Sensitivity analysis and optimization for occupant safety in automotive frontal crash test

Abstract

Nowadays, safety is a competitive advantage for automotive products and therefore receives considerable attention by automotive research centers. In this paper, a frontal crash test of sedan product of an under development platform is simulated and occupant head injuries are investigated based on ECE R94 regulation. First, an initial evaluation of the crash behavior of the sedan car is carried out and then airbag, dummy and seat belt are added to the model to study occupant head injuries under crash test. In this study, peak head acceleration and head injury criteria (HIC36) are considered as two output parameters based on ECE R94 regulation. Considering these two output parameters, sensitivity analysis and optimization are performed using Taguchi and analysis of variance (ANOVA) methods. In this way, airbag distance to dummy, trigger time, initial inflator gas temperature and tank pressure are considered as input parameters. Obtained results show that in all computer experiments designed by Taguchi responses values satisfy the requirements of ECE R94. Two different out-of-position conditions are considered by reducing the distance between dummy and airbag relative to the optimum design obtained by Taguchi. The worst case of design and its response values are also predicted using Taguchi. Finally, re-evaluating finite element analyses are performed based on the optimum and the worst cases. The results of these simulations show the validity of approach of this paper.

Exploring the Influencing Factors and Formation of the Blind Zone of a Semitrailer Truck in a Right-Turn Collision

“…In order to quantitatively assess the risk level of the collision, we chose the parameters of head acceleration and head injury criterion (HIC) as indicators of the degree of injury to the rider. It is worth noting that the standard HIC36 (t 2 − t 1 ≤ 36 ms) threshold for head tolerance is 1000 [39], which when exceeded indicates that the object will be seriously injured or killed in the crash. The variation pattern of head acceleration with time for a two-wheeled rider in fiv collision scenarios was drawn in Figure 13.…”

Multi-objective optimization of an automobile seat frame based on collision condition and gray fuzzy decision

“…The lightweight technology of automobile and its parts is an effective means to reduce energy consumption and emissions. Some researchers have exerted extensive effort in this area, but most of them have studied issues related to anti-collision beams, and door structures [1][2] . However, the seat frame is the main load-bearing structure of the car seat assembly, with the highest mass ratio, and is the main research object in the field of seat lightweighting.…”

Optimization Study of Driver Crash Injuries Considering the Body NVH Performance

“…As research in this domain has deepened, several scholars have made significant strides in tackling this issue. By analyzing energy transfer pathways during crashes and optimizing vehicle structures, material thickness, and related factors, researchers have achieved notable improvements in terms of crash safety [32][33][34][35][36][37]. However, previous optimization studies have focused primarily on enhancing crash safety without adequately considering other critical vehicle properties.…”