1115/1.4041028, Aug. 2018. en_US
dc.identifier.issn 1555-1415
dc.identifier.uri http://dx.doi.org/10.1115/1.4041028
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3858
dc.description.abstract Computational rod models have emerged as efficient tools to simulate the bending and twisting deformations of a variety of slender structures in engineering and biological applications. The dynamics of such deformations however strongly depends on the constitutive law in bending and torsion that in general may be nonlinear, and vary from material to material. Jacobian-based computational rod models require users to change the Jacobian if the functional form of the constitutive law is changed, and hence are not user-friendly. This paper presents a scheme that automatically modifies the Jacobian based on any user-defined constitutive law without requiring symbolic differentiation. The scheme is then used to simulate force-extension behavior of a coiled spring with a softening constitutive law.
dc.description.statementofresponsibility by Soheil Fatehiboroujeni, Harish Palanthandalam-Madapusi and Sachin Goyal
dc.language.iso en en_US
dc.publisher American Society of Mechanical Engineers en_US
dc.subject Constitutive equations en_US
dc.subject Jacobian matrices en_US
dc.subject Deformation en_US
dc.subject Torsion en_US
dc.subject Springs en_US
dc.subject Dynamics (Mechanics) en_US
dc.title Computational rod model with user-defined nonlinear constitutive laws en_US
dc.type Article en_US
dc.relation.journal Journal of Computational and Nonlinear Dynamics


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