An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation
Abstract
:1. Introduction
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- The law of conservation of momentum of the two cars for the time of impact only holds true if there are no external forces acting on the mechanical system. In this case, the action of the frictional forces between the wheels and the road surface during the impact is neglected, but sometimes it is significant.
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- The direction of the pre-impact velocities is assumed to be known. This, in practice, introduces a major physical error, especially in a frontal or rear impact (Figure 1). For these cases, with a relatively small angle between the longitudinal axes of the cars, the denominator in Equation (2) is close to zero, and any small change in the angles of the pre-impact velocity vectors α1 and α2 leads to a significant change in the solution. This makes the Momentum 360 method, in reality, inapplicable in these cases.
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- The calculation of velocities after the impact by Equation (3) is approximate, and the results depend mostly on the choice of the average drag coefficients μi. The coefficients depend in a complex way on the dynamics of the cars’ motion after the impact, especially on the normal individual reactions in the wheels, the rotation of each wheel, and the variable nature of the frictional forces in direction and magnitude.
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- The trajectory of the mass center of each car after impact is unknown and is generally assumed to be a straight line.
2. Materials and Methods
2.1. Task of the Impact in a Road Accident
2.2. Mechano-Mathematical Modeling and Computer Simulation of the Movement of the Cars after the Impact
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- —initial generalized coordinates—coordinates of the mass centers of the vehicle by the time of the impact in the deformation phase (when the maximum impact impulse is formed) and the angle of rotation of the unstressed mass;
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- —initial generalized velocities—projections of the velocity of the centers of mass and angular velocity after the impact.
3. Results Case Study
- The trajectories of the centers of the wheels of the Mercedes car exactly correspond to the configuration and location of the tire marks and tread marks on the roadway visible from the photo materials (Figure 12);
- The direction of the vector velocities of the centers of mass of the cars immediately before the impact, obtained by mechano-mathematical modeling, dynamic analysis, and computer simulation, completely and with great accuracy corresponding to the position of the two cars at the time of the impact;
- The resulting vector of the impact impulse and its directrix fully correspond to the deformations of the cars and their rotation after the impact;
- The absolute values of the velocity change for each car correspond well with the energy of their deformations, determined by the “Delta-V” method.
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Aycock, E. Accident Reconstruction Fundamentals: A Guide to Understanding Vehicle Collisions, 2nd ed.; Atlanta Engineering Services: Alpharetta, GA, USA, 2015. [Google Scholar]
- Karapetkov, S. Mechanical and Mathematical Modelling of Vehicle Motions in Identifying Road Accidents. Ph.D. Thesis, Technical University Sofia, Sofia, Bulgaria, 2012. [Google Scholar]
- Day, T.D.; Roberts, S.G.; SIMON: A new Vehicle Simulation Model for Vehicle Design and Safety Research. Society of Automotive Engineers (SAE), Paper 2001, 2001-01-0503. Available online: https://www.sae.org/publications/technical-papers/content/2001-01-0503/ (accessed on 1 November 2022).
- Neil, F.R.; Ruoyolo, G.L. Advanced Traffic Crash Analysis, 2nd ed.; IPTM: Jacksonville, FL, USA, 2018. [Google Scholar]
- Pawlus, W.; Robbersmyr, K.G.; Karimi, H.R. Mathematical Modeling and Parameters Estimation of a Car Crash Using Data-Based Regressive Model Approac; The University of Agder, Faculty of Engineering and Science: Grimstad, Norway, 2011. [Google Scholar]
- Baker, J.S.; Fricke, L.B. The Traffic Accident Investigation Manual; The National Agency of Sciences: Washington, DC, USA, 1986; p. 420. [Google Scholar]
- Russel, C. Momentum: Vectoring in an New Approach. Collision 2009, 4, 30–37. [Google Scholar]
- Hibbeler, R. Engineering Mechanics: Dynamics, 14th ed.; Pearson: London, UK, 2015. [Google Scholar]
- CarSim Math Models, version 5. Draft. MSC/Mechanical Simulation Corporation: Ann Arbor, MI, USA, 2001.
- Han, I. Impulse-momentum based analysis of vehicle collision accidents using Monte Carlo simulation methods. Int. J. Automot. Technol. 2015, 16, 253–270. [Google Scholar] [CrossRef]
- Anadu, D.; Mushagalusa, C.; Alsbou, N.; Abuabed, A.S. Internet of Things: Vehicle collision detection and avoidance in a VANET environment. In Proceedings of the IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, USA, 14–17 May 2018; pp. 1–6. [Google Scholar] [CrossRef]
- Wach, W. Spatial Impulse-Momentum Collision Model in Programs for Simulation of Vehicle Accidents. In Proceedings of the 2020 XII International Science-Technical Conference AUTOMOTIVE SAFETY, Kielce, Poland, 21–23 October 2020; pp. 1–9. [Google Scholar] [CrossRef]
- Smit, S.; Tomasch, E.; Kolk, H.; Plank, M.A.; 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, 2. [Google Scholar] [CrossRef] [Green Version]
- Karapetkov, S.; Kalitchin, Z.; Uzunov, H. Determination of Vehicles’ Velocities in Car Crash Using Different Friction Coefficients. In Proceedings of the 4th International Conference on Tribology, Kayseri, Turkey, 12–14 June 2002; Volume II, pp. 455–463. [Google Scholar]
- Karapetkov, S.; Dimitrov, L.; Uzunov, H.; Dechkova, S. Identifying vehicle and collision impact by applying the principle of conservation of mechanical energy. Transp. Telecommun. 2019, 20, 191–204. [Google Scholar] [CrossRef]
- Karapetkov, S.; Dimitrov, L.; Uzunov, H.; Dechkova, S. Mechanical Mathematical Modelling of Two-Vehicle Collisions. In Machine and Industrial Design in Mechanical Engineering, Proceedings of the 11th International Conference on Machine and Industrial Design in Mechanical Engineering (KOD 2021), Novi Sad, Serbia, 10–12 June 2021; Mechanisms and Machine Science; Rackov, M., Mitrović, R., Čavić, M., Eds.; Springer: Cham, Switzerland, 2021; Chapter 41; Volume 109, pp. 439–448. [Google Scholar]
- Niehoff, P.; Gabler, C. The Accuracy of WinSMASH Delta-V Estimates: The Influence of Vehicle Type, Stiffness, and Impact Mode. In Proceedings of the 50th Annual Proceedings of the Association for the Advancement of Automotive Medicine, Chicago, IL, USA, 16–18 October 2006; Volume 50, pp. 73–89. [Google Scholar]
- Shelby, S.G. Delta-V as a measure of traffic conflict severity. In Proceedings of the 3rd International Conference on Road Safety and Simulation, Indianapolis, IN, USA, 14–16 September 2011; Available online: https://onlinepubs.trb.org/onlinepubs/conferences/2011/RSS/1/Shelby,S.pdf (accessed on 7 September 2022).
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Karapetkov, S.; Dimitrov, L. An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation. Symmetry 2022, 14, 2628. https://doi.org/10.3390/sym14122628
Karapetkov S, Dimitrov L. An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation. Symmetry. 2022; 14(12):2628. https://doi.org/10.3390/sym14122628
Chicago/Turabian StyleKarapetkov, Stanimir, and Lubomir Dimitrov. 2022. "An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation" Symmetry 14, no. 12: 2628. https://doi.org/10.3390/sym14122628
APA StyleKarapetkov, S., & Dimitrov, L. (2022). An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation. Symmetry, 14(12), 2628. https://doi.org/10.3390/sym14122628