Three- And Four-Mass Models for Vehicle Front Crumple Zone

Lukoševičius, Vaidas; Keršys, Robertas; Keršys, Artūras; Makaras, Rolandas; Jablonskyt, Janina

doi:10.21307/tp-2020-035

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Introduced this way the phenomenological conception eliminates the necessity of knowledge about experimental car body parameters like stiffness and damping coefficients. Those parameters are neglected, when someone decides to use the multimas model in analytical crumple zone modelling, like Lukoševičius et al [27] and can be determined in the numerical way (FEM "Finite Element Method" investigations), like work of Lankarani and McCoy [23].…”

Section: The Phenomenological Methodsmentioning

confidence: 99%

“…Research is also focused on collision modelling. Lukoševičius et al [27] presented three and four mass dynamic models of crumple zone for passenger cars during a frontal impact. The linear stiffness in the initial stage of the vehicle body deformation and then the ideal plastic deformation of the crush zone were assumed resulting in the body stiffness which then increases to infinity.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Approach for Vehicle Body Structures Behaviour Under Crash at Aspects of Overloading and Crumple Zone Length

Kurpisz

Obst

Szymczak

et al. 2023

Acta Mechanica Et Automatica

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Road safety problem is still topical, especially since the number of vehicles and the volume of traffic are increasing. It is possible to increase the safety of road users through systemic changes in many areas related to transport. The deformation of the vehicle body during an accident has an impact on the loads acting on the passengers. Vehicle body deformation depends on complex parameters, and knowledge of these parameters is essential for designing crumple zones and the accident reconstruction process. Knowledge of the mechanical parameters of the vehicle structure during deformation is also a reference to passenger injury indicators assessment. This paper reports results from the analytical approach for determining the protection level of personal vehicles. The proposed conception is based on the results from the static stiffness characteristic of the Ford Taurus, which gives the possibility of phenomenological and simple body crumple analytical description at a speed equal to 10 km/h, 40 km/h, 56 km/h and 60 km/h, which is an original part of the work. The approach enables us to describe the vehicle crash by focusing on variations of deformation in time, stiffness, vehicle collision time (duration), deceleration and dynamic crash force. Basing on the body stiffness data of the personal vehicle, the length of the deformation zone in the front of the car and the maximum values of force at the crash for a speed of 60 km/h are presented. Results obtained by the authors show that is possible to estimate the overloading level during the crash time of a vehicle based on the stiffness characteristic of the car body. The proposed methodology can be developed and the advantage of the presented procedure is an uncomplicated useful tool for solving complex problems of a vehicle crash.

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Section: The Phenomenological Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical Approach for Vehicle Body Structures Behaviour Under Crash at Aspects of Overloading and Crumple Zone Length

Kurpisz

Obst

Szymczak

et al. 2023

Acta Mechanica Et Automatica

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“…Surviving harsh landings and release mechanisms: As we discuss in Section 2, for contested environments where deployments need to be discreet (fast and minimal radio frequency signatures to minimize probability of detection by adversarial forces), an additional design challenge is in creating mechanisms for the robots to survive the landings on ground (after being air-deployed). While crumple zone-like designs [26] may be effective, a related challenge is in designing appropriate mechanisms for the robot to then release itself from the contraptions that help them survive the landing.…”

Section: Tradeoffs In Multi-resolution Semantic Segmentationmentioning

confidence: 99%

AirDrop

Jayarajah

Gart

Gangopadhyay

2023

Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications

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Driven by advances in deep neural network models that fuse multimodal input such as RGB and depth representations to accurately understand the semantics of the environments (e.g., objects of different classes, obstacles, etc.), ground robots have gone through dramatic improvements in navigating unknown environments. Relying on their singular, limited perspective, however, can lead to suboptimal paths that are wasteful and quickly drain out their batteries, especially in the case of long-horizon navigation. We consider a special class of ground robots, that are air-deployed, and pose the central question: can we leverage aerial perspectives of differing resolutions and fields of view from air-to-ground robots to achieve superior terrain-aware navigation? We posit that a key enabler of this direction of research is collaboration between such robots, to collectively update their route plans, leveraging advances in long-range communication and on-board computing. Whilst each robot can capture a sequence of high resolution images during their descent, intelligent, lightweight pre-processing on-board can dramatically reduce the size of the data that needs to be shared among its peers over severely bandwidth-limited long range communication channels (e.g., over sub gigahertz frequencies). In this paper, we discuss use cases and key technical challenges that must be resolved to realize our vision for collaborative, multi-resolution terrain-awareness for air-to-ground robots. CCS CONCEPTS• Computer systems organization → Embedded and cyberphysical systems;

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