Computational Method of the Stiffness Coefficients A and B in the Case of Frontal Impact from the Results of the Crash Tests

Syad, Badr Ait; Salmani, E.; Ez‐Zahraouy, H.; Benyoussef, Abedlilah

doi:10.1007/s13177-021-00266-1

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…a rigid obstacle [26,29,33]. During the impact, there are no elastic deformations, therefore the vehicle's kinetic energy is fully used on the chassis deformation work [11,32,35].…”

Section: Tensor Product Methods Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class

Gosławski

Madziara

Droś

et al. 2022

The Archives of Automotive Engineering – Archiwum Motoryzacji

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Presented paper discusses new approach to EES parameter determination in frontal car crash based on the tensor product of Legendre polynomials. In this paper Subcompact Car Class was analyzed using that method. Data that was used to perform analyses introduced in this paper was taken from National Highway Traffic Safety Administration (NHTSA) database. Such database consists of considerate number of test cases along with various information including vehicle mass, crash velocity, chassis deformation etc. New approach to the problem of determining the EES parameter was necessary due to the low accuracy of the currently used methods. Linear models used up till now for accident reconstruction show significant error as the relationship between mass, velocity and deformation cannot be well approximated with a flat plane. Proposed model produces better results, because of the nonlinear dependence of said parameters. This paper also includes a calculation example presenting a comparison of linear and nonlinear method on an actual crash test.

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“…a rigid obstacle [26,29,33]. During the impact, there are no elastic deformations, therefore the vehicle's kinetic energy is fully used on the chassis deformation work [11,32,35].…”

Section: Tensor Product Methods Descriptionmentioning

confidence: 99%

“…The EES parameter represents the velocity, that is all absorbed to deformation of the vehicle impacting a rigid obstacle [26,29,33]. During the impact, there are no elastic deformations, therefore the vehicle's kinetic energy is fully used on the chassis deformation work [11,32,35].…”

Section: Introductionmentioning

confidence: 99%

Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class

Gosławski

Madziara

Droś

et al. 2022

The Archives of Automotive Engineering – Archiwum Motoryzacji

View full text Add to dashboard Cite

show abstract

“…The EES parameter represents the energy, that is used on deformation of the vehicle while impacting a rigid obstacle [26,29,33]. During impact, if the velocity exceeds 11.5…”

Section: Tensor Product Methods Descriptionmentioning

confidence: 99%

“…The EES parameter represents the energy, that is used on deformation of the vehicle while impacting a rigid obstacle [26,29,33]. During impact, if the velocity exceeds 11.5 km h then only plastic deformations occur, and the entire kinetic energy accumulated by the vehicle is transferred to deformation work.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear method of precrash vehicle velocity determination based on tensor product of Legendre polynomials - luxury class

Gosławski

Sys

Mrowicki

et al. 2022

The Archives of Automotive Engineering – Archiwum Motoryzacji

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Presented paper discusses a new, nonlinear approach to EES (Equivalent Energy Speed) parameter determination in frontal car collisions. This method is based on tensor product of Legendre polynomials and in this case considers Luxury car class. Methods that are used up till now are based on a linear dependency between mass, velocity and deformation. This is of course a simplification that was necessary, due to limitation in computation power of computers when this method was introduced decades ago. The contemporary resources allowed Authors to develop a much more sophisticated method. The mathematical model was developed using data shared by National Highway Traffic Safety Administration (NHTSA). This database covers a large number of test cases along with various information including vehicle mass, crash velocity, chassis deformation etc. New method proves to be more accurate than the currently used approach utilizing linear dependency of deformation force and deformation of the vehicle.

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Computational Method of the Stiffness Coefficients A and B in the Case of Frontal Impact from the Results of the Crash Tests

Cited by 2 publications

References 9 publications

Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class

Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class

Nonlinear method of precrash vehicle velocity determination based on tensor product of Legendre polynomials - luxury class

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