Optimal multiobjective design of a vehicle restraint system using pre-acting control: A limiting performance analysis
PurposeThe purpose of this paper is to perform the limiting performance analysis of a vehicle restraint system (seat belt) in order to find the optimal control force, and its pre-acting time that minimizes the risk of injury.Design/methodology/approachA discrete model of the human thorax is used. A...
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Veröffentlicht in: | Multidiscipline modeling in materials and structures 2018-10, Vol.14 (4), p.756-768 |
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Sprache: | eng |
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Zusammenfassung: | PurposeThe purpose of this paper is to perform the limiting performance analysis of a vehicle restraint system (seat belt) in order to find the optimal control force, and its pre-acting time that minimizes the risk of injury.Design/methodology/approachA discrete model of the human thorax is used. A multiobjective optimum design problem is formulated in order to minimize the risk of injuries in case of impact. Several injury criteria are minimized and are required to remain below a safety threshold value.FindingsThe authors found which of the objectives are contradictory and which are not. Several of the optimal sets of design variables are analyzed and their performance compared to one another. The results are also compared to the case of not taking in account the pre-acting time. As expected, the results in this case are worse.Research limitations/implicationsAs with all limiting performance analysis, the technological implementation restraints of the control force are not taken into account. As such, the solutions must be considered a benchmark to which the actual solution can be compared to.Practical implicationsThe limiting performance analysis concept allows us to have a theoretical benchmark to which the real control performance can be compared to.Originality/valueAs far as the authors know, the pre-acting time, and its implications on the improvement of the performance of the control system, is an original contribution to the problem the authors tried to solve. |
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ISSN: | 1573-6105 1573-6113 |
DOI: | 10.1108/MMMS-09-2017-0100 |