Analysis of Chosen Aspects of a Two-Car Crash Simulation

2012 ◽  
pp. 34-44 ◽  
Author(s):  
Jarosław Zalewski ◽  
Jerzy Kisilowski
Keyword(s):  
Crash Simulation ◽  
Car Crash

scholarly journals Empirical Study of Car Crash Simulation Analysis within the Development Phase

2019 ◽  
Vol 1 (1) ◽  
pp. 2843-2852 ◽  
Author(s):  
Naouress Fatfouta ◽  
Julie Stal-Le Cardinal ◽  
Christine Royer
Keyword(s):  
Empirical Study ◽  
Qualitative Analysis ◽  
Simulation Analysis ◽  
Development Phase ◽  
Vehicle Model ◽  
Crash Simulation ◽  
Automotive Company ◽  
Car Crash ◽  
Industrial Context ◽  
Current Practices

AbstractCar crash simulation analysis is an important phase within the vehicle development. It intends to analyse the crashworthiness of the vehicle model and examine the level of passive security. However, this activity is not trivial because of the considerable collaboration within the project, the large amount of analysed and exchanged data and a high exigency. Consequently, a solution to assist, ease and reduce the time of the process is desired.To study the current practices followed in the car crash simulation analysis an empirical study has been conducted. This study has been applied within the simulation analysis team, in the development phase, within an automotive company. This paper describes a qualitative analysis of the industrial context and diagnoses the dysfunctions in the current practices. This paper also highlights the current challenges encountered in the car crash simulation analysis.

scholarly journals Development of impact attenuator analysis tools in crash scenario using Euler method and finite element analysis

2022 ◽  
Vol 69 (1) ◽  
Author(s):  
Malik Athafarras ◽  
Djati Wibowo Djamari ◽  
Muhamad Rausyan Fikri ◽  
Bentang Arief Budiman ◽  
Farid Triawan ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Simulation Method ◽  
Euler Method ◽  
Element Analysis ◽  
Time Model ◽  
Crash Simulation ◽  
Car Crash ◽  
Element Simulation ◽  
The Impact

AbstractThe problem considered in this work is the development of simulation method for simulating car crash which utilizes simple car—impact attenuator model developed in MATLAB. Usually, car crash simulation is done using full finite element simulation which could take hours or days depending on the model size. The purpose of proposed method is to achieve quick results on the car crash simulation. Past works which utilizes simple car—impact attenuator model to simulate car crash use continuous time model and the impact attenuator parameter is obtained from the experimental results. Different from the related works, this work uses discrete time model, and the impact attenuator parameter is obtained from finite element simulation. Therefore, the proposed simulation method is not only achieving quick simulation results but also minimizing the cost and time in obtaining the impact attenuator parameter. The proposed method is suitable for parametric study of impact attenuator.

scholarly journals TOWARDS A FRAMEWORK FOR INTEGRATED AND COLLABORATIVE KNOWLEDGE MANAGEMENT FOR ENGINEERING DESIGN – A CASE STUDY

2020 ◽  
Vol 1 ◽  
pp. 559-568
Author(s):  
N. Fatfouta ◽  
J. Stal-Le Cardinal
Keyword(s):  
Knowledge Management ◽  
Design Process ◽  
Simulation Analysis ◽  
Management Approach ◽  
Crash Simulation ◽  
Car Crash ◽  
Collaborative Knowledge Management ◽  
Knowledge Intensive ◽  
Time Required

AbstractIn automotive industry, the design process is costly and time-consuming. Car safety is a crucial factor in the development of a vehicle, which is why crash simulation is an essential step in the design process. To improve car crash simulation analysis, it is necessary to reduce the time required and support the resolution of encountered design issues. We propose a knowledge management approach to support car crash simulation analysis and ensure the collaboration of different stakeholders. In a knowledge-intensive context, we used an ontology-based approach to formalise and capture knowledge.

scholarly journals Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods

2013 ◽  
Vol 18 ◽  
pp. 621-630 ◽  
Author(s):  
Bastian Bohn ◽  
Jochen Garcke ◽  
Rodrigo Iza-Teran ◽  
Alexander Paprotny ◽  
Benjamin Peherstorfer ◽  
...  
Keyword(s):  
Machine Learning ◽  
Simulation Data ◽  
Learning Methods ◽  
Crash Simulation ◽  
Machine Learning Methods ◽  
Car Crash
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