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Article

Selected Problems in a Two-Vehicle Impact Collision Modeling

by
Iwo Aleksandrowicz
1,
Jarosław Zalewski
2 and
Piotr Aleksandrowicz
3,*
1
Almot-Ekspert, Technical Department, Janusza Kusocińskiego 20, 86-032 Niemcz, Poland
2
Faculty of Administration and Social Sciences, Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw, Poland
3
Faculty of Mechanical Engineering, Bydgoszcz University of Science and Technology, Al. Prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(19), 9921; https://doi.org/10.3390/app12199921
Submission received: 21 August 2022 / Revised: 13 September 2022 / Accepted: 28 September 2022 / Published: 2 October 2022
(This article belongs to the Special Issue Autonomous Vehicles: Latest Advances and Prospects)

Abstract

:
In this paper, a potential use of the basic parameters of a road collision in a forensic activity was analyzed. A selected case of a frontal, eccentric, and oblique collision between two motor vehicles was analyzed from the point of view of both a computer simulation and a model. The case has been presented as an attempt to identify the collision parameters necessary to conduct the analytical calculations useful in analyzing specific road accidents. The simulation results were obtained in V-SIM software, which is widely used in collision reconstructions by forensic experts and appraisers. It was further analyzed from the point of view of a mathematical model, with the use of the force–impulse method and avoiding the use of the coefficients of restitution in the normal and tangential directions versus the adopted coordinate frame. In the analytical calculations, apart from the masses and the velocities of vehicles, the collision angles and the vicarial coefficient of adhesion between the colliding vehicles (µ) are also important. The approach presented in the article enables an expert to verify the obtained results of a computer program simulation.

1. Introduction

Over the years, a certain amount of work has been devoted to the selected aspects of vehicle collision modelling, which can occur in real traffic situations. The problem undertaken in this paper has been partially mentioned in some previous works, e.g., in [1,2], which mostly relates the obtained collision simulation results to the analytical calculations enabling the comparison of them. Almost all of these problems have been related to the frontal impact of a vehicle, however, the mathematical models used there have not been fully developed in order to include some additional factors, such as the coefficient of restitution in the tangential direction.
The aim of this paper is to discuss the selected parameters related to road vehicle collision modeling, which can be useful especially for a forensic expert using crash mechanics in order to verify the correctness of his opinion on a specific case of a road accident that has previously been simulated. In addition, an identification of the crucial parameters in a frontal impact collision has been prepared using an example of a frontal and oblique crash. Such identifications have previously been conducted, e.g., in [3], with the use of rigid barrier crash tests.
Of course, there is a class of specific software enabling both modeling and reconstruction of road accidents. For practitioners, however, the use of more complex software, e.g., based on the FEM numerical models of vehicles, is significantly limited. The most common applications are those having an extensive database of motor vehicle models, trucks, trailers, etc. Therefore, they can be used by forensic experts and appraisers for expertise in matters related to road accidents. This group includes the V-SIM software, which can also be used to verify the collision of vehicles and, for example, the typical maneuvers of vehicles.
One of the problems mostly paid attention to over the years has been the determination of the coefficient of restitution as an essential parameter when considering a vehicle crash. Several works have been devoted to, at least, specifying its magnitude, either for a frontal or a side impact collision (e.g., [4,5,6,7]). Some of them were based on tools, such as the spring–mass dampers, e.g., in [8].
Various research have been conducted in order to understand the collision process via modeling, beginning with the planar motion of the colliding vehicles and ending with the more complicated models containing the analysis of three-dimensional motion during a crash, e.g., [9]. Some specific problems related to collision modeling or reconstruction have also been the subject of multiple studies on high-speed collisions with small overlaps [10] and kinetic energy loss during a collision [11].
One of the major features of collision theory is the ability to perform computer simulations in order to verify, e.g., the correctness of either analytical calculations or forensic measurements. The use of some specific software has been presented in some work devoted to both providing the necessary information and the results related to some specific problems. For example, in [12], a V-SIM software was presented with all the necessary features, while in [13], a PC-Crash software was used to verify the real accident. In general, many works have been devoted to collision modelling in various aspects, such as low-speed collisions, impulse methods, reconstruction techniques, and more, e.g., [14,15,16,17]. Modeling the traffic of vehicles on different roads and load conditions as a separate issue has been discussed, e.g., in other papers [18,19,20].
It is most important for a forensic expert to be able to easily use the most essential collision parameters to easily describe a collision and calculate the initial or final velocities, which can be sort of a proof of the correctness of a prepared expert.
V-SIM is a software designed to simulate vehicle collisions with two reference frames. The global reference frame is determined by the program user and describes a momentary location of a vehicle and other environmental elements. The origin of a local frame is located at the center of the mass of the vehicle. V-SIM uses the TM-Easy tire model and the kinematic model of the independent wheel suspension, and the vehicle model also includes a steering frame that complies with the Ackerman rule. The suspension’s rigidity and the weight of the vehicle can be adjusted by the user.
In V-SIM, a crash force model is used for the collision of motor vehicles, in which the forces during a collision develop continuously throughout the contact time of the simulation. The model proposes the development of the forces during the compression phase and then their change in the phase of restitution.
Users of the simulation software are often not aware of the simplifications and limits applied to collision models in this software and accept the simulation results as certain. However, accepting the wrong results can cause negative consequences during a court dispute, in which the presented simulation may often be confirmed.
The main question in this part was: is it possible to include a collision model and an additional impulse of a force resulting from the locked front wheels during the collision?

2. Simulation of a Collision between Two Passenger Vehicles

The simulation of a collision of two passenger vehicles (no. 1 and 2 in Figure 1) has been prepared for the locked front wheels during the simulation.
While preparing the simulations, some general assumptions were made in accordance with, e.g., [21]:
-
Both vehicle models were considered linear and their mass-inertia parameters were adopted according to the V-SIM’s database.
-
The vehicles performed a planar motion during the impact, which took place on a dry road surface with a coefficient of adhesion μ = 0.8.
-
Before the impact, the vehicles were moving at 70 km/h (19.44 m/s, vehicle no. 1) and 90 km/h (25 m/s, vehicle no. 2).
-
The total mass of vehicle no. 1 was set at 1410 kg, while the total mass of vehicle no. 2 was at 1125 kg.
-
The coefficient of restitution was assumed by the program at R = 0.04.
-
The simulated collisions of the vehicles were frontal and oblique, so the occurrence of the impulses of the colliding forces in a tangential direction could not be omitted.
The impact plane is understood to be perpendicular to the road surface and, at the same time, tangential to both the surfaces of the colliding vehicles [21]. The simulation of a collision between two passenger vehicles was prepared as a case of a collision with the front wheels locked during the crash.
In Table 1, the selected results of the locked simulation are presented. This set contains both the translational and the angular velocities before and after the collision. Additionally, the masses and the moments of inertia of both vehicles are presented as the parameters necessary in the analysis in a mathematical sense. On this basis, the authors attempted to show that parameters from a mathematical point of view could be useful for a forensic expert to validate accident reconstructions.
Based on the obtained results (Table 1), it is necessary to mention that the post-collision velocities can be decomposed into two components in the case of a planar motion performed by the vehicles (along the normal and the tangential axes of the Ont local coordinate frame), where O is the geometric center of the collision.
Initially, the velocities obtained as a result of the simulation were presented along the axes of the global and inertial O’xy frame (Figure 2). The first and foremost step in switching to the analytical approach is to transfer them to the assumed natural coordinate frame Ont, which is attached to the geometric center of collision at the moment of initial contact. In order to do so, some geometric dependencies will be necessary, which will be presented in Section 3.
One more aspect of a computer simulation can be observed here. The visible effects of running the simulation of locked front wheels are presented in Figure 3a and are compared to unlocked wheels in Figure 3b.
Interestingly, though, the front wheels locking during the crash seemed to provide more realism to the discussed case (Figure 3a), as both vehicles seemed to rotate rather than to move forward. The discussed collision was frontal and oblique, so the occurrence of the impulses in a tangential direction had to be taken into account. The mutual plane of impact of the vehicles is perpendicular to the road surface and at the same time tangential to both of them. A mathematical model of such a collision will be adopted based on [21].

3. Identification of the Parameters Crucial for the Analytical Calculations

In order to properly proceed with the analytical calculations of the discussed collision, it seems appropriate to transform the global O’xy frame in which the velocities were determined by V-SIM to a local Ont frame, which seems more useful in mathematical modeling due to the fact that its origin O is at the point of an initial contact between the colliding vehicles. However, this may not be so obvious because of a variety of possibilities in which the axes of the Ont frame may be located, as the contact area between the vehicles is usually not a single point. Therefore, in the presented example, point O was adopted in the middle of the section to determine the initial contact between the vehicles (Figure 4). The axes Ot and On could also be located differently versus both of the colliding vehicles. Usually, the software used in simulations adopts the point of initial contact between the vehicles, and so it was in this case. Then, it was adopted such that the Ot axis is located as easily as possible, i.e., along the plane of one of the vehicles. Hence, the axis On must be perpendicular to Ot and the proposed configuration of the adopted Ont frame is shown in Figure 4. Although the adoption of both axes relates only to the considered example, the method for evaluating the results obtained in the simulation can be valid for other cases.
To properly describe the collision in the aspect of mathematical modeling is also necessary for making certain assumptions regarding the simplifications of the collision modeling which will not affect the considered phenomena. The quasi-stiff models of the vehicles have been assumed with the specified mass and stiffness, which did not change during the collision. The motion of the vehicles was considered on a flat road surface. However, in further research, the possibility of both uneven and sloping roads can be taken into account, which could lead to a resultant motion. In more complicated cases, a non-linear suspension may be included, but it seems that during the collision it does not have a significant influence on the analyzed phenomena. Additionally, the additional impulses due to the locked wheel have been omitted and will be included in further studies.
It seems convenient to present the adopted method graphically so that all the necessary trigonometric transformations can be easily applied. Therefore, in Figure 4, the mutual location of both vehicles is presented at the moment of initial contact, along with the necessary dimensions and the adopted Ont coordinate frame. At first, only the planar view is necessary, as the planar motion will be considered.
To determine the velocity components along the normal and the tangential directions versus the plane of collision, an angle between the speed vector and the longitudinal axis of each vehicle was selected from the collision protocol provided by V-SIM. This angle was then used to distribute the speed into a normal and a tangential velocity. Therefore, it seems necessary to relate the applied local Ont frame to the global O’xy with the specific angles which are marked in Figure 4 and are as follows:
-
α1—the angle between the speed of vehicle no. 1 and the normal axis (n) of the adopted Ont frame, which determines a division of the speed into two components (normal and tangential).
-
β—the angle between the speed of vehicle no. 1 and the x axis of the global O’xy frame, which determines its initial position versus the O’xy frame.
-
γ—the angle between the speed of vehicle no. 2 and the x axis of the global O’xy frame, which determines its initial position versus the O’xy frame.
Taking into consideration the given angles a simple formula to determine the α can be used:
α 1 = ( 180 ° γ ) + β
Both β and γ are known as they are the angles of the initial positions of vehicles no. 1 and 2 determined by V-SIM. Therefore, for the discussed example, assuming that the positive angles of the vehicles are measured clockwise, they are:
β = 10.6°,
γ = 172.4°.
and the α will then be:
α1 = (180° − 172.4°) + 10.6° = 18.2°.
This angle will be very important in further considerations.
Next, the necessary parameters have been attached to the initial locations of the vehicles. Taking into account the collision with the tangential impulses of the impact force in Figure 5, the physical model of the crash is presented for the case of the locked front wheels during the collision with the positive directions marked. The impulses of the collision forces for each vehicle (Sn1, St1, Sn2, and St2, respectively) are presented and are marked as scalars because they are the components of the resultant impulses acting on each vehicle.
Additionally, the necessary dimensions, the masses, and the moments of inertia of both vehicles are marked in Figure 5.
In Figure 6, the angle α1 used in the distribution of the speed into the tangential and the normal velocity is presented as well as the angular velocities, respectively, for vehicles no. 1 and 2. These components have been used to determine the kinematic state of both vehicles after the collision.
If a forensic expert was to verify the simulation results, a general model of collision could be used to conduct some simple analytical calculations, with the use of the following formulas:
-
in the direction normal to the impact plane (along the On line):
m 1 ( v 1 n v 1 n ) = S n 1 ,   m 2 ( v 2 n v 2 n ) = S n 2
-
in the direction tangential to the impact plane (along the Ot line):
m 1 ( v 1 t v 1 t ) = S t 1 ,   m 2 ( v 2 t v 2 t ) = S t 2
-
in the direction of rotation on a plane of the road, in accordance with the selected angular velocities:
I 1 ( ω 1 ω 1 ) = S n 1 t 1 + S t 1 n 1 ,   I 2 ( ω 2 ω 2 ) = S n 2 t 2 + S t 2 n 2
As a result, the kinematic state of motion at the end of the collision is determined:
v 1 n = v 1 n S n 1 m 1 ,   v 2 n = v 2 n S n 2 m 2
  v 1 t = v 1 t S t 1 m 1 ,   v 2 t = v 2 t S t 2 m 2
ω 1 = ω 1 + S n 1 t 1 I 1 + S t 1 n 1 I 1 ,   ω 2 = ω 2 + S n 2 t 2 I 2 S t 2 n 2 I 2
where:
-
Sn1, St1, Sn2, and St2—components of the force impulses of vehicles no. 1 and 2, respectively.
-
v1n and v2n—the normal velocity of vehicles no. 1 and 2, respectively, before the collision.
-
v1t and v2t—the tangential velocity of vehicles no. 1 and 2, respectively, before the collision.
-
ω1 and ω2—the angular velocity of vehicles no. 1 and 2, respectively, before the collision.
-
n1, t1, n2, and t2—coordinates of the center of mass of each vehicle in relation to the geometric center of the collision (point O).
α1 is the angle between the speed of vehicle no. 1 and the On axis (Figure 6). The markings adopted in this chapter refer to the symbols used in the equations of the analyzed collision. The index ‘1’ refers to the parameters of vehicle no. 1 (Figure 5 and Figure 6) and ‘2’ specifies the parameters of vehicle no. 2 (Figure 5 and Figure 6 as well). The indexes ‘n’ and ‘t’ denote the normal and the tangential directions, respectively.
Distances n 1 , n 2 , t 1 ,   and   t 2 between the centers of mass of the vehicles and the geometric center of the collision (O) were measured in V-SIM for the initial positions of both vehicles at the beginning of the mutual contact, i.e., the initial moment of collision (Figure 6).
The determination of the velocity components along the normal and the tangential directions versus the plane of collision (a vertical plane of mutual contact between the vehicles) required the α1 angle. Although these components are marked with an arrow not matching the scale of the vectors, the main aim of presenting them was to highlight their importance as the parameters used in the mathematical model of the analyzed collision.
If the measured α angle is taken into account, then the components of the velocity of vehicle no. 1 (Figure 6) will be: v1n = v1cosα, v1t = v1sinα.
There is a simplification in the given case as the velocity of vehicle no. 2 will contain only the normal component, so v2t is zero and the longitudinal component v2n = v2.
The obtained set of six Equations (5)–(7) contains six unknowns, i.e., the post-collision velocities ( v 1 n ,   v 1 t ,   v 2 n ,   v 2 t ,   ω 1 ,   and   ω 2 ) and four components of the impulse of a collision force ( S n 1 ,   S t 1 ,   S n 2 ,   and   S t 2 ) , as shown in Figure 6. However, the velocities and the angular velocities require knowing the impulses of the collision force for each vehicle.
In a simplified way, we can assume that the impulses S1 and S2 are equal because the colliding vehicles are regarded as one body during the collision. Of course, in a more complex analysis, both impulses could be determined as integrals of the colliding forces of both vehicles, primarily depending on their masses and velocities. However, for a practical analysis, a simplification regarding the equality of these impulses is as follows:
S 1 = S 2 = S
can be a hypothesis resulting from the crash mechanics theory (e.g., [21]).
The main problem is dividing these impulses into the normal and the tangential components. Of course, a formula can be used:
S = S 1 = S n 1 2 + S t 1 2 ,   S = S 2 = S n 2 2 + S t 2 2
thanks to which, two additional equations can be obtained for the components of the impulses.
A hypothesis related to the friction can also be used. Let us assume that the collision between the vehicles causes friction between their surfaces. Hence, adopting a vicarial coefficient of adhesion between the colliding vehicles (µ), one could apply such equations:
S n 1 = μ S t 1 ,   S n 2 = μ S t 2
could supply Equation (9). In that way, a simplified collision model is correct enough to be used by a forensic without any complicated mechanics being used as a tool for verification of the obtained simulation results.

4. Conclusions

From the calculations, it can be observed that after the adoption of the collision model for vehicles regarded as bodies with rough surfaces, the coefficients of restitution do not have to be used in a simplified mathematical analysis of a collision. In practice, such a collision model could be considered as a tool for the preliminary impact assessment and testimony, as a verification of the pre-collision speed in the process of accident reconstruction. This is obviously a very simplified, yet non-troublesome, model.
Some general remarks can be made here. Firstly, the impact force impulse is known and presented in the collision protocol. Secondly, given that certain assumptions are made, this impulse can be divided into two components in planar motion and be used by a forensic expert for a simple verification of the results obtained in simulations of a collision in a designated software.
In the presented case, the collision angles seem to play the most important role as well as in the generalized coefficient of adhesion between the surfaces of the colliding vehicles (µ), which can be adopted as a mix of steel, plastic, and glass, considering the materials used in the production of the front parts of the vehicles in general. Therefore, within the main parameters necessary to properly handle the frontal oblique, collision through analytical calculations can be included in the masses, the velocities, the general impulses of the impact forces, as well as the angles discussed above and the vicarial coefficient of adhesion between the colliding vehicles (µ).

Author Contributions

Writing—original draft, I.A., J.Z. and P.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Aleksandrowicz, P. Analysis of vehicle collisions with the SDC method. In Proceedings of the 23rd International Conference Engineering Mechanics, Brno University of Technology, Svratka, Czech Republic, 6–8 September 2017; pp. 78–81. [Google Scholar]
  2. Zalewski, J. Analysis of a road accident in the aspect of mechanics of a frontal crash between two vehicles. Diagnostyka 2015, 16, 25–30. [Google Scholar]
  3. Aleksandrowicz, P. Modeling Head-On Collisions: The Problem of Identifying Collision Parameters. Appl. Sci. 2020, 10, 6212. [Google Scholar] [CrossRef]
  4. Ahmad, M.; Ismail, K.; Mat, F. Impact models and coefficient of restitution: A review. ARPN J. Eng. Appl. Sci. 2016, 11, 6549–6555. [Google Scholar]
  5. Savova-Mratsenkova, M.; Djonev, G. Determining the values of the Coefficient of Restitution in the meanwhile of a crash between two vehicles. IOP Conf. Ser. Mater. Sci. 2019, 618, 012058. [Google Scholar] [CrossRef]
  6. Yuta, Y.; Yuqing, Z.; Koji, M. Analysis of normal and tangential restitution coefficients in car collisions based on finite element method. Int. J. Crashworthiness 2021, 27, 1222–1231. [Google Scholar] [CrossRef]
  7. Zaikin, O.; Korablin, A.; Dyulger, N.; Barnenkov, N. Model of the Relationship between the Velocity Restitution Coefficient and the Initial Car Velocity during Collision. Transp. Res. Procedia 2017, 20, 717–723. [Google Scholar] [CrossRef]
  8. Mnyazikwiye, B.; Karimi, H.; Robbersmyr, K. Mathematical Modeling of Vehicle Frontal Crash by a Double Spring-Mass-Damper Model. In Proceedings of the 24th International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia and Herzegovina, 30 October–1 November 2013; pp. 1–6. [Google Scholar] [CrossRef]
  9. Kisilowski, J.; Zalewski, J. Analysis of the Selected Aspects of a Crash between Two Vehicles. In Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013), Atlantis Press, Los Angeles, CA, USA, 1–2 July 2013. [Google Scholar] [CrossRef] [Green Version]
  10. Brach, R.; Brach, R.; Pongetti, K. Analysis of High-Speed Sideswipe Collisions Using Data from Small Overlap Tests. SAE Int. J. Trans. Safety 2014, 2, 86–89. [Google Scholar] [CrossRef] [Green Version]
  11. Brach, R.; Brach, R.; Louderback, K. Uncertainty of CRASH3 ΔV and Energy Loss for Frontal Collisions. In Proceedings of the SAE 2012 World Congress & Exhibition, Detroit, MI, USA, 24–26 April 2012. SAE Technical Paper. [Google Scholar] [CrossRef]
  12. Bułka, D. V-SIM Operating Manual; CIBID: Cracow, Poland, 2020; pp. 149–153. [Google Scholar]
  13. Zioła, A. Verification of road accident simulation created with the use of PC-Crash software. SJSUT.ST. 2018. [Google Scholar] [CrossRef]
  14. Neades, J. Equivalence of impact phase models in two vehicle planar collisions. Proc. Inst. Mech. Eng. Part J. Aut. Eng. 2013, 299, 1325–1336. [Google Scholar] [CrossRef]
  15. Pawlus, W.; Karimi, H.; Robbersmyr, K. Investigation of vehicle crash modeling techniques: Theory and application. Int. J. Adv. Manuf. Technol. Springer 2014, 70, 965–993. [Google Scholar] [CrossRef] [Green Version]
  16. Smit, S.; Tomasch, E.; Kolak, H.; Plank, M.; Gugler, J.; Glaser, H. Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS. Eur. Transp. Res. Rev. 2019, 11, 1–9. [Google Scholar] [CrossRef] [Green Version]
  17. Vangi, D. Vehicle Collision Dynamics. Analysis and Reconstruction. Butterworth Heinemann. 2020, 299, 157–191. [Google Scholar] [CrossRef]
  18. Kučera, P.; Pištěk, V. Prototyping a system for truck differential lock control. Sensors 2019, 19, 3619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Kučera, P.; Pištěk, V. Testing of the mechatronic robotic system of the differential lock control on a truck. Int. J. Adv. Robot. Syst. 2017, 14, 1–7. [Google Scholar] [CrossRef] [Green Version]
  20. Fomin, O.; Lovska, A.; Pištěk, V.; Kučera, P. Research of stability of containers in the combined trains during transportation by railroad ferry. MM Sci. J. 2020, 1, 3728–3733. [Google Scholar] [CrossRef]
  21. Zalewski, J. Selected problems of motor vehicle maintenance after side impact collision. MATEC Web. Conf. 2018, 182, 01019. [Google Scholar] [CrossRef]
Figure 1. The mutual location of both vehicles at the beginning of the collision.
Figure 1. The mutual location of both vehicles at the beginning of the collision.
Applsci 12 09921 g001
Figure 2. The collision of two passenger vehicles with the front wheels locked.
Figure 2. The collision of two passenger vehicles with the front wheels locked.
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Figure 3. Post–collision locations of both passenger vehicles with (a) and without (b) the front wheels locked.
Figure 3. Post–collision locations of both passenger vehicles with (a) and without (b) the front wheels locked.
Applsci 12 09921 g003
Figure 4. The necessary angles in transforming the O’xy into the Ont frame along with the numbers of the vehicles involved.
Figure 4. The necessary angles in transforming the O’xy into the Ont frame along with the numbers of the vehicles involved.
Applsci 12 09921 g004
Figure 5. The mutual location of both vehicles at the beginning of the collision with the positive directions marked.
Figure 5. The mutual location of both vehicles at the beginning of the collision with the positive directions marked.
Applsci 12 09921 g005
Figure 6. The mutual location of both vehicles at the beginning of the collision with the angles and the components of the velocities marked.
Figure 6. The mutual location of both vehicles at the beginning of the collision with the angles and the components of the velocities marked.
Applsci 12 09921 g006
Table 1. Results of a frontal oblique collision simulations of a collision between two passenger vehicles with locked front wheels.
Table 1. Results of a frontal oblique collision simulations of a collision between two passenger vehicles with locked front wheels.
Vehicle22
mass1410 kg1125 kg
moment of inertia relative to the longitudinal axis Ox passing through the center of mass of a vehicle529 kg∙m2410 kg∙m2
moment of inertia relative to the lateral axis Oy passing through the center of mass of a vehicle2343 kg∙m21654 kg∙m2
moment of inertia relative to the vertical axis Oz passing through the center of mass of a vehicle2466 kg∙m21576 kg∙m2
coefficient of restitution0.040.04
before the collision
forward velocity Vx19.43 m/s24.99 m/s
lateral velocity Vy0 m/s0 m/s
vertical velocity Vz0.02 m/s0.01 m/s
angular velocity around the longitudinal Ox axis00
angular velocity around the lateral Oy axis00
angular velocity around the vertical Oz axis00
impulse of the impact force27,400 Ns27,400 Ns
after the collision
forward velocity Vx0.87 m/s0.68 m/s
lateral velocity Vy−5.72 m/s0.45 m/s
vertical velocity Vz−0.17 m/s0.19 m/s
angular velocity around the longitudinal Ox axis−1.44 rad/s0.22 rad/s
angular velocity around the lateral Oy axis1.04 rad/s1.39 rad/s
angular velocity around the vertical Oz axis0.63 rad/s4.03 rad/s
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Aleksandrowicz, I.; Zalewski, J.; Aleksandrowicz, P. Selected Problems in a Two-Vehicle Impact Collision Modeling. Appl. Sci. 2022, 12, 9921. https://doi.org/10.3390/app12199921

AMA Style

Aleksandrowicz I, Zalewski J, Aleksandrowicz P. Selected Problems in a Two-Vehicle Impact Collision Modeling. Applied Sciences. 2022; 12(19):9921. https://doi.org/10.3390/app12199921

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Aleksandrowicz, Iwo, Jarosław Zalewski, and Piotr Aleksandrowicz. 2022. "Selected Problems in a Two-Vehicle Impact Collision Modeling" Applied Sciences 12, no. 19: 9921. https://doi.org/10.3390/app12199921

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