Vehicle profile optimization using central composite design for pedestrian injury mitigation
Pedestrian injury poses a significant problem throughout the world. Pedestrians contribute to the second largest category of motor vehicle deaths accounting for about 13% of fatalities, after occupant injuries. Therefore is vital to design pedestrian friendly vehicles to mitigate injuries and fata...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Natural Publishing
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/1/K_AMIS.pdf http://irep.iium.edu.my/40912/4/40912_Vehicle%20profile%20optimization%20using%20central%20composite_Scopus.pdf |
| Summary: | Pedestrian injury poses a significant problem throughout the world. Pedestrians contribute to the second largest category
of motor vehicle deaths accounting for about 13% of fatalities, after occupant injuries. Therefore is vital to design pedestrian friendly
vehicles to mitigate injuries and fatalities. A statistical methodology employing the Design of Experiments (DoE) is adopted in this
work to obtain the optimum design parameters for the vehicle front end geometry. The work studies the feasibility of the use of Central
Composite Designs (CCD) between a Circumscribed design (CCC) and a Faced design (CCF). A total of 100 simulation runs are
performed and the response is tabulated. Multi linear regression analysis is performed following which, quadratic programming is used
to carry out the optimization task using the Response Surface models obtained. It is concluded that the CCC offers a better prediction
for the optimum values in comparison to the CCF design. The SSR value for the CCC design offers a better fit for the model yielding
the value of 2.68 which is lesser than CCF’s value of 2.87. In addition, the practical error margin between the predicted CCC designs
and observed experimental values are 43.68 for CCC and 187.66 for CCF respectively, thus affirming the conclusion made. |
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