LS-DYNA 3D Interface Component Analysis to Predict FMVSS 208 Occupant Responses

Babu, Venkatesh; Thomson, Kevin; Sakatis, Costas

doi:10.4271/2003-01-1294

Cited by 6 publications

(1 citation statement)

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“…Structural analysis methods can be used to construct complex numerical models (e.g., LS-DYNA [1] and PAM-CRASH [2]) to determine vehicle structural deformations after crashes. To use these models, a large set of vehicle component and material properties must be provided.…”

Section: Introductionmentioning

confidence: 99%

Collision model for vehicle motion prediction after light impacts

Zhou

Peng

Lǚ

2008

Vehicle System Dynamics

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This article presents a collision model that predicts vehicle motions after a light impact. The focus of this work is on the characterisation of changes in vehicle kinematic states due to the impact; hence detailed analysis of vehicle component deformations is disregarded. Colliding vehicles are each modelled as rigid bodies with four degrees of freedom (longitudinal, lateral, yaw, and roll), which is different from the approach commonly used in the literature. The energy loss during impacts is accounted for through an empirical coefficient of restitution. In contrast to the conventional momentum-conservation-based method, the proposed approach takes tyre forces into account. Improved model prediction accuracy is demonstrated through numerical examples. The developed collision model is useful for the prediction of post-impact vehicle dynamics and the development of enhanced vehicle safety systems.

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Section: Introductionmentioning

confidence: 99%

Collision model for vehicle motion prediction after light impacts

Zhou

Peng

Lǚ

2008

Vehicle System Dynamics

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Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives

Wang,

Zhang

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles

Wang

Cao

2022

Chin. J. Mech. Eng.

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There is an increasing awareness of the need to reduce traffic accidents and fatality due to vehicle collision. Post-impact hazards can be more serious as the driver may fail to maintain effective control after collisions. To avoid subsequent crash events and to stabilize the vehicle, this paper proposes a post-impact motion planning and stability control method for autonomous vehicles. An enabling motion planning method is proposed for post-impact situations by combining the polynomial curve and artificial potential field while considering obstacle avoidance. A hierarchical controller that consists of an upper and a lower controller is then developed to track the planned motion. In the upper controller, a time-varying linear quadratic regulator is presented to calculate the desired generalized forces. In the lower controller, a nonlinear-optimization-based torque allocation algorithm is proposed to optimally coordinate the actuators to realize the desired generalized forces. The proposed scheme is verified under comprehensive driving scenarios through hardware-in-loop tests.

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LS-DYNA 3D Interface Component Analysis to Predict FMVSS 208 Occupant Responses

Cited by 6 publications

References 0 publications

Collision model for vehicle motion prediction after light impacts

Collision model for vehicle motion prediction after light impacts

Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives

Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles

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