Prediction of NCAP Star Rating Probability Distribution of a Passenger Vehicle

2004 ◽  
Author(s):  
Bing Deng ◽  
Mark A. Beltramo ◽  
J. T. Wang

This paper presents a statistical method to predict NCAP (New Car Assessment Program) star ratings at early stages of the vehicle development process when only limited vehicle information, such as weight and a few basic dimensions, is available. The heart of this method is a probabilistic model, in which the probability distribution of NCAP star ratings, conditional on vehicle characteristics, is estimated using residual analysis. Seventy-nine NCAP tests from model year 1999 to model year 2002 were collected from NHTSA public database and used for the analysis. Given a vehicle’s weight and basic dimensions, the estimated probabilities reflect variations among similar existing vehicles due to detailed vehicle structure design, interior geometry layout, restraint system design, and the inherent variability of hardware and crash testing. The statistical method developed in this study provides a fast, probabilistic assessment of a concept vehicle’s potential NCAP performance.

Author(s):  
Kumar Srinivasan ◽  
Z. J. Wang ◽  
Wei Yuan ◽  
Richard Sun

CFD simulation of vehicle under-hood and under-body poses several challenges. Specifically, the complexity of the geometry involved makes the use of traditional mesh generation approaches, based on the boundary-to-interior methodology, impractical and time consuming. The current work presents the use of an interior-to-boundary method wherein the need for creating a ‘water-tight’ surface mesh is not a pre-requisite for volume mesh generation. The application of the new method is demonstrated for an actual passenger vehicle under-hood model with nearly a hundred components. Coupled radiation/convection simulations are performed to obtain the complete airflow and thermal map of the engine compartment. Results are validated with test data. The new method results in significant gains in efficiency over traditional approaches allowing the simulation tool to be used effectively in the vehicle development process.


2013 ◽  
Vol 416-417 ◽  
pp. 1826-1833 ◽  
Author(s):  
Pan Qi Chu ◽  
Kun Che ◽  
Bin Tao Zhang ◽  
An Ran Wei

This paper would present a new method which is based on knowledge engineering of CATIA V5R19 to design the braking disc. With this method, the work in modeling 3-D model is cut down, it is good for researchers to gain more opportunities to design a kind of braking system which is more safereliable and economy.


2012 ◽  
Vol 203 ◽  
pp. 340-344
Author(s):  
Ke Zhang ◽  
Yi Bo Zheng ◽  
Hang Yang Yu

This paper gives an overview of selected statistical methods and models commonly used in reliability engineering. The purpose of this paper is to discuss several concepts commonly applied in the analysis of equipment performance and, in particular, in predicting the remaining life of power equipment. Parametric methods are well suited for the prediction of the end of life of electric power equipment. However, care must be taken in selecting appropriate model since vastly different results can be obtained with different models fitted into the same data. Nonparametric methods are useful only when no suitable probability distribution can be fitted into the data set.


2014 ◽  
Vol 511-512 ◽  
pp. 606-610
Author(s):  
Xie Li

Finite element static analysis is a method for optimizing the design. It results from the combination of mathematical optimization method and modern computer technology. It enables a certain design to get better parameters under a variety of restrictions, thus making an optimal value of design index. In the traditional design process, Based on the initial design, the designers, with their own experience or accumulated experience by others and expertise, could ultimately get a more satisfactory one through repeated experiments, comparison and improvement. Experiencing long design cycle and consuming many human and financial resources, this approach may have found a better solution, but it is generally not able to find the optimal design. Fortunately, the finite element static analysis method provides the approach to an efficiently optimal design.


2012 ◽  
Vol 588-589 ◽  
pp. 170-172
Author(s):  
Ji Xin Liu ◽  
Feng Ju Hu ◽  
Ji Dai Wang ◽  
Yuan Yuan Xu

In the process of the coal technology development, anchor installation speed is one of the main factors that affect the rapid excavation. The anchor cable automatic mounting vehicle, which is developed on the basis of this, is a set of borehole, anchor installation, fastening, tensioning and other operations. It effectively improve the efficiency of anchor cable supporting. This paper mainly introduces the working principle, the main structure design and functional characteristics.


Author(s):  
Lei Gu ◽  
T. Tyan ◽  
G. Li ◽  
R. J. Yang

In vehicle safety engineering, it is important to determine the severity of occupant injury during a crash. Computer simulations are widely used to study how occupants move in a crash, what they collide during the crash and thus how they are injured. The vehicle motion is typically defined for the occupant simulation by specifying a crash pulse. Many computer models used to analyze occupant kinematics do not calculate both vehicle motion and occupant motion at the same time. This paper presents a framework of response surface methodology for the crash pulse prediction and vehicle structure design optimization. The process is composed of running simulation at DOE sampling data points, generating surrogate models (response surface models), performing sensitivity analysis and structure design optimization for time history data (e.g., crash pulse). Within this framework, the engineer can perform DOE sampling, surrogate modeling, main effect plot within any time interval, and design optimization. Some recent applications are presented to demonstrate how these approaches are employed for a vehicle structure design.


2004 ◽  
Vol 18 (17n19) ◽  
pp. 2569-2574
Author(s):  
HUIPING CHEN ◽  
XIA SUN ◽  
HUIXUAN CHEN ◽  
ZIQIN WU ◽  
BINGHONG WANG

Some parameters are introduced to evaluate the completeness of a partial multifractal spectrum with the shape of a bell or a hook, calculated using a statistical method due to a finite range of moment q. From the results of two kinds of Cantor sets, p/0/1-p and p/1-2p/p, and some examples of random fractals, it shows that the more homogeneous the probability distribution of the quantity studied is, the larger the range of q in the partial multifractal spectrum with the same evaluation parameters.


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