Uncertainty Study of Road Accident Reconstruction - Computational Methods

Lozia, Zbigniew; Guzek, Marek

doi:10.4271/2005-01-1195

Cited by 16 publications

(5 citation statements)

References 3 publications

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“…MADYMO pedestrian model has been used for reconstruction purposes as well [23,152,173,190,199]. In line with current best-practise recommendations [33], analysis of the uncertainty of accident reconstruction [85] has also been applied to simulations of pedestrian impact with MB models [213]. FE models are used much more rarely for accident reconstruction.…”

Section: Road Accident Reconstructionmentioning

confidence: 99%

Numerical Approaches to Pedestrian Impact Simulation with Human Body Models: A Review

Wdowicz

Ptak

2023

Arch Computat Methods Eng

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The review paper discusses numerical human body models of pedestrians. The background of current trends in physical and mathematical pedestrian research is presented. Development, validation and areas of application of pedestrian body models are described. The differences between multibody models and finite element models are presented. Accident-based and experimental approaches to validation of the models are discussed. As a novelty, this paper presents an overview of multibody models used in forensic investigations, discusses their usefulness, and differences between their design and the design of more advanced multibody and finite element models. Finally, the most recent trends in human body modelling are discussed, including open-source approaches to model distribution and replacement of physical tests by digital simulations.

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Section: Road Accident Reconstructionmentioning

confidence: 99%

Numerical Approaches to Pedestrian Impact Simulation with Human Body Models: A Review

Wdowicz

Ptak

2023

Arch Computat Methods Eng

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“…The first approach requires vehicles equipped with data loggers such as Global Positioning System, tachographs and EDR (event data recorder) devices able to record the positions of the vehicle during the accident. These information can be used for the reconstruction; however, some uncertainties can arise from the measurement of the position and from the data analysis [4,24]. When such information are not available, only the second approach can be applied.…”

Section: Introductionmentioning

confidence: 99%

“…Two different approaches are currently employed for the estimation of such variables, one referring to the analysis of the data logged on the vehicles and the second by using a mathematical model able to simulate the motion of the vehicle before and after the crash [24]. The first approach requires vehicles equipped with data loggers such as Global Positioning System, tachographs and EDR (event data recorder) devices able to record the positions of the vehicle during the accident.…”

Section: Introductionmentioning

confidence: 99%

The effect of mass properties on road accident reconstruction

Gobbi

Mastinu

Previati

2013

International Journal of Crashworthiness

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The paper investigates the influence of vehicle mass properties (mass, centre of gravity location, inertia tensor) on accident reconstruction. Considering the case of two colliding vehicles, the paper aims at defining which is the uncertainty of each mass property that should be prescribed to obtain an accurate accident reconstruction. The paper is divided into two parts. The first part presents a mathematical model, and its validation, able to perform a proper computation of the motion of vehicles before and after crash with the data that are usually collected by operators after the accident. In the second part, a theoretical analysis shows that an accurate accident reconstruction does need accurate measurements of both the centre of gravity location and the moment of inertia of crashed automobiles. Even a small error of 10% on the estimated value of the moment of inertia of one car or of an error of 100 mm in the location of its centre of gravity can lead to errors of close to 20% on the reconstructed velocities of the two cars before the accident. An existing test rig for measuring the centre of gravity location and the inertia tensor of crashed vehicles (pre-and post-impact), meeting the measurement accuracy determined on the basis of the sensitivity analysis, is presented.

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“…These methods can be divided into deterministic methods and probabilistic methods. Deterministic methods include Total Differential Method (TDM) (Liu, 1999;Williams et al, 2012), Upper and Lower bound Method (ULM) (Lozia and Guzek, 2005;Brach and Brach, 2005), Finite Difference Method (FDM) (Bartlett and Fonda, 2003) and Response Surface Methodology (RSM) (Zou et al, 2012a;Du et al, 2009); probabilistic methods include Gauss Method (Brach and Brach, 2005), Methods with the Use of Stochastic Processes (Lozia and Guzek, 2005), Probabilistic Perturbation Method (Zhang and Li, 2007) and Monte Carlo Method (MCM) (Brach and Dunn, 2004;Kurzhanskiy and Varaiya 2012). The application of these methods in practice can be found in Bartlett (2003), Wood and O'riordain (1994), Bartlett et al (2002), Li et al (2004), Fonda (2004), Zou et al (2012b) and Wach (2007Wach ( , 2013.…”

Section: Introductionmentioning

confidence: 99%