Vehicles Frontal Impact Analysis Using Computer Simulation and Crash Test

Dima, Dragoş Sorin; Covaciu, Dinu

doi:10.1007/s12239-019-0062-3

Cited by 25 publications

(9 citation statements)

References 7 publications

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“…e suspension system consists of four massless parallel springs and dampers. Note that the details of the mathematical models (for vehicle trajectory and impact mechanism) have been explored and their validity and accuracy were confirmed in several studies [57][58][59][60][61]. More information about the PC-Crash model and mathematical model of the impact are explained in Appendix A. e impact parameters extracted from crash reconstruction simulations were then used to calculate more informative properties including injury risk and vehicle damage.…”

Section: Methodsmentioning

confidence: 93%

Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations

Seyedi

Koloushani

Jung

et al. 2021

Journal of Advanced Transportation

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In this study, we selected four real-world rear-end crash scenarios with different crash characteristics. The vehicles involved in those crashes were not equipped with any crash avoidance systems. We then used the accident reconstruction method to build those crash scenarios in PC-Crash software. Then, different FCW/AEB safety algorithms have been defined for a subject vehicle model in each crash scenario and each scenario was simulated for a set of input parameters such as vehicle speed, brake intensity, and driver reaction time. The range and distribution of input parameters were extracted from the related field crash data and available literature. A total number of 16000 simulations have been conducted which produced input-output datasets for further investigations. Finally, the effects of input parameters on simulation outcomes including crash occurrence, AEB activation, injury risk, and vehicle damage have been quantified using the Boruta algorithm. The results indicated that the overall effectiveness of the AEB system was a 57% reduction of rear-end crashes, a 52% reduction of injury severity (striking vehicle’s passengers), and a 47% reduction of damages for striking vehicles. The results also showed that the available AEB algorithms were more effective for the average speed equal to or less than 80 kmph. The speed of the subject vehicle, type of AEB algorithm, sensor detection range, and driver reaction time were the most important parameters on crash outcomes. In addition, the results indicated that the performance of FCW had a direct impact on the effectiveness of the AEB system for the integrated FCW + AEB system.

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Section: Methodsmentioning

confidence: 93%

Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations

Seyedi

Koloushani

Jung

et al. 2021

Journal of Advanced Transportation

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“…The vehicle mass is 1365 kg, and the energy absorption space in the front compartment is 0.68 m. The maximum intrusion value of the four intrusion measurement points on the upper part of the passenger compartment is taken as 34.2 cm in the simulation results of the vehicle as shown in Figure 11 [32]. It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28). Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28) to calculate the maximum longitudinal displacement of the vehicle as It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28).…”

Section: Verification Of Small Overlap Conditionmentioning

confidence: 99%

“…It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28). Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28) to calculate the maximum longitudinal displacement of the vehicle as It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28). Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28 It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28).…”

Section: Verification Of Small Overlap Conditionmentioning

confidence: 99%

“…Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28) to calculate the maximum longitudinal displacement of the vehicle as It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28). Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28 It is known that the energy absorption decomposition scheme of the front-end structure of the car body is shown in Equation (28). Take the crash pulse of the vehicle as shown in Figure 12 into the analytical model together with the decomposition scheme in Equation ( 28) to calculate the maximum longitudinal displacement of the vehicle as 1.0019 m. The maximum intrusion value of the passenger compartment calculated by the analytical model is 1.0019 − 0.68 = 0.3219 m, and the error with the maximum value of the upper intrusion of the passenger compartment of the finite element model is −5.88%.…”

Section: Verification Of Small Overlap Conditionmentioning

confidence: 99%

“…At present, it is mainly focused on the research of crash energy management methods of the vehicle front-end structure based on engineering experience in the FRB impact condition [27][28][29]. Considering the impact force transmission characteristics of FRB condition, the front-end structure of the vehicle is divided into space, and the crash pulse is decomposed according to the sub-space as the energy absorption target [12].…”

Section: Introductionmentioning

confidence: 99%

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Frontal Vehicular Crash Energy Management Using Analytical Model in Multiple Conditions

et al. 2022

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When it comes to frontal vehicular crash development, matching the stiffness of the front-end structures reasonably, i.e., impact energy management, can effectively improve the safety of the vehicle. A multi-condition analytical model for a frontal vehicular crash is constructed by a three-dimensional decomposition theory. In the analytical model, the spring is used to express the equivalent stiffness of the local energy absorption space at the front-end structure. Then based on the analytical model, the dynamic responses and evaluation indexes of the vehicle in MPDB and SOB conditions are derived with the input of the crash pulse decomposition scheme. Comparing the actual vehicle crash data and the calculation results of the proposed solution method, the error is less than 15%, which verifies validity of the modeling and the accuracy of the solution. Finally, based on the solution method in the MPDB and the SOB conditions, the sensitivities of the crash pulse decomposition scheme to evaluation indexes are analyzed to obtain qualitative rules which guide crash energy management. This research reveals the energy absorption principle of the front-end structure during the frontal impact process, and provides an effective optimization method to manage the multiple conditions of the vehicle crash energy such as the FRB (frontal rigid barrier), the MPDB (mobile progressive deformable barrier), and the SOB (small overlap barrier).

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An Ontology Approach to Support the Body-in-White Connection Points Documentation in an Automotive Industry

Borges¹,

Szejka²

2023

Proceedings of the 11th International Conference on Production Research – Americas

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Vehicles Frontal Impact Analysis Using Computer Simulation and Crash Test

Cited by 25 publications

References 7 publications

Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations

Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations

Frontal Vehicular Crash Energy Management Using Analytical Model in Multiple Conditions

An Ontology Approach to Support the Body-in-White Connection Points Documentation in an Automotive Industry

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