2021
DOI: 10.1007/s11044-021-09794-w
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A validated railway vehicle interior layout with multibody dummies and finite element seats models for crash analysis

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Cited by 11 publications
(2 citation statements)
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“…Multibody dynamics provides a methodological framework for the representation of complex structural arrangements in crashworthiness, as used in the development of vehicle models for frontal and side impacts [ 11 ]. It also provides accurate and efficient methodologies for the description of the large rigid body motion of the anatomical segments and mechanisms of the ATD [ 12 , 13 ]. However, non-linear finite element methods have an unsurpassed ability to represent all details of the structural deformations being directly linked to geometric modeling software that enables the generation of complex models with simplicity [ 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Multibody dynamics provides a methodological framework for the representation of complex structural arrangements in crashworthiness, as used in the development of vehicle models for frontal and side impacts [ 11 ]. It also provides accurate and efficient methodologies for the description of the large rigid body motion of the anatomical segments and mechanisms of the ATD [ 12 , 13 ]. However, non-linear finite element methods have an unsurpassed ability to represent all details of the structural deformations being directly linked to geometric modeling software that enables the generation of complex models with simplicity [ 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…A three-dimensional system of rigid bodies with holonomic, rheonomic constraints has a number of degrees of freedom of [ 13 ]. MB models can be used for kinematic and kinetic analysis, including the structural response of vehicles [ 14 ] and the prediction of kinematic response [ 15 ] and biomechanical loading [ 16 ] of humans. (iii) Finite element (FE) methods in crashworthiness deal with geometry, material, constraint, and contact nonlinearities, making solving such models more difficult and computationally costly.…”
Section: Introductionmentioning
confidence: 99%