Collaborative Optimization of Vehicle Crashworthiness under Frontal Impacts Based on Displacement Oriented Structure

Liu, Xi; Liang, Rui; Hu, Yuling; Tang, Xuebang; Bastien, Christophe; Ruibin, Zhang

doi:10.1007/s12239-021-0115-2

Cited by 10 publications

(5 citation statements)

References 33 publications

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“…70% of the frontal collisions, the most common form of collision, are offset collisions [21][22][23][24]. In the existing collision assessment procedures, the collision angle is mainly concentrated within 0° to 30°, such as the 0° collision proposed by C-NCAP and Euro-NCAP and the 15° / 30° collision angles proposed by FMVSS208.…”

Section: Methodsmentioning

confidence: 99%

Effectiveness analysis of a foldable booster safety seat with integrated seatbelt buckle for reducing children’s vehicle accident injury risk

Liang

Liu

et al. 2022

International Journal of Crashworthiness

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：Vehicle collisions may result in severe injuries to child passengers. These accidents are of concern to the automotive community; hence child restraint systems are now subjected to legislative requirements. New foldable child safety seats are a new technology that has the potential for spacesaving whilst protecting children from injuries. For the first time, this paper proposes to evaluate the safety of such a foldable seat, considering multiple frontal impact directions. The research created a baseline 6-year-old HybridIII child sled test computer model, built from a correlated vehicle rear seat cabin interior environment model and including its crash pulse characteristics, in which various seat safety configurations were evaluated. A total of seven scenarios were investigated, considering no booster seat, a traditional booster seat, and a foldable booster seat, combined with different impact angles, including frontal impact (0°), near and far side impacts (15° and 30°). In each scenario, the child kinematics, seatbelt to neck interaction, head acceleration, HIC15, and chest acceleration were extracted as metrics to determine the safety effectiveness of the foldable booster seat. The study concluded that the foldable booster seat reduced the risk of neck entrapment as well as better restrained the dummy in its seat. While the head acceleration, HIC15, and chest acceleration may slightly increase, injury responses caused by the foldable booster seat are still well within safe margins.This study suggests that foldable booster seats are innovative and practical and have the potential, pending more research, to protect children in frontal collisions better.

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Section: Methodsmentioning

confidence: 99%

Effectiveness analysis of a foldable booster safety seat with integrated seatbelt buckle for reducing children’s vehicle accident injury risk

Liang

Liu

et al. 2022

International Journal of Crashworthiness

Self Cite

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show abstract

“…Once a failure occurs, it is necessary to invest huge manpower and material resources in maintenance. With the development trend of higher and higher reliability requirements for mechanical products in various fields and smaller and smaller reliability test samples, the existing reliability evaluation methods have gradually failed to meet the engineering requirements on some occasions [11][12][13][14][15][16][17].…”

Section: Nomenclature G(s)mentioning

confidence: 99%

Dynamic Reliability Evaluation and Life Prediction of Transmission System of Multi-Performance Degraded Wind Turbine

Yuan¹,

Chen²,

Li³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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Wind power is a kind of important green energy. Thus, wind turbines have been widely utilized around the world. Wind turbines are composed of many important components. Among these components, the failure rate of the transmission system is relatively high in wind turbines. It is because the components are subjected to aerodynamic loads for a long time. In addition, its inertial load will result in fatigue fracture, wear and other problems. In this situation, wind turbines have to be repaired at a higher cost. Moreover, the traditional reliability methods are difficult to deal with the above challenges when performing the reliability analysis of the transmission system of wind turbines. To solve this problem, a stress-strength interference model based on performance degradation is introduced. Based on considering the strength degradation of each component, the improved Monte Carlo method simulation based on the Back Propagation neural network is used to obtain the curve of system reliability over time. Finally, the Miner linear cumulative damage theory and the Carten-Dolan cumulative damage theory method are used to calculate the cumulative damage and fatigue life of the gear transmission system.

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“…Thus, a machine learning optimization method was adopted herein to seek improved crush performance. The optimal Latin hypercube sampling (Opt LHS) could be employed to effectively generate the sample points in a crashworthiness performance study [43,44]. The Opt LHS method was thus utilized to generate 150 sample points considering variations in the selected design variables based on the previous research and experience [22].…”

Section: Design Of Experimentsmentioning

confidence: 99%

A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators

Liang

Liu

et al. 2023

International Journal of Crashworthiness

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Rectangular-hole-type crush initiators have attracted much attention due to their exceptional advantages in improving crashworthiness performance. Unfortunately, undesired deformation buckling modes i.e., bifurcation buckling, can occur and challenge optimization processes. This paper aims remedies to this limitation and proposes a machine learning based optimization method that removes these undesired deformation modes to effectively evaluate the effect of initiators' parameters in improving crush response. First, finite element models of square tubes with different numbers and positions of initiators were built and computed. Second, the complex proportional assessment (COPRAS) method was adopted to rank the crashworthiness characteristics. The results demonstrated that square tubes with two sets of four corner holes along the axial direction were the best choice. Finally, the optimization method based on machine learning was employed to evaluate the influence of the initiator's size on the crushing behaviors for minimizing the initial peak force (IPF), maximizing the energy absorption (EA), and crushing force efficiency (CFE). The results illustrated that the IPF of the optimized design Pareto front upper limit is about 21.94% lower, with 0.08% and 36.67% higher EA and CFE, respectively, than those of the best choice observed from COPRAS. This study highlights the ability of the proposed machine learning based optimization method to improve crashworthiness performance.

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Collaborative Optimization of Vehicle Crashworthiness under Frontal Impacts Based on Displacement Oriented Structure

Abstract: Author post-print (accepted) deposited by Coventry University's Repository

Cited by 10 publications

References 33 publications

Effectiveness analysis of a foldable booster safety seat with integrated seatbelt buckle for reducing children’s vehicle accident injury risk

Effectiveness analysis of a foldable booster safety seat with integrated seatbelt buckle for reducing children’s vehicle accident injury risk

Dynamic Reliability Evaluation and Life Prediction of Transmission System of Multi-Performance Degraded Wind Turbine

A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators

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