caa a22 4500 445878126 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11081-010-9125-z doi (NATIONALLICENCE)springer-10.1007/s11081-010-9125-z Shape, sizing optimization and material selection based on mixed variables and genetic algorithm [Elektronische Daten] [Xingang Tang, David Bassir, Weihong Zhang] In this work, we explore simultaneous designs of materials selection and structural optimization. As the material selection turns out to be a discrete process that finds the optimal distribution of materials over the design domain, it cannot be performed with common gradient-based optimization methods. In this paper, material selection is considered together with the shape and sizing optimization in a framework of multiobjective optimization of tracking the Pareto curve. The idea of mixed variables is often introduced in the case of mono-objective optimization. However, in the case of multi-objective optimization, we still face some hard key points related to the convexity and the continuity of the Pareto domain, which underline the originality of this work. In addition to the above aspect, there is a lack in the literature concerning the industrial applications that consider the mixed parameters. Continuous variables refer to structural parameters such as thickness, diameter and spring elastic constants while material ID is defined as binary design variable for each material. Both mechanical and thermal loads are considered in this work with the aim of minimizing the maximum stress and structural weight simultaneously. The efficiency of the design procedure is demonstrated through various numerical examples. The Author(s), 2010 Material selection nationallicence Shape optimization nationallicence Mixed design variables nationallicence Multiobjective optimization nationallicence Genetic algorithms nationallicence Tang Xingang Engineering Simulation and Aerospace Computing (ESAC), The Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, 710072, Xi'an, Shaanxi, China aut Bassir David Aerospace Structures, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS, Delft, The Netherlands aut Zhang Weihong Engineering Simulation and Aerospace Computing (ESAC), The Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, 710072, Xi'an, Shaanxi, China aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 111-128 1389-4420 12:1-2<111 2011 12 11081 https://doi.org/10.1007/s11081-010-9125-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-010-9125-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tang Xingang Engineering Simulation and Aerospace Computing (ESAC), The Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, 710072, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Bassir David Aerospace Structures, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS, Delft, The Netherlands aut NATIONALLICENCE 700 1- Zhang Weihong Engineering Simulation and Aerospace Computing (ESAC), The Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, 710072, Xi'an, Shaanxi, China aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 111-128 1389-4420 12:1-2<111 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer