Development of lumped-parameter mathematical models for a vehicle localized impact

Pawlus, Witold; Karimi, Hamid Reza; Robbersmyr, Kjell G.

doi:10.1007/s12206-011-0505-x

Cited by 41 publications

(28 citation statements)

References 18 publications

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“…The discrepancies are observed in the velocity and displacements plots, however they stay within the reasonable limits. Please note that to visualize the effectiveness of the method presented in this work, the results are compared with the ones presented in [34]. In [34] vehicle crash was modeled as a viscoelastic system consisting of a mass, spring, and damper in two different arrangements (parallel connection: so called Kelvin model, and in series connection: so called Maxwell model).…”

Section: Results Of Validationmentioning

confidence: 99%

A fuzzy logic approach to modeling a vehicle crash test

2012

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This paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The basics of fuzzy set theory and modeling principles based on fuzzy logic approach are presented. In particular, exceptional attention is paid to explain the methodology of creation of a fuzzy model of a vehicle collision. Furthermore, the simulation results are presented and compared to the original vehicle's kinematics. It is concluded which factors have influence on the accuracy of the fuzzy model's output and how they can be adjusted to improve the model's fidelity. Keywords

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Section: Results Of Validationmentioning

confidence: 99%

A fuzzy logic approach to modeling a vehicle crash test

2012

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“…The ultimate goal of the safety engineer is to reduce occupant harm. The field of road traffic accidents has been also approached under various aspects in [7][8][9][10][11][12][13][14][15]. Many models have been used and improved along the years to analyze vehicle deformation.…”

Section: General Outlinesmentioning

confidence: 99%

The influence of triggers geometry upon the stiffness of cylindrical thin walled tubes

Șoica

Radu

2014

Open Engineering

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Today's automobile manufacturers are increasingly using lightweight materials to reduce weight; these include plastics, composites, aluminium, magnesium alloys, and also new types of high strength steels. Many of these materials have limited strength or ductility, therefore in many cases the rupture being serious consequences during crashes, underscore Picketta et al. in their studies. Automotive structures must deform plastically in a short period of time, a few milliseconds, to absorb the crash energy in a controllable manner. It must be light and enable economically mass-production [1]. FE models rapidly gained acceptance among engineers. Many other factors facilitated the development of vehicle models by shell finite elements since most of the geometry of the structural surfaces was already on computer graphic files. Kee Poong Kim and Hoon Huh emphasize that the crashworthiness of each vehicle part needs to be evaluated at the initial stage of design for good performance of an assembled vehicle. As the dynamic behaviour of structural members is different from the static one, the crashworthiness of the vehicle structures has to be assessed by impact analysis. The paper analyzes the influence of trigger geometry upon the compression of thin-walled cylindrical tubes. Simulations performed on a simple model showed the dependence between triggers area and deformation times as well as the maximum deformations obtained for various speeds at which the simulations ware carried out. Likewise, the geometry of trigger leads to different results.

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“…From the crash pulse analysis, we obtain the data listed in Table 3. In this approach, we present the methodology to create viscoelastic models of vehicle crash according to [14]. We start with simulation of the vehicle to pole impact by using the simple mass-spring model, and then we extend the analysis to socalled Kelvin model (spring and damper in parallel connected to mass).…”

Section: Real Crash Pulse Analysismentioning

confidence: 99%

“…The secondary approach frequently utilized in vehicle crash modeling is lumped parameter modeling of viscoelastic systems [8][9][10][11][12][13][14][15][16]. Structural parameters of models like damping or stiffness are estimated based on a given crash scenario.…”

Section: Introductionmentioning

confidence: 99%

Investigation of vehicle crash modeling techniques: theory and application

Pawlus

Karimi

Robbersmyr

2013

Int J Adv Manuf Technol

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Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this work, a brief overview of different vehicle crash modeling methodologies is proposed. The acceleration of a colliding vehicle is measured in its center of gravity-this crash pulse contains detailed information about vehicle behavior throughout a collision. A virtual model of a collision scenario is established in order to provide an additional data set further used to evaluate a suggested approach. Three different approaches are discussed here: lumped parameter modeling of viscoelastic systems, data-based approach taking advantage of neural networks and autoregressive models and wavelet-based method of signal reconstruction. The comparative analysis between each method's outcomes is performed and reliability of the proposed methodologies and tools is evaluated.

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Development of lumped-parameter mathematical models for a vehicle localized impact

Cited by 41 publications

References 18 publications

A fuzzy logic approach to modeling a vehicle crash test

A fuzzy logic approach to modeling a vehicle crash test

The influence of triggers geometry upon the stiffness of cylindrical thin walled tubes

Investigation of vehicle crash modeling techniques: theory and application

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