2012
DOI: 10.5755/j01.mech.18.4.2325
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Design of Car Frontal Protection System Using Neural Network and Genetic Algorithm

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Cited by 25 publications
(7 citation statements)
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“…The specification of impact barrier was referred in IIHS bumper test protocol which is consisted of barrier, energy absorber and rigid back stop. In this work, the impact simulation was considered as desirable analysis technique because it can describe the real impact test exactly although it could be the time consuming technique compared to the other approach such as the response modeling technique[18][19][20]. The impact simulation has advantages that the analysis results can be directly compared with result of impact test and also the failure load, position and mode were can be predicted and analyzed with the composite failure criterion.…”
mentioning
confidence: 99%
“…The specification of impact barrier was referred in IIHS bumper test protocol which is consisted of barrier, energy absorber and rigid back stop. In this work, the impact simulation was considered as desirable analysis technique because it can describe the real impact test exactly although it could be the time consuming technique compared to the other approach such as the response modeling technique[18][19][20]. The impact simulation has advantages that the analysis results can be directly compared with result of impact test and also the failure load, position and mode were can be predicted and analyzed with the composite failure criterion.…”
mentioning
confidence: 99%
“…For slit-shaped apertures Maa [6] suggests that the rectangular cross section can be modelled as an equivalent ellipse. By introducing an ellipticity factor e = 1 − d w 2 (24) where d and w are the height and the length of the slit, i.e. the depth and the width of the micro-channels in case of MGEs, the reactive impedance is written as…”
Section: External Partmentioning
confidence: 99%
“…In [21], the adaptability of the combined fuzzy PID model that adopts a GA was briefly introduced. The GA approach has received increasing attention because of its advantages over conventional optimisation [22][23][24], which make it a powerful technique for self-tuning parameters of hybrid active suspension controllers. In the current study, the GA method is applied to tune the parameters of a combined controller for effective active suspensions during an actual driving cycle (Figure 6).…”
Section: Controller Parameter Self-tuning Based On a Gamentioning
confidence: 99%