caa a22 4500 463244206 CHVBK 20180405153321.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s00158-006-0050-x doi (NATIONALLICENCE)springer-10.1007/s00158-006-0050-x Sinha Kaushik DaimlerChrysler Research and Technology, Bangalore, India aut Reliability-based multiobjective optimization for automotive crashworthiness and occupant safety [Elektronische Daten] [Kaushik Sinha] This paper presents a methodology for reliability-based multiobjective optimization of large-scale engineering systems. This methodology is applied to the vehicle crashworthiness design optimization for side impact, considering both structural crashworthiness and occupant safety, with structural weight and front door velocity under side impact as objectives. Uncertainty quantification is performed using two first order reliability method-based techniques: approximate moment approach and reliability index approach. Genetic algorithm-based multiobjective optimization software GDOT, developed in-house, is used to come up with an optimal pareto front in all cases. The technique employed in this study treats multiple objective functions separately without combining them in any form. It shows that the vehicle weight can be reduced significantly from the baseline design and at the same time reduce the door velocity. The obtained pareto front brings out useful inferences about optimal design regions. A decision-making criterion is subsequently invoked to select the "best” subset of solutions from the obtained nondominated pareto optimal solutions. The reliability, thus computed, is also checked with Monte Carlo simulations. The optimal solution indicated by knee point on the optimal pareto front is verified with LS-DYNA simulation results. Springer-Verlag Berlin Heidelberg, 2006 Reliability-based multiobjective optimization nationallicence Uncertainty quantification nationallicence FORM nationallicence Nondominated points nationallicence GDOT nationallicence Pareto optimal solution nationallicence Knee point nationallicence Automotive crashworthiness nationallicence Occupant safety nationallicence Side impact nationallicence Monte Carlo simulation nationallicence Structural and Multidisciplinary Optimization Springer-Verlag 33/3(2007-03-01), 255-268 1615-147X 33:3<255 2007 33 158 https://doi.org/10.1007/s00158-006-0050-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-006-0050-x text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Sinha Kaushik DaimlerChrysler Research and Technology, Bangalore, India aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 33/3(2007-03-01), 255-268 1615-147X 33:3<255 2007 33 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer