Modeling and simulation of cars in frontal collision

Deac, Sorin; Perescu, Alexandru; Simoiu, Dorin; Nyaguly, Eva; Crastiu, Ion; Bereteu, Liviu

doi:10.1088/1757-899x/294/1/012090

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…Figure 6 illustrates a notable observation: when the parameter 𝛽 is set to 0.3, the Root Mean Square Error (RMSE), as described by Eq (16) pertaining to the gravitational constant, reaches its minimum value. This figure provides insight into the relationship between 𝛽 and 𝐺, demonstrating a direct proportionality between the two while ensuring that 𝛽 remains below the threshold of 1.…”

Section: Effects Of Varying Beta Parameters (β)mentioning

confidence: 99%

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Enhanced Modeling of Crumple Zone in Vehicle Crash Simulation Using Modified Kamal Model Optimized with Gravitational Search Algorithm

Zubir,

Hudha,

Kadir

et al. 2023

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The effectiveness of a vehicle crash system depends on how well it can simulate the behavior of a real vehicle in a crash scenario and accurately identifies the correct working limits of the model parameters, including mass, spring, and damper. Therefore, this study explores the modelling vehicle front crumple zone to represent the behaviors of real crash scenario. The modelling process using Kamal approach is used to develop a precise vehicle crash model for analyzing the impact of a collision on both the vehicle and its passengers. In this study, a complex mass-spring-damper system representing the front crumple zone of an actual car is re-designed to modify the existing vehicle crash model. The gravitational search algorithm (GSA) is implemented in the simulation model's code to obtain optimized values of damping coefficient (c) and spring constant (k). The simulation results show that the deformation response of crumple zone and the deceleration response of vehicle body match the experimental results, indicating the model's accuracy. Additionally, this study investigates the effects of varying the GSA parameters' number of agents (N), the beta parameter (β), and the gravitational constant (G) to improve the model's accuracy by minimizing the root mean square error (RMSE) between model response and crash test data. The optimal GSA parameter chosen in this study were N = 50, β = 0.3, and G = 20 with the lowest RMSE of 22.3874, 22.26664, and 23.86638 respectively.

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Section: Effects Of Varying Beta Parameters (β)mentioning

confidence: 99%

“…This modeling process is based on observations of the front crumple zone of an actual vehicle system, considering the parts of the car that are affected in a front collision. This approach is expected to yield improved results as it captures the precise behavior of the vehicle collision [16].…”

Section: Modified Kamal Modelmentioning

confidence: 99%

Enhanced Modeling of Crumple Zone in Vehicle Crash Simulation Using Modified Kamal Model Optimized with Gravitational Search Algorithm

Zubir,

Hudha,

Kadir

et al. 2023

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“…This equivalent model study the impact behavior of cars with a non-deformable barrier at a velocity of 50 km/h [5]. The mass and stiffness of the springs were estimated from the literature, according [1], [2], [3], [4], [5], [9]. In figure 1 the notations represent: mn -the unformed mass of the passenger compartment and the rear compartment (starting from the front of the passenger compartment to the rear wheels); mbmass of the non-deformable barrier mgmp -mass of the engine-propeller unit (engine, clutch, gearbox, axle); msfs / msfd -mass of left / right front subassemblies (corresponding to front wheels and suspension and steering system); k1d/k1sthe elastic constant that make the connection between mn and msfs/msfd; k2d/k2s -the elastic constant that make the connection between mgmp and msfs/msfd; k3d/k3s -the elastic constant that make the connection between mn and mb; k4 -the elastic constant that make the connection between mgmp and mb; k5d/k5s -the elastic constant that make the connection between msfs/msfd and mb; k6 -the elastic constant that make the connection between mn and mgmp; xndisplacement of the undeformed part; xgmp -displacement of the powertrain; xsfs/xsfd -displacement of the left / right front subassemblies.…”

Section: Mathematical Model Of Mass-spring Type For the Study Of The ...mentioning

confidence: 99%

“…The initial conditions impused on the system are: mn=1200 kg; mgmp=200 kg; msfs=40 kg; msfd=40 kg; k1s=200000 N/m; k1d=200000 N/m; k2s=475000 N/m; k2d=475000 N/m; k3s=140000 N/m; k3d=140000 N/m; k4=1100000 N/m; k5s=270000 N/m; k5d=270000 N/m; k6=270000 N/m; v=13,89 m/s (V= 50 km/h) [1], [2], [3], [4], [5], [9].…”

Section: Mathematical Model Of Mass-spring Type For the Study Of The ...mentioning

confidence: 99%

Analytical model for the frontal impact with a non-deformable barrier

Manea

Iozsa²,

Molea³

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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According to the literature, a relatively simple models have been developed, capable of simulating the front compartment (FC) integrity during a frontal impact (FI) of a vehicle. These models, known as the Lumped Mass-Spring (LMS), approximates the main subassemblies of the vehicle using a simplified mass-spring system. The paper shows a analytical model for study of the FI behavior of the vehicle with a fixed non-deformable barrier. The principal subassemblies of the FC are approximate with concentrated mass points. These concentrated masses are connected by elastic elements. The generalized coordinates of the displacements of the centers of gravity of the bodies in the longitudinal direction are set. The equations of motion will be obtained based on Lagrange’s generalized equations. Initial conditions are required for the model. Solving the system of differential equations is done using the modeling and simulation environment provided by the Matlab Simulink program. Finally, the evolution of the system’s deformation, speed and deceleration over time is graphically represented.

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Finding trace evidence through scope reduction and applying its straightforwardness in traffic accident investigation

Lee

2023

Forensic Science International: Reports

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Modeling and simulation of cars in frontal collision

Cited by 3 publications

References 2 publications

Enhanced Modeling of Crumple Zone in Vehicle Crash Simulation Using Modified Kamal Model Optimized with Gravitational Search Algorithm

Enhanced Modeling of Crumple Zone in Vehicle Crash Simulation Using Modified Kamal Model Optimized with Gravitational Search Algorithm

Analytical model for the frontal impact with a non-deformable barrier

Finding trace evidence through scope reduction and applying its straightforwardness in traffic accident investigation

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