Frontal crashworthiness characterisation of a vehicle segment using curve comparison metrics

Abellán-López, D.; Sanchez-Lozano, Miguel; Martínez-Sáez, L.

doi:10.1016/j.aap.2018.04.017

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Two minimum objective functions are set to reduce collision acceleration and body mass, including acceleration peak at the lower end of B-pillar and mass m of the vehicle. In order to control the damage of vehicle body deformation to the occupant's chest, head, foot, and other parts, the response function at relevant positions is restrained within acceptable level, such as the intrusion D1, D2, and D3 separately at the instrument panel tube beam, the steering column hole, and the lower dash panel clutch pedal [34,35].…”

Section: Multiobjective Optimization Of Minibus Collisionmentioning

confidence: 99%

Application of Improved Particle Swarm Optimization in Vehicle Crashworthiness

Gao

Chen

2019

Mathematical Problems in Engineering

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In the optimization design process, particle swarm optimization (PSO) is limited by its slow convergence, low precision, and tendency to easily fall into the local extremum. These limitations make degradation inevitable in the evolution process and cause failure of finding the global optimum results. In this paper, based on chaos idea, the PSO algorithm is improved by adaptively adjusting parameters r1 and r2. The improved PSO is verified by four standard mathematical test functions. The results prove that the improved algorithm exhibits excellent convergence speed, global search ability, and stability in the optimization process, which jumps out of the local optimum and achieves global optimality due to the randomness, regularity, and ergodicity of chaotic thought. At last, the improved PSO algorithm is applied to vehicle crash research and is used to carry out the multiobjective optimization based on an approximate model. Compared with the results before the improvement, the improved PSO algorithm is remarkable in the collision index, which includes vehicle acceleration, critical position intrusion, and vehicle mass. In summary, the improved PSO algorithm has excellent optimization effects on vehicle collision.

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Section: Multiobjective Optimization Of Minibus Collisionmentioning

confidence: 99%

Application of Improved Particle Swarm Optimization in Vehicle Crashworthiness

Gao

Chen

2019

Mathematical Problems in Engineering

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Traumatic Impact Assessment of CPR Load on a Human Ribcage

Aguilar-Peréz

Miguel

Ceccarelli

et al. 2022

IJERPH

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Chest compression is a parameter of injury criteria assessment for human beings. Additionally, it is used to find the external compression response as a result of vehicle crashes, falls, or sporting impacts. This behavioral feature is described by many deterministic models related to specific experimental tests, hindering distinct scenarios. The present study evaluates the energy absorbed as a function of rib compression. The proposed model was obtained from three different computed tomography (CT) studies. The anthropometric values are interpolated to obtain a parametric curve for a human rib’s average size. The computed results are compared against an STL-DICOM® file used to obtain a virtual reconstruction of one rib. A numerical model of the behavior of the thorax displacement expressed injury in the human rib model’s stiffness. The proposed model is used to determine the correlation of the input payload versus the numerical stiffness value. The outcome is confirmed by numerical analyses applied to a virtual human rib reconstruction.

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