A road vehicle multibody model for crash simulation based on the plastic hinges approach to structural deformations

Ambrósio, Jorge; Dias, João Paulo Tadeu

doi:10.1533/ijcr.2006.0171

Cited by 20 publications

(9 citation statements)

References 6 publications

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“…Ambrosio et al [53] developed a full vehicle crash model using an MBS with plastic hinge deformation. The entire vehicle is represented by kinematic joints, data for hinge deformation were derived from CAD data and finite element simulations.…”

Section: Multi-body Modelsmentioning

confidence: 99%

Mathematical models for assessment of vehicle crashworthiness: a review

Noorsumar

Rogovchenko

Robbersmyr

et al. 2021

International Journal of Crashworthiness

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This article reviews approaches to mathematical modeling of a vehicle crash. The growing focus on vehicle and occupant safety in car crashes has triggered the need to study vehicle crashworthiness in the initial stages of vehicle development. The major motivation for this work is to support vehicle crashworthiness design during the product development process.The article is divided into two parts; the first one overviews existing mathematical models used to solve engineering problems. The second part describes modeling strategies applied for replicating non-linear vehicle crash event and occupant kinematics in an occupant protection loadcase. We also highlight alternative modeling strategies using hybrid modeling techniques aimed at the improvement of the vehicle development process.

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Section: Multi-body Modelsmentioning

confidence: 99%

Mathematical models for assessment of vehicle crashworthiness: a review

Noorsumar

Rogovchenko

Robbersmyr

et al. 2021

International Journal of Crashworthiness

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show abstract

“…In automotive and aerospace crashworthiness analysis where an impact is highly dynamic with a range of structures interacting with the human body, multibody system (MBS) modeling is widely adopted [22][23][24][25]. These MBS models are only for blunt impact force evaluation, not for the modelling of penetration or laceration injuries.…”

Section: Mbs Modelling and Simulation Of Dji Phantom III Impact Of Human Headmentioning

confidence: 99%

Modeling and Simulating Human Fatality due to Quadrotor UAS Impact

Rattanagraikanakorn

Blom

Sharpanskykh

et al. 2020

Aiaa Aviation 2020 Forum

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Evaluating safety risk posed to third parties on the ground due to UAS impact requires a model of probability of fatality (PoF) for human. For quadrotor UAS, the existing impact models predict remarkably different PoFs. The most pessimistic is the impact model adopted by Range Commanders Council (RCC) while the Blunt Criterion model is far more optimistic. The ASSURE study has assessed the third set of PoF values through conducting controlled drop tests of a DJI Phantom III on a crash dummy; these results differ again. To investigate these discrepancies, this paper employs a numerical impact analysis of UAS collisions on humans. The current paper is the third in a series of studies. The first study developed a Multi-Body System (MBS) simulation model of a DJI Phantom III impacting the head of a crash dummy; this MBS model has been validated against the experimental drop test results of ASSURE. The second study conducted simulations with the validated MBS model to systematically show the differences in head and neck injuries if the human dummy is replaced by a validated MBS model of a human body. The aim of the current paper is threefold: i) to extend the latter MBS model to assess injury levels for DJI Phantom III impact on thorax and abdomen; ii) to transform the assessed injury levels for head, thorax and abdomen to PoFs; and iii) to compare the MBS obtained PoFs to those from RCC and Blunt Criteria models. The MBS based results show that variations in the scenario of DJI Phantom III impact on the head significantly affect PoF. These variations are not captured by the RCC or BC model, and neither in the ASSURE measurements. Both for head, thorax and abdomen, in case of comparable impact scenarios, the RCC model tends to over-predicts PoF compared to the MBS model, while the BC model tends to under-predict PoF.

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“…At the end of the twentieth century, the technological development of computers took this methodology to a new level, with figures such as Shabana, Pfeiffer, Nikravesh or Lankarani, who started the modern MSD [2][3][4][5][6][7]. Nowadays, its applications are countless: robotics [8,9], mechanical components analysis [10,11], vehicle dynamics [12][13][14], biomechanical studies [15][16][17], among others [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear phenomena of contact in multibody systems dynamics: a review

et al. 2021

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In the present work, an introduction to the contact phenomena in multibody systems is made. The different existing approaches are described, together with their most distinctive features. Then, the term of coefficient of restitution is emphasized as a tool to characterize impact events and the algorithm for calculating the relative indentation between two convex-shaped bodies is developed. Subsequently, the main penalty contact models developed in the last decades are presented and developed, analysing their advantages and drawbacks, as well as their respective applications. Furthermore, some models with specific peculiarities that could be useful to the reader are included. The aim of this work is to provide a resource to the novice researcher in the field to facilitate the choice of the appropriate contact model for their work.

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A road vehicle multibody model for crash simulation based on the plastic hinges approach to structural deformations

Cited by 20 publications

References 6 publications

Mathematical models for assessment of vehicle crashworthiness: a review

Mathematical models for assessment of vehicle crashworthiness: a review

Modeling and Simulating Human Fatality due to Quadrotor UAS Impact

Nonlinear phenomena of contact in multibody systems dynamics: a review

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