An Update on the Momentum 360 Method of Vehicle Impact Reconstruction through 3D Modeling and Computer Simulation

Author:

Karapetkov Stanimir,Dimitrov Lubomir

Abstract

Although vehicles as a whole are symmetric, car crashes rarely follow the symmetric line (crashes are axisymmetric). In this paper, we examine car crashes by an updated Momentum 360 method, and car symmetry helps us easily find out what happens within the accident. We propose an improvement of the Momentum 360 method by taking into account the frictional forces between the wheels and the road surface during the time of impact. According to the momentum change theorem for the duration of the impact for each car and the kinetic moment change theorem for the relative motion of the given vehicle around its center of mass, the impact problem is introduced and solved. The solution considers the impulses of the principal vectors of the wheel friction forces, the gravity force, and the aerodynamic force for each car at the time of impact, as well as the principal moments of the friction forces between the tires and the road surface as a function of time. A mechano-mathematical multi-mass 3D model and a computer simulation of the movement (“Expertcar” software) are used to study the movement of each vehicle after the impact. Through successive approximations, the velocity vectors of the mass centers of the vehicle immediately before the impact are determined, and the location of the impact is identified. The presented decision model significantly improves the accuracy of road accident investigations.

Funder

Technical University of Sofia

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference18 articles.

1. Aycock, E. (2015). Accident Reconstruction Fundamentals: A Guide to Understanding Vehicle Collisions, Atlanta Engineering Services. [2nd ed.].

2. Karapetkov, S. (2012). Mechanical and Mathematical Modelling of Vehicle Motions in Identifying Road Accidents. [Ph.D. Thesis, Technical University Sofia].

3. Day, T.D., Roberts, S.G., and SIMON: A new Vehicle Simulation Model for Vehicle Design and Safety Research (2022, November 01). Society of Automotive Engineers (SAE), Paper 2001, 2001-01-0503. Available online: https://www.sae.org/publications/technical-papers/content/2001-01-0503/.

4. Neil, F.R., and Ruoyolo, G.L. (2018). Advanced Traffic Crash Analysis, IPTM. [2nd ed.].

5. Pawlus, W., Robbersmyr, K.G., and Karimi, H.R. (2011). Mathematical Modeling and Parameters Estimation of a Car Crash Using Data-Based Regressive Model Approac, The University of Agder, Faculty of Engineering and Science.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3