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M. J. L. BOADA,B. L. BOADA,D. GARCIA-POZUELO,V. DIAZ 한국자동차공학회 2011 International journal of automotive technology Vol.12 No.6
The behaviour of the tyre plays an important role in the vehicle handling. An accurate tyre model that estimates these forces and moments it is highly essential for the studies of vehicle behaviour. For the last ten years neural networks have attracted a great deal of attention in vehicle dynamics and control. Neural networks have been effectively applied to model complex systems due to their good learning capability. In this paper a recursive lazy learning method based on neural networks is considered to model the tyre characteristics under combined braking and cornering. The proposed method is validated by comparison with experimental obtained responses. Results show the estimated model correlates very well with the data obtained experimentally. Moreover, the neural model proposed allows to include the asymetric tyre behaviour in the tyre model without difficulty.
A. GAUCHÍA,E. OLMEDA,M. J. L. BOADA,B. L. BOADA,V. DÍAZ 한국자동차공학회 2014 International journal of automotive technology Vol.15 No.3
Engineering bus design requires testing of bus structures prototypes in order to guarantee a certain level ofstrength and an appropriate static and dynamic behavior of the bus superstructure when exposed to road loads. However,experimental testing of real bus structures is very expensive as it requires expensive resources and space. If testing is done ona scale bus model the previous required expenses are considerably reduced. Therefore, a novel methodology based ondimensional analysis applied to bus structure prediction to evaluate the bus structure static and dynamic performance isproposed. The static performance is evaluated attending to torsion stiffness and the dynamic in terms of the natural vibrationfrequencies and rollover threshold. A scale bus has been manufactured and dimensionless parameters have been defined inorder to project the results obtained in the scale bus model to a larger model. Validation of the proposed methodology has beencarried out under experimental and finite element analysis.
NEW PROCEDURE TO ESTIMATE THE BRAKE WARPING IN A ROLLER TESTER
D. GARCÍA-POZUELO RAMOS,A. GAUCHÍA,B. L. BOADA,V. DÍAZ 한국자동차공학회 2010 International journal of automotive technology Vol.11 No.5
Vehicle systems such as the steering, brakes and suspension greatly influence vehicle safety. Therefore, these systems must be inspected to guarantee that they are functioning correctly and to certify that the vehicle is functioning at a satisfactory safety level. In disc brakes, warping is one of the principal reasons for vibrations and noise, and it contributes to diminished brake efficiency. Currently, the International Motor Vehicle Inspection Committee (CITA) demands disc brake warping inspections occur during periodic motor vehicle inspections (PMVIs); however, the procedure to carry out this inspection is not well defined. In this investigation, the warping phenomenon has been analyzed, and a new inspection procedure is proposed.
TORSIONAL STIFFNESS AND WEIGHT OPTIMIZATION OF A REAL BUS STRUCTURE
A. GAUCHIA,V. DIAZ,M. J. L. BOADA,B. L. BOADA 한국자동차공학회 2010 International journal of automotive technology Vol.11 No.1
In this paper, the structural optimization of a real bus structure is proposed. The proposed optimization has been accomplished by means of genetic algorithms. The structural behavior of the bus structure when subjected to weight and torsion was also analyzed using the finite element method (FEM). The results demonstrate that improved weight and torsional stiffness are achieved with the optimized structure.