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| Titel: |
Reconstruction of pedestrian-vehicle accident using sequential linear programming optimizer |
| Auteur: |
Shen, J. Jin, X-L |
| Verschenen in: |
International journal of crashworthiness |
| Paginering: | Jaargang 12 (2007) nr. 6 pagina's 653-661 |
| Jaar: |
2007 |
| Inhoud: |
The purpose of this paper is to present an optimization-based method for reconstructing pedestrian-vehicle accident and testing its performance. Using this method, the optimizer should automatically vary boundary conditions of multi-body dynamic simulation to generate the best match between simulation and real accident data. Considering the characteristic of pedestrian-vehicle collision, a corresponding optimization model is designed and sequential linear programming is used to deal with the non-linear objective function and the noisy constraints. By the reconstruction of two real-world pedestrian collisions, the performance of the method is tested. We compare the results with the global response surface of the objective function, which is constructed by a full-factorial experimental design. And the results are also evaluated in terms of injuries from the impact with the ground. The results show that this method is very effective in finding an optimum solution, which can not only reduce the number of cycles but also save manual operation. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 50 van 62 gevonden artikelen
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