Optimization of the crashworthiness design of carbon fiber-reinforced polymer bumper beam

References

• Wang Q, Lu JH, Liu Z, et al. A lightweight design of carbon fiber reinforced plastic auto bumper. J Shanghai Jiao Tong Univ. 2017;51(02):136–141. doi: 10.16183/j.cnki.jsjtu.2017.02.002.
   Google Scholar
• Chen J, Tang AT, Tian K, et al. Lightweight design of carbon fiber composite anti-collision beam. Automot Eng. 2020;42(03):390–395. doi: 10.19562/j.chinasae.qcgc.2020.03.016.
   Google Scholar
• Xue Y, Zhao HB, Zhang YX, et al. Design and multi-objective optimization of the bumper beams prepared in long glass fiber-reinforced polypropylene. Polym Compos. 2021;42(6):2933–2947. doi: 10.1002/pc.26026.
   Web of Science ®Google Scholar
• Ma QH, Zha YB, Dong BY, et al. Structure design and multiobjective optimization of CFRP/aluminum hybrid crash box. Polym Compos. 2020;41(10):4202–4220. doi: 10.1002/pc.25705.
   Web of Science ®Google Scholar
• Belingardi G, Beyene AT, Koricho EG. Geometrical optimization of bumper beam profile made of pultruded composite by numerical simulation. Compos Struct. 2013;102:217–225. doi: 10.1016/j.compstruct.2013.02.013.
   Web of Science ®Google Scholar
• Gao DW, Liang HT, Shi GJ, et al. Optimization of carbon fiber-reinforced plastic composite bumper based on adaptive genetic algorithm. Math Prob Eng. 2019;2019:1–12. doi: 10.1155/2019/8948315.
   Web of Science ®Google Scholar
• Zeng F, Xie H, Liu QM, et al. Design and optimization of a new composite bumper beam in high-speed frontal crashes. Struct Multidisc Optim. 2016;53(1):115–122. doi: 10.1007/s00158-015-1312-2.
   Web of Science ®Google Scholar
• Wang CY, Wang WW, Zhao WZ, et al. Structure design and multi-objective optimization of a novel NPR bumper system. Compos Part B-Eng. 2018;153:78–96. doi: 10.1016/j.compositesb.2018.07.024.
   Web of Science ®Google Scholar
• Sun GY, Wang XS, Fang JG, et al. Parallelized optimization design of bumper systems under multiple low-speed impact loads. Thin Walled Struct. 2021;167:108197. doi: 10.1016/j.tws.2021.108197.
   Web of Science ®Google Scholar
• Liu Z, Zhu C, Zhu P, et al. Reliability-based design optimization of composite battery box based on modified particle swarm optimization algorithm. Compos Struct. 2018;204:239–255. doi: 10.1016/j.compstruct.2018.07.053.
   Web of Science ®Google Scholar
• Ma QH, Wang S, Zhou Q, et al. Parallel optimization of design and manufacture for carbon fiber reinforced plastic oil pan based on the thickness distribution. Polym Compos. 2021;42(12):6648–6663. doi: 10.1002/pc.26329.
   Web of Science ®Google Scholar
• Fonseca JH, Quagliato L, Yun S, et al. Preliminary design of an injection-molded recycled-carbon fiber-reinforced plastic/metal hybrid automotive structure via combined optimization techniques. Struct Multidisc Optim. 2021;64(4):2773–2788. doi: 10.1007/s00158-021-02988-y.
   Web of Science ®Google Scholar
• Liu Q, Lin YZ, Zong ZJ, et al. Lightweight design of carbon twill weave fabric composite body structure for electric vehicle. Compos Struct. 2013;97:231–238. doi: 10.1016/j.compstruct.2012.09.052.
   Web of Science ®Google Scholar
• Zhang HT. Lightweight and performance of anti-collision strength of automobiles based on carbon fiber composites. Korean J Mater Res. 2019;29(9):525–531. doi: 10.3740/MRSK.2019.29.9.525.
   Web of Science ®Google Scholar
• Park SW, Choi JN, Lee BC. Multi-objective optimization of an automotive body component with fiber-reinforced composites. Struct Multidisc Optim. 2018;58(5):2203–2217. doi: 10.1007/s00158-018-2008-1.
   Web of Science ®Google Scholar
• Lei F, Qiu RB, Bai YC, et al. An integrated optimization for laminate design and manufacturing of a CFRP wheel hub based on structural performance. Struct Multidisc Optim. 2018;57(6):2309–2321. doi: 10.1007/s00158-017-1861-7.
   Web of Science ®Google Scholar
• Datta G, Bhattacharjya S, Chakraborty S. Efficient reliability-based robust design optimization of structures under extreme wind in dual response surface framework. Struct Multidisc Optim. 2020;62(5):2711–2730. doi: 10.1007/s00158-020-02606-3.
   Web of Science ®Google Scholar
• Yun WY, Lu ZZ, Zhou YC, et al. AK-SYSi: an improved adaptive kriging model for system reliability analysis with multiple failure modes by a refined U learning function. Struct Multidisc Optim. 2019;59(1):263–278. doi: 10.1007/s00158-018-2067-3.
   Web of Science ®Google Scholar
• Liu H, Zong HM, Tian Y, et al. A novel subdomain level set method for structural topology optimization and its application in graded cellular structure design. Struct Multidisc Optim. 2019;60(6):2221–2247. doi: 10.1007/s00158-019-02318-3.
   Web of Science ®Google Scholar
• Acar E. Effect of error metrics on optimum weight factor selection for ensemble of metamodels. Expert Syst Appl. 2015;42(5):2703–2709. doi: 10.1016/j.eswa.2014.11.020.
   Web of Science ®Google Scholar
• Xiong F, Wang DF, Zhang SA, et al. Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis. Struct Multidisc Optim. 2018;57(1):441–461. doi: 10.1007/s00158-017-1749-6.
   Web of Science ®Google Scholar
• Deng JL. Control problems of grey systems. Syst Control Lett. 1982;1(5):288–294.
   Web of Science ®Google Scholar
• Deng JL. Introduction grey system theory. J Grey Syst. 1989;1(1):191–243.
   Google Scholar
• Wang Y, Zhou LH, Yang GJ, et al. Performance and obstacle tracking to natural Forest resource protection project: a rangers’ case of Qilian Mountain, China. IJERPH. 2020;17(16):5672. doi: 10.3390/ijerph17165672.
   Web of Science ®Google Scholar
• Xiong F, Wang DF, Yin SW. Optimization analysis of novel foam-filled elliptical columns under multiple oblique impact loading. Materials Design. 2018;156:198–214. doi: 10.1016/j.matdes.2018.06.057.
   Web of Science ®Google Scholar
• Babaei M, Pan I. Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty. Comput Geosci. 2016;91:19–32. doi: 10.1016/j.cageo.2016.02.022.
   Web of Science ®Google Scholar
• Xiong F, Wang DF, Ma ZD, et al. Structure-material integrated multi-objective lightweight design of the front end structure of automobile body. Struct Multidisc Optim. 2018;57(2):829–847. doi: 10.1007/s00158-017-1778-1.
   Web of Science ®Google Scholar
• Deng JL. Control problems of grey systems. Systems Control Lett. 1982;1(5):288–294.
   Web of Science ®Google Scholar
• Li Y, Zhang FP, Yan Y, et al. Multi-source uncertainty considered assembly process quality control based on surrogate model and information entropy. Struct Multidisc Optim. 2019;59(5):1685–1701. doi: 10.1007/s00158-018-2154-5.
   Web of Science ®Google Scholar
• He XY, Sheng J. New evaluation system for the modernization level of a province or a city based on an improved entropy method. Environ Monit Assess. 2020;192(1):1–10. doi: 10.1007/s10661-019-7904-3.
   Web of Science ®Google Scholar
• Marzband M, Javadi M, Pourmousavi SA, et al. An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory. Electr Power Syst Res. 2018;157:187–199. doi: 10.1016/j.epsr.2017.12.024.
   Web of Science ®Google Scholar