A vehicle model for crash stage simulation

Vangi, Dario; Begani, Filippo; Gulino, Michelangelo-Santo; Spitzhüttl, Florian

doi:10.1016/j.ifacol.2018.04.018

Cited by 14 publications

(12 citation statements)

References 11 publications

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“…To highlight the potential of an adaptive logic of intervention in terms of road safety enhancement, the development of an appropriate virtual environment for the SiL implementation is required, allowing to simulate the process in Figure 3. As reported in Section 2.3, the fundamental part of the cycle is the outcome retrieval associated with the single activation: with a view to an HiL implementation onboard the vehicle, by a RODM software 51 a database including the outcomes associated with each braking and steering manoeuvre has been compiled, for many critical scenarios. The RODM simulation software, developed in LabVIEW, is based on the discretization of the sole vehicle perimeter through 2D beam elements, with constitutive equations similar to the ones employed in FEM models; stiffness of different vehicle sections is derived based on the deformation sustained in different crash test configurations.…”

Section: Application Of the Adaptive Logicmentioning

confidence: 99%

Adaptive intervention logic for automated driving systems based on injury risk minimization

Vangi

Virga

Gulino

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Performance improvement of advanced driver assistance systems yields two major benefits: increasingly rapid progress towards autonomous driving and a simultaneous advance in vehicle safety. Integration of multiple advanced driver assistance systems leads to the so-called automated driving system, which can intervene jointly on braking and steering to avert impending crashes. Nevertheless, obstacles such as stationary vehicles and buildings can interpose between the opponent vehicles and the working field of advanced driver assistance systems’ sensors, potentially resulting in an inevitable collision state. Currently available devices cannot properly handle an inevitable collision state, because its occurrence is not subject to evaluations by the system. In the present work, criteria for intervention on braking and steering are introduced, based on the vehicle occupants’ injury risk. The system must monitor the surrounding and act on the degrees of freedom adapting to the evolution of the scenario, following an adaptive logic. The model-in-the-loop, software-in-the-loop and hardware-in-the-loop for such adaptive intervention are first introduced. To highlight the potential benefits offered by the adaptive advanced driver assistance systems, simulation software has been developed. The adaptive logic has been tested in correspondence of three inevitable collision state conditions between two motor vehicles: at each instant, the adaptive logic attitude of creating impact configurations associated with minimum injury risk is ultimately demonstrated.

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Section: Application Of the Adaptive Logicmentioning

confidence: 99%

Adaptive intervention logic for automated driving systems based on injury risk minimization

Vangi

Virga

Gulino

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The LS-DYNA finite element software is considered industry standard for both crash simulation and modeling [16]. ANSYS LS-DYNA [21] offers much higher usability especially for ANSYS user base. Importing the LS-DYNA Finite element model to ANSYS through database system conversion [21] insures high usability and simplicity of use to apply modifications and perform many crash studies.…”

Section: Finite Element Modelmentioning

confidence: 99%

“…ANSYS LS-DYNA [21] offers much higher usability especially for ANSYS user base. Importing the LS-DYNA Finite element model to ANSYS through database system conversion [21] insures high usability and simplicity of use to apply modifications and perform many crash studies. The structure of the imported model is shown in Fig.…”

Section: Finite Element Modelmentioning

confidence: 99%

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On the Evaluation of “Nhtsa” Automotive Fe Model in Head on Crash Using Ansys Ls-Dyna System Against “Iihs” Test.

Salem

2019

Journal of Al-Azhar University Engineering Sector

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Simulations of automotive crash are now a well-established instrument for ensuring occupants safety at most types of crash scenarios and improving the car design accordingly when needed. Many Automotive crash simulation's systems are available currently, where each system strives to attain ease of use, high accuracy, and consuming the least possible computer time in running the crash scenario. However, most of these systems are used independently. A unique exception of these systems is ANSYS LS-DYNAYwhere the two systems can be used as one unit in ANSYS explicit module, where one can combine the ease of use of ANSYS with the world class suite of LS-DYNA.This system is quite straightforward to modify the car model, change elements attributes, redefine the elements integration rule, and spotweld definitions to achieve less running time while keeping almost the same accuracy. This paper presents an evaluation of a modified National Highway Traffic Safety Administration (NHTSA) finite element model of Ford truck structure.The model structure is first imported to ANSYS LS-DYNA simulation system to facilitate its handling, modification, and applying different simulation scenarios. Then after modification, it is evaluated through the following three steps: first, evaluated against the ability to rollover almost free of stresses, second, evaluated in a head on crash test at low speeds such as 5 miles/hours.This scenario can happen while moving out of the drive way or in a parking lot area, and third, evaluated in a head on crash test against rigid fixed barrier with 35 miles/hour test simulating the Insurance institute for highway safety (IIHS) test. The results show that the modified model is quite capable of capturing the main characteristics of the three tests adequately.

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“…Another fast and accurate method based on Reduced Order Dynamic Model [26], in which discretization of vehicle's perimeter takes place only in a 2D environment. It reduces the number of equation and thus reduce time calculation.…”

Section: Introductionmentioning

confidence: 99%

Impact of Disabled Driver’s Mass Center Location on Biomechanical Parameters during Crash

Sybilski

Małachowski

2021

Applied Sciences

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Adapting a car for a disable person involves adding additional equipment to compensate for the driver’s disability. During this process, the change in the driver’s position and kinematics and their impact on safety levels during crash is not considered. There is also a lack of studies in the literature on this problem. This paper describes a methodology for conducting a study of the behavior of a disabled driver during a crash using the finite element method, based on an explicit time integration method. A validated car model and a commercial dummy model were used. The results show that the use of a handle on the steering wheel and a hand control unit causes dangerous lateral displacements relative to the seat. Amputation of the left leg or right arm causes significant shoulder rotations, amputation of the left leg causes increased thoracic loads. Amputation or additional equipment have no significant impact on head injuries.

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A vehicle model for crash stage simulation

Cited by 14 publications

References 11 publications

Adaptive intervention logic for automated driving systems based on injury risk minimization

Adaptive intervention logic for automated driving systems based on injury risk minimization

On the Evaluation of “Nhtsa” Automotive Fe Model in Head on Crash Using Ansys Ls-Dyna System Against “Iihs” Test.

Impact of Disabled Driver’s Mass Center Location on Biomechanical Parameters during Crash

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