scholarly journals A Data-Based Approach for Modeling and Analysis of Vehicle Collision by LPV-ARMAX Models

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Qiugang Lu ◽  
Hamid Reza Karimi ◽  
Kjell Gunnar Robbersmyr

Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the establishment of a mathematical model of vehicle crash which can simplify the analysis process is significantly attractive. In this paper, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to have dependence on the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from the ones used for identification. Finally, the comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Witold Pawlus ◽  
Hamid Karimi ◽  
Kjell Robbersmyr

AbstractThis paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The basics of fuzzy set theory and modeling principles based on fuzzy logic approach are presented. In particular, exceptional attention is paid to explain the methodology of creation of a fuzzy model of a vehicle collision. Furthermore, the simulation results are presented and compared to the original vehicle’s kinematics. It is concluded which factors have influence on the accuracy of the fuzzy model’s output and how they can be adjusted to improve the model’s fidelity.


2016 ◽  
Vol 28 (1) ◽  
pp. 71-79
Author(s):  
Tomáš Coufal ◽  
Marek Semela

The paper presents complete results of the head-on small overlap crash test of vehicle with driver moving at a speed of approximately 12 m/s against stationary vehicle with post-crash rollover. When a crash does not involve the main crush-zone structures, the occupant compartment is not well protected. The emphasis in the paper was put on determination and presentation of crash parameters for the application in traffic accident analyses and for simulation with the help of software for accident reconstruction. The experimentally measured data from the crash test were analysed and important crash parameters which are necessary for accident reconstruction were obtained. The crash test was specific because of rollover of the impacting vehicle resulting from small overlap. The results have shown that small overlap accident is extremely dangerous for the crew with the possibility of vehicle rollover and occupant head and neck injury. Also in this case, at relative low speed, the driver suffered light neck and head injury in the following days and the longitudinal damage was relatively large. The input parameters for accident reconstruction software as the result of performed crash test were gained.


Author(s):  
E. Haug ◽  
P. Guyon

Abstract Dynamic simulation solver codes are now extensively used by industry for the design verification of vehicle crashworthiness and for the process simulation of sheet metal forming. The logical next step is to use these by now proven codes for the optimization of the vehicle crash design and of metal forming processes. A step towards this goal has been taken by PSI, and an optimization code, PAM-OPT™, has been written for calling dynamic FE codes of the PAM-SOLID™ family in design and process optimization loops. The code interacts with the user via input, signalling and output files and it calls an interface that interacts with the FE solvers. The paper briefly outlines the properties and various flow charts of the optimizer, depending on single or multiple solvers used in the loop, single or parallel calls and fast solvers. Then the paper reports various applications of PAM-OPT™ in conjunction with the PAM-SFE™, PAM-CRASH™, PAM-SAFE™ and PAM-STAMP™ solvers. An outlook on how to replace the user-written interface with a general keyword-driven interface concludes the paper.


Author(s):  
P. Bjorkholm ◽  
L. Landen ◽  
J. Stigwall ◽  
P. Johannisson ◽  
S. Sodermalm ◽  
...  
Keyword(s):  

2020 ◽  
Vol 12 (10) ◽  
pp. 4164 ◽  
Author(s):  
Elisabete Alberdi ◽  
Irantzu Alvarez ◽  
Heber Hernández ◽  
Aitor Oyarbide-Zubillaga ◽  
Aitor Goti

This work presents the results obtained from a spatial modeling and analysis process on pollutants measured in the air through forty-three monitoring stations located in the three provinces of the Basque Autonomous Community (Spain). The pollutants measured correspond to the set of nitrogen oxides (nitric oxide, NO; nitrogen dioxide, NO 2 ; and nitrogen oxides, NO x ) and atmospheric particulate matter with a diameter less than or equal to 10 micrometers (PM 10 ). The objective of this work was to generate a map of the pollutants that exhaustively covers the entire area of the Basque Autonomous Community using geostatistical techniques, in such a way that it serves as a basis for short and midterm environmental studies.


2012 ◽  
Vol 605-607 ◽  
pp. 697-702
Author(s):  
Yue Zhao ◽  
Jian Jiao

Common Mode Failure (CMF) analysis is an important method for evaluating the reliability, safety and risk of complex systems. As the increasing in the system complexity, the common-mode question has become an important factor for conditioning the reliability and security of the control system. Based the discussion on the concepts of CMF, this paper provided a CMF analysis method using Markov model, including the modeling and analysis process. A case study was also presented to verify the feasibility of the analysis method.


2012 ◽  
Vol 63 (9-12) ◽  
pp. 1073-1080 ◽  
Author(s):  
J. S. Johnsen ◽  
H. R. Karimi ◽  
K. G. Robbersmyr

Author(s):  
Alex A. Kaszynski ◽  
Joseph A. Beck ◽  
Jeffrey M. Brown

An automated reverse engineering process is developed that uses a structured light optical measurement system to collect dense point cloud geometry representations. The modeling process is automated through integration of software for point cloud processing, reverse engineering, solid model creation, grid generation, and structural solution. Process uncertainties are quantified on a calibration block and demonstrated on an academic transonic integrally bladed rotor. These uncertainties are propagated through physics-based models to assess impacts on predicted modal and mistuned forced response. Process details are discussed and recommendations made on reducing uncertainty. Reverse engineered parts averaged a deviation of 0.0002 in. (5 μm) which did not significantly impact low and midrange frequency responses. High frequency modes were found to be sensitive to these uncertainties demonstrating the need for future refinement of reverse engineering processes.


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